Thanks for watching everyone! Although not explicitly mentioned in the title, I highly recommend exploring the self taught route. There are plenty of great online resources out there for you to use. (Free) My Recommendations: ua-cam.com/video/Ip50cXvpWY4/v-deo.html&ab_channel=KenJee (Paid) 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
I am 45 and a retired teacher looking to start a career in Data Science. I really appreciate this work from you. This is the best advice I have received. Thank You.
Master's in astrophysics here! I'm planning to complete two Coursera certificates in Deep Learning (by Andrew Ng) and Data Science (IBM). I have also taken courses in databases and data mining as part of my master's. Hopefully I can get some job responses soon.
I think that is a really good path. I think many companies would be interested in talking with you based on your background. I would make sure to complement the courses with projects though!
I come from a background in experimental psychology. I’ve worked a ton with statistics, software packages and both quantitative and qualitative data and I’ve finished the MA degree involving a thesis. I currently work in the clinical side of psych and want to get back into something involving data, stats, marketing and ai. I have experience with blogging, web design and SEO. I’m considering the route of self-study. I want to start working on some projects and continue working at my full time job and see where it may take me.
I think that is a really good idea! I almost always recommend the self study and project route, especially if you have some background with stats / coding
Thanks for watching Victor! I've actually made two on this topic in this playlist: ua-cam.com/play/PL2zq7klxX5AQ3Dkl7113VO9t1rm3e4FLA.html . I hope they help!
I'll be going to General Assembly for Data Science in July. I'm currently working on my math and Python skills as I don't have a professional Analytics background (coming from Sales). I'm really grateful for your insights as to how to make something out of my own circumstance!
insigh01 I am taking the same course in July as well and know the professor personally. He's a great guy and he recommended I do some of the pre work to gain some familiarity with Python.
For a field that is growing, you provide awesome content for people to navigate through it. Your help is much appreciated. My question is in regards how to get into data science. 1) Data Science Bootcamp (which includes programming requirements) > Use that knowledge to work on projects (freelancing, build portfolio) 2) Start with a full-stack development / software engineering bootcamp, get experience there, and then slowly transition to data science? Coming from a civil engineering background with little to no coding experience, what sounds better?
I actually hand't thought of option 2, but I like it quite a bit. I think that dev bootcamps are more organized at this point, and the bar for getting a development job is slightly lower than data science. I think that route could be very interesting!
Considering that I am now 45 and looking to begin a masters in data science program this fall since my current masters in exercise science has not yielded any sort of suitable or gainful employment, I'd be more than content to find an entry level data analyst role upon graduation from a data science program. Although I have done a handful of projects and have started building a portfolio, I'm hopeful that my chances of getting an internship, landing an entry level data analyst role, or associate data analyst role while going through this master's will be increased. It's as if I feel starting this masters program will help give me that extra edge to at least obtain the most entry level position in data analysis versus just my current degree and portfolio. I say this because it seems most job listings require or prefer some kind of quantitative degree, and exercise science does not seem to make the cut. There seems to be too much of a question as to landing an entry level data analyst job even with a much more robust portfolio which I'm sure I could have by year's end.
I have 7 years experience as a business analyst and a BS in Math. In my current role I have been learning and applying data science, so I think I am ready to find a good data science job already, in my opinion. I haven't started applying but I plan to very soon.
Would love to hear how it goes! Maybe you should start a youtube channel on data science haha. I need to really improve the video aspect of my videos I think
Good afternoon Michal. Please I intend to subscribe to the 365 data science monthly payment plan. I wanted to know if it'll be worth it. So far, has it been good?
simple answer: Bootcamp. I speak from experience. I have only 6 credits left to finish my MS Computer Science degree and I can tell you right from the bat.......I learn more about tools that I will actually use on the job market from youtube not from my masters classes. Bootcamp is more hands on. You learn by working on projects not reading some text book and doing a quiz (The answers to the quizzes are on quizlet anyways)
Thanks for the personal experience thoughts. I had a very different experience with my masters in CS experience. I think that it varies greatly by the program!
Aye man I’m thinking about applying for a Washington university data analytics boot camp for under a little under 13k for 24 weeks. I have no experience and but they go over most things in the field. Mentioned about helping with resumes and landing my first job. Also said that they would aid me with the degree if I choose to go further.
I'm not familiar with that program, but it sounds pretty interesting! I would make sure you talk with some of the graduates to see if they got their moneys worth!
@@KenJee_ds I looked on a website there was 1 bad review about it not being worth it and the rest are good life changing experiences could be sketch but idk . Do you have any advice if I should go start off that route or take different course. please let me know in your opinion how I should go about starting up. would this bootcamp be the best decision. Data Analyst Data Engineer Database Administrator (Entry Level) Data Scientist (Entry Level) Big Data Engineer (Entry Level) Data Journalist Business Intelligence Analyst Business Analyst Research Analyst SQL Developer Software Engineer (Entry Level) Data Architect Computational Scientist. these are the things they say ill be qualified for
Hey Ken, thanks for making this video. I’ll be starting a Masters in mental health counseling this coming fall, but I did always have an affinity towards the data-heavy classes I had in undergrad. I definitely feel drawn to counseling, but perhaps a certificate wouldn’t be a bad idea for exploratory reasons, as you’d said:) Much appreciated!
OMG there is so much you can do with a psychology background and strong data skills!! My friend Lisa-Christina Winters made a whole business in that space. If I were you I'd Google her and see what's sort of opportunities you can find at that awesome intersection of talents :)
Thanks for the video! I’m looking to get into Data science after my bachelors degree in sports management not helping me( Thanks pandemic). So I’m currently trying to work on some personal projects!
Too much resources on the internet makes me so distracted. I personally like learning by doing and I would enroll to a course that gives me this challenges. Thanks for the vid
So basically is it modest to say that the silver bullet to get into a good role is: ➡️to have had Software Engineer/Development education + experience Else ➡️to have been submerged in roles in your current situation (sometimes very unlikely) analyst to scientist ➡️if none of the above, then to get either of the three things (recommended but not required) but without a work portfolio (professional or otherwise) it is intensively hard
@@KenJee_ds gotcha! At the moment, due to work/life balance I am at the certificate that has a capstone project. But I will see if it is for me. Very convinced it is so far. After that I’ll have to see how to improve that portfolio. Great stuff dude
Hey Ken, your down-to-basics and straightforward approach to the explaining data science and learning it are very confidence-inspiring to someone trying to get into the field. I have a background somewhat in statistics in that I graduated with an undergrad in psychology but with a focus on statistics. I did 3 quantitative and 1 qualitative study in undergrad and I think I have some chance of using that to my advantage. I'm working currently to pay the bills and keep needs like health insurance available and I'm currently starting the self-study method. I've binged through a few videos and I'm going to try "ultralearning" data science, but I'm really not sure where to go from there. I'm going to try to build a good portfolio but I feel like if I just try to say" I have a degree in psych buut it's with a focus on psych stats" and then get just a cert or a bootcamp then it won't be worth it for anybody looking to hire. Getting a masters is always on the table but like you said that's a big time and money commitment for no guarantee of a career out of the gate. In the end I think the connections of a bootcamp are more beneficial for me but I also don't want to shell out cash to find out that method would not make me look as good on a resume compared to a degree program. Do you think a psych degree is a handicap or something I can still leverage?
Thanks for watching! I don't think a psych degree is a handicap. Honestly, I look at a person's github profile before I look at where they went to school or what they studied. I think doing good projects and sharing them can take you way further than you think. If I were you, I would start on kaggle, if you do well in some competitions, that also serves as social proof. I hope this helps!
Hey Ken. Nice video. I am an experienced economist. I have a a BA and MA in economics and finance. I have worked for 8 years in economics and econometrics. This basically entails extensive data analysis and statistics around economic issues, so I am very good with statistics, regressions, inference, and causality (a big thing in econometrics). However, in economics we mostly use Stata as the go to software. I am really interested in shifting to data science as I have a huge passion for data analysis. I need to learn the languages commonly used in data science (R, python…) but I am strong on the statistical background. Any insights on what’s best and where to start keeping in mind that I am currently a full-time economist. So the transition has to be gradual or more like a side-hustle in the beginning. Thanks
Currently a CS student looking at the data science field. I'm in my school's co-op program, and also planning on doing its accelerated Master in machine learning as well. I wonder if you have any take on getting a Master at a small and not as well known college? Right now, I'm finishing my sophomore year and my first internship, but I'm finding it increasingly hard to even get a response from data science-related roles. I'm worried that this will be a snapshot of what's to come even when I graduate, do you think a Master will help with getting past the initial resume screening, or is it not worth it if it's not from a more recognized school? Also, really appreciate the fact you are still taking time to answer questions on old videos!
For advanced technical degrees, I don't think the school matters too much during the interview process. However, coming from a larger school may mean that you have more connections to actually get to the interview. Larger schools can have a greater network which would allow you access to more positions. I think that if you get some good projects and another internship or two under your belt, you will be in a great position to land a ds role regardless of if you have a masters or not (and where it is from hypothetically). I hope this helps!
Thanks. Really appreciate the breakdown. Looking into exploring into DS, and this has been the best breakdown of the pro and cons if each option. Thanks Ken.
Hi Ken. I'm looking to transition into data science over the course of the next year or two if possible. I have around 8 years experience in digital media, so there is somewhat of a narrative of "data analysis" that I can build on - though that analysis was limited to digital media analytics platforms. The job has given me an edge in terms of communication, presentation-building, etc., but that's where my advantages end. My undergrad is in a non-quantitative major (sport management). I have zero calculus at this time. I spent the first 3 years of my career in sales. And I cannot afford to take an internship at any point throughout the remainder of my career. I'm currently taking the Data Analysis nanodegree program with Udacity, and getting a really good handle on the analytics toolkit. The programming is coming easier than I expected. From there I was thinking of self-studying the math, and doing the Udacity Data Science nanodegree to start to get the DS foundation. I think I have a reasonable shot of moving into the analytics department at my current agency within the next year. I can start to build a DS portfolio around that time as well. With that context - do you suggest I go masters, boot camp, certificate, or continued self-study after that?
If you can transition within your company, I don't see a reason to do anything beyond maybe some certificates (especially if you are feeling pretty good with the self learning). On the other hand, if your company is willing to fund learning, then a masters may be worth it!
I'm in Ireland so the set up is a little different but my original degree was in social science and now I'm doing a higher diploma in Data Science. This is a post grad qualification that is an add on to your degree but it's not quite a masters either. Personally I'm coinciding that with different online courses or certificates. The diploma is two years part time and it is designed for people with no data science background so there is a lot to cram in. Naturally there will be area's that i'm weaker in or where the diploma does not go into detail as I would like so I use certificates to fill those gaps. Mid term term breaks, winter breaks and soon summer breaks are a good time to do these when lectures are no longer running and you've finished up exams. In saying that university education in Ireland is a lot cheaper. My first degree was free and this higher diploma is around 4000 euro in total so I don't mind spending an extra little bit to do some courses in my own time.
I have heard from many sources that the cost of masters programs or masters like programs is way cheaper outside of the US. I think that this could be a good option. I also think that if you did that program and projects or supplemented it with online coursework you would be in a great position. I hope this helps!
@@KenJee_ds That does help. I only discovered your channel recently and from the little I've watched it's been invaluable. I'm in my last two weeks of first year so doing exams and finishing assignments now but when I finish up I plan to watch your videos on data science projects. I have still have a year to go have covered a lot of data cleaning, regression and random forests so I think I should have enough to do some projects over the summer. Again you videos are great. You definitely deserve more views and subscribers
You are super awesome for making this video! I have a history degree (feel free to laugh at me lol), and no documented math backround except that my job in real estate required making and reviewing budgets. I'm really hoping to land an analyst role after a bootcamp.... praying I won't need a bachelors
Hey Ken, I’m. Recent graduate with a Biology and Business (Finance and Econ) undergraduate degree and some familiarity with data analysis (Excel, Stata, SQL (a little)). I have a job in management consulting starting in January and am looking to strengthen my data skills. Which of these (If any) would be best for me?
Nice! I came from a management consulting background as well. A lot of consulting firms will pay for you to do a certificate or an online program. I would see what options you have through them for continued education.
Great video! Could you make a video reviewing couple of online certificates or courses, and some bootcamps? I think that’d really help out someone like me who’s just starting out and trying to make the best decision possible. Thanks you.
Thanks for watching! Unfortunately, I don't feel super comfortable reviewing programs that I have not personally taken. I would refer to a few of the other youtubers like Tina Huang, Alex the Analyst, and Luke Barousse for those!
I'm in the same situation right now. I'm doing a PhD in physics and decided a couple of weeks ago to work with data science instead of follow the academic path. So all of my PhD free time I spend on studying data science.
@@idea_yahya If you do end up going for the 365 DS course, here is a discount for 47% off the annual fee: 365datascience.pxf.io/Z7gXQ . I hope it helps you on your learning journey!
Hey you, Ken! Really nice channel you have here. You've got one more subscriber. =) . Here in Brazil we have this kind of discussion every day. And for the ones who is not from the field, but really passionate about data and the math behind it - and of course have enough time to do so -, won't you recommend a second bachelor related to the field? For example: Statistics, Computer Science, Mathmatics, and so on? . Briefly, I think for the tools, softwares, programming languages there are no better place to learn them than in online courses. Thus, the bachelor would give us the theory we need and in parallel sharp our skills with online courses. . I'm curious to know your opinion about it. Cheers from Brazil, buddy!
Hi Humberto - Thanks for watching the video and subscribing to the channel! My thought is that if you are willing to go back to school for a second bachelors, why not just do a masters? It should take around the same amount of time, and you get an advanced degree (a requirement for many positions). Most of these masters are targeted for people that are new to data science, so they teach you some of the fundamentals as well. I don't think there is anything wrong with going back for a second bachelors though (especially if it is free or very cheap).
Good evening Sir Ken Jee. I must say that you have been most helpful to many here and I deeply appreciate it. I have a BS and MS in Pharmacology and Toxicology(biomedical sciences) and I hope to transition into the data science field. With zero coding experience and a fair knowledge of math, how do you suggest I begin Sir? Also, what online courses (with links) would you suggest I start with? Is 365 data science site good enough? Kaggle seems to jump right into machine learning and thus I'm quite wary. So pleaser Sir, could you kindly shed some light? Thanks
I think the kaggle micro courses are really good, even for beginners. I recommend watching this video for other free resources out there ua-cam.com/video/Ip50cXvpWY4/v-deo.html. 365 data science is also great for beginners. Thanks for watching and supporting my channel!
Very intuitive. Thanks. I've a Master degree in Physics (specialization: particle physics). I'm thinking of diving into data science. So, apart from what you have said, would you be able to guide me in this regard specifically? What would be the best case scenario in my case? I have a strong background of Mathematics and an intermediate level of programming.
Thanks for watching! I think with a masters in physics you shouldn't have too much of a problem getting into data science. Physics is a very well respected background in the industry. I would recommend that you build out a portfolio of 4+ data science projects and start networking to find opportunities. Your level of math and programming are great, you just have to show that you can apply them via projects. I hope this helps!
Thanks Ken! I’m 53 and am currently a data analyst with mostly DB skills. We merged into a hospital system and I need updated analytics skills. I’ll have a job. Just need the best skills. What do you recommend in my case?
Hi Tracy! I would try to get as much info on what the rest of the team is comfortable using. Most likely it will be python or R. I think getting fairly comfortable with those and whatever other tools they will be using is the best course of action. I hope this helps!
I just completed an undergraduate degree in biomedical science and planning to do a Masters in data science and I was wondering how much of a transition would it be if I haven’t done any coding or maths?
I think most of the masters in data science programs start you off at a pretty introductory level. If I were you, I would brush up on some coding and math concepts beforehand though.I generally recommend the free kaggle micro courses. I hope this helps!
@@KenJee_ds I'm going to do a masters in Data Science In Engineering and I specifically had to do premaster with Calculus, Discrete Math, Linear Algebra and Statistics and Probability before I could even get accepted to the master. The master itself contains advanced statistics. Bear in mind that it is a masters at a Technical University and the master is very similar to the Computer Science And Engineering one.
kenny I'm in the exact same boat with biomed background except i wanted to do operations research, I already submitted one application for a pre-master and today is the deadline for submitting another application for a full master at a different uni. from what i know the programming requirements will not be as high as the statistics and calculus but most importantly the proofs! I dont know if i should spend the rest of the day doing the second application when there's not much chance i'll get in to doing a full master off the bat. i remember the application asking me what ideas i have for the masters thesis and i was like bro i dont even know the question never mind the answer lol!
@@DavidsonLoops I'm starting the Master's in data science in a weeks time and the requirements was to have a 2:2 bachelor's degree in a numerate, scientific or computer-based subject with A-level equivalent maths. I'm going to LJMU (a UK university) so I'm not sure what unis outside the UK are like
@@kenwong237 im from the UK too, I didnt get in to either uni because of my grades. I'm so happy to hear that you got in. Shame you wont be able to enjoy the uni lifestyle so much because of covid. at least there'll be no distractions to stop you putting your head down.
Thank you very much, I am not sure whether you have posted video about data analyst or not, but please would you post video which explain difference between data analyst and data scientist.
I'd like to do a bootcamp or a certificate, but I can't pay those out of pocket so I'm just sticking with Masters cause job kinda got screwed cause of covid lockdown 🙃
I would definitely try to get as much work experience as you can during the masters route. There are some good virtual internships going on right now and some good research opportunities. These will be the best things for job hunting going forward. I hope this helps!
@@KenJee_ds I'm lucky in that I'm supposed to intern in September for the company I've been beta testing an app for for 2.5 years now, but I'd still like to diversify 😅I hadn't considered research opportunities before so it definitely helps! Thank you! 😄
Hey Ken! I have done my UG in computer science years ago, currently an eSports coach starting my master's degree in eSports this fall, I want to be able to track player performance using game data, also analysing game data which will help me give a deeper understanding of of my team's performance. So far I have been doing this in a very pain staking method of gathering a few key points of data and the comparing them on paper. I am confused as to if I should start certificate program's or just start learning a software such as SQL or python. I'd really appreciate to hear your suggestion.
That is an awesome career path! I would probably have to learn more about how the game data is stored and collected. I would generally recommend learning some python to be able to work with the data though. Feel free to reach out to me via email if you would like (in my about section). I am sure that I could connect you with quite a few people who would be interested in helping you to better understand that data.
Hi Ken. Thank you for posting this. I am looking to transition into the Data Science world. I am strongly considering going to a bootcamp. I am curious to know what your thoughts are: I have a BA in Psychology, have TAed statistics courses. But I have been out of the field for a bit. I am hoping that a bootcamp will help me to quickly learn the skills that will eventually lead me to a job. I am nervous that employers won't take me seriously with only a BA.
I think it really depends on the types of roles you are targeting. If you have the funds to cover the bootcamp and are willing to take an analyst role, I think that is a reasonable approach to take. Thanks for watching!
I work in the government sector, ministry of finance of my country and i like doing forecasts on cash incomes and expenses. I want to set myself apart from my colleagues who all pursue MPA. Would it be a good choice to pursue a Data Science Masters? I got a Bachelor in Econ. by the way with major in macro econ but i would like the flexibility to also work freely in the private sector.
Hey Ken. I really appreciate your videos. I've been studying Data Science, Statistics and coding, and I feel a little lost about how to build a portfolio. Can you suggest me or give me some hints of how to do that?
Thanks for watching! A portfolio is made up of projects, so I recommend starting there. I would do at least one project on regression, one on classification, and one on clustering. You should organize all of these on github or kaggle if possible. I recommend this playlist for more info on projects and resume related stuff: ua-cam.com/video/DM1eE_Coh6g/v-deo.html
Thanks Ken - i recently subscribed and appreciate the informative videos. Some background - I have a background in Math (BS) & Chem Engineering (BS) and have been working in a data engineer/analyst role for the past 5 years at a major automotive company. Although I have a strong quant background, I feel like I need to hone my coding skill set to get to the next level in my work (currently familiar with some R, matlab, tableau, PowerBi). I am considering a online MS analytics from Georgia Tech for its curriculum, reputation, & cost (
Hi Jonathan - I have actually heard pretty good things about that program. I think that seems like a very reasonable path to take! Would your company help subsidize the cost? If so, it seems like a no brainier to me
I don't think it is hard to transition into data science from CS (My masters is in CS). I recommend doing as many data science projects as you can to show that you have a grasp of the statistics concepts!
Hi Ken, I have one question for you. Is it possible, and how much likely am I gonna get a data science job through LinkedIn, Glassdoor, Indeed, etc from a different location, working from a different place on the internet, with a data science certificate (like from Coursera, DataCamp, 365), and having good experiences doing different kind of projects?
Ken, thank you for the information. I am leaning towards a masters course. Further to your discussion, what are your thoughts on getting certified via MS, or AWS, compared to a master degree. To put it in context, I have a accounting/ finance research background.
I think the certifications are really good to have, but may not be applicable to quite a few jobs. Some companies use MS Azure instead of Aws so you would limit yourself a bit there. I hope this helps!
Hi Ken, I think you're the best guy I can ask this question. I have one year left in the Master of "Economic Analysis & Modelling" in Rabat, Morocco. I am familiar with Excel, R, and statistical packages like EViews & SPSS, but I was rejected from many Data Analyst internships in the US. So for now I started an internship in Morocco, where I basically make a questionnaire for a certain sampe, collect data, and analyse results. I have been also learning Python and Tableau because they were mentioned in the requirements of most Data analyst internships. Do you think I can land an internship next spring in the US with my anticipated level. Also how was the evolution of Data Analyst jobs and internships impacted by Covid 19. Thanks a bunch & God Bless u.
I think it would be possible to land an internship in the US, but will likely be very difficult. I think there is a very large bias for taking interns from schools in the US. For the job outlook, I think that the total market for all jobs has shrunk. However, if you clearly differentiate yourself through networking and projects, you will likely still have opportunities.
Lol. which one for someone in there 40's with no work experience, only an AS degree. But who has been programming since they where a child, and never been payed for it.. Who also can and has already built tensorflow, keras, pytorch and from-scratch models? It's so annoying to me when videos like this assume everyone watching must have a Bachelors degree already.
Sorry about the assumption here! I think a bootcamp could make good sense here. It would let you showcase your projects even more. They also help you with the networking.
As an undergraduate data science major, I've worried about not being able to land a data science position immediately after graduation. A lot of companies still seem to require a masters degree or at least 2-5+ yrs of experience for data science roles. I wanna carefully anticipate that these requirements would change within a couple of years to where undergraduate students are welcomed to apply, as I believe data science field is growing rapidly!
Thanks for watching! I think that because the undergrad data science major is so new, many employers don't know what to expect from it. I think that longer term this type of thing will pay dividends though. You may have to compromise with an analyst role out of school though (as we discussed)
@@KenJee_ds Yeah! I've been applying for data analyst & data analytics roles as you advised. Do you believe that companies would let me apply my data science knowledge with an analyst role? Is this something worth asking when interviewing?
@@importdata95 I think that they absolutely would! You should definitely be asking about opportunities for growth in the role during the interview process.
Hi Ken Jee, Thank you for your amazing videos. Im transitioning from a business consultant role and am planning on doing a bootcamp followed by a Masters immediately to finish next year. Do you think this would tick enough boxes to really digest as much knowledge in the most efficient way. The money isnt a big issue - im in Europe and its somewhat cheaper than N America
Hi Ken! I am not sure if you reply to comments on older videos but I just have a question that would help me a lot for my next step. I am a recent graduate from UCSB with math bachelor's degree. I dont have much data science experience as I only had internship in finance field. I was debating either bootcamp or master's to get my foot into the data field job or internship. Which one would you recommend? (Love your content btw!)
Thanks for the kind words! What is your current situation? The easiest way in would be to build a fairly strong portfolio and try to land a data analyst job. That should be accessible with your internship in finance. Otherwise I think a masters could be a practical step. That would allow you to do research or get another relevant internship. Most companies can be a bit wary of students who graduate and do a bootcamp straight out of the gate, the generally value experience over continued education
@@KenJee_ds Thanks for the reply Ken! I am currently working part time as Data Entry Clerk and was about to do Learningfuze data science bootcamp since I felt like it would help me get a data analyst job. I will definitely think twice about bootcamp since a lot of companies are cautious about hiring bootcamp right after graduation. Can I ask you the why they would be wary though? :)
Really nice video Ken. I got my Ph.D. in chemical engineering and recently I'm considering switching my career into the data science field. I have already finished several courses (mostly from Coursera) on ML, SQL, NLP, CV, etc. My current research job only involves simple regression tasks (mostly doable with Scikit-learn, rarely using TensorFlow) with small datasets. I am considering a bootcamp to improve my portfolio, and I am wondering if you can recommend a few good ones (not sure if it is ok for you to say the program names publicly).
It sounds like you're well on your way Anyang! Unfortunately, I'm don't know enough about the individual programs to feel comfortable making a recommendation. My best advice is to look at the success rates of the programs, and try to track down some of the past students with similar backgrounds to you on linkedin!
I have done Software engineering. Should I get Master degree in Data Science now to become a Data Scientist? or self learning along with various certificates and bootcamp and other online material is enough. In my engineering, I have learned almost mathematics you have mentioned one of your video.
@@KenJee_ds Thanks for replying. You and your content always helps us... And besides mathematics most of subject have covered in SE that is essential for DS..
Dear Ken, I have done my UG in Biology Science and currently studying in Bioinformatics for masters degree. I have totally no experience in coding before master but now I have some experience in Python, SQL, R, and machine learning(but very basic). My summer internship got canceled due to the pandemic and I'm worried about my lack of experience in real-work job when I graduate this winter. Bioinformatics maybe a bit different and I'd really appreciate to hear your suggestion.
Hi Jerry - I recommend taking a look at the data professor's channel. He is a data scientist in bioinformatics and he has some awesome advice there. He also has a series about virtual internships. I think those are worth looking into since your internship has been cancelled. I hope this helps!
Very helpful.. I have a PhD in systems science and industrial engineering and I'm familiar with all data science/coding topics. But I'm struggling with finding jobs I feel I need to strengthen my skills. What do you think?
Glad to hear the video was helpful! I think a bootcamp or a certificate program would make a lot of sense. The career resources (resume etc.) would be useful in your position. I also think the ones that are free with rev share when you get a job would likely be interested in you! I hope this helps!
Hello KJ, you said those that do Bootcamp might not get a DS job, how possible is this judging from the fact that there is a high shortage of Data Scientist??
I wouldn't exactly say there is a shortage of entry level applicants. There is a shortage of mid & senior level data scientists. The market is still very competitive at the early stages
I do wonder if a certificate would be good if you are already trained in an administrative capacity and they are interested in someone who can do front desk work and a little bit of data analysis. I work in the arts and have an arts degree but I want to branch out in an admin a bit.
Hi Ken, great content. I am torn between certificates and bootcamp. I have PhD in Materials Science and masters in both Materials Science and Mechanical Engineering (2 masters). I was a very happy Data Analyst when COVID Crisis hit (the industry was aviation so yeah...). I also have some experience with six sigma, lean manufacturing and production as well. What would you advise a person like me? I was thinking about getting a bunch of certificates - those offered by deeplearning.ai on Coursera seem to be ok (as opposed to IBM Data Science course - this one sucks), also Coursera has several courses organized by Google, AWS, Mongo DB, etc that seem interesting, as they prove presence of some practical skills in real industry used tools. What do you think is the better option - bootcamp or a collection of certificates? I leaning towards collection of certificates - this means I don't have to go through the basics of Python programming again, and in the price of the bootcamp (say 2500 usd) I can get some interesting collection of new skill certificates or deepen those I feel need deepening.
I think your approach makes the most sense! The one thing the bootcamps do offer is resume review & job fair type stuff. I think you can get creative and use the resources at your past academic institutions to supplement for these if you go the certificate route.
@@KenJee_ds Thank you for the answer! I don't believe in resume reviews & job fairs... but maybe in different parts of the world how useful these are differs. ;)
I'm doing economics and statistics degree and I'm already self taught software developer. I'm good at Python too. My question is, if I teach myself data science,is the this econ stat degree going to help me in the job requirements or they just need data science cert? And is it possible the math taught in my class ( Calculus1 &2,statistics and linear algebra) may cover for the maths required for data science or I need to learn more maths? Thanks🙏
I don't think a data science certification is necessary. The most important thing is being able to show that you have the data science skills. I can't stress the importance of projects enough. If you have many good projects on your github or on kaggle, this is what will demonstrate your knowledge of the field to employers. The math taught in those classes should cover almost all of it! I hope this helps!
Another question, if we have the funds to pay for a Data Science degree at say Maryville University on line but it is not a masters do you feel that is okay? The other option is for my son to finish his current B.A. in PHHP at the University of Florida and move forward to the Post Baccalaureate degree to get the additional credits needed. He would then move on to the B.A. in C.S. and finish that degree. One is longer and a Public University the other is Private, but I belive he can obtain what he needs in Maryville. This is the trade off and frankly he hates the PHHP bachelor's and has 3 more semesters and I would like him to just move on. One is more time, One is more money. Please help with advice.
Especially with the job market with the pandemic, I don't think it is a bad idea to stay in school longer, especially if he thinks he will be studying something he would enjoy more. I generally feel that a masters is more useful, but it really isn't needed if you build out a strong portfolio and network well. I hope this helps!
Hey Ken awesome video, there is so much (sometimes conflicting) information out there about data science, it's nice to see you break it down. I just got admitted to Tufts for a master in data science with thesis. My undergrad is in electrical engineering. Just wondering if you know anything about the Tufts programs or would know what to anticipate in terms of career outcomes after graduation?
Thanks for watching Andrew! Unfortunately, I don't know much about that specific program. I recommend finding some grads on linkedin and asking them about their experience!
Hi Ken, I'm really enjoying your videos and aspire to be a data scientist in the environmental field. I'm currently working as a data analyst but my projects continually involve just data cleaning/formatting in python and vizualization in tableau. I would like to transition to a data science position where I am able to use machine learning. Do you have any advice for making the transition from a data analyst to a data scientist. I'm reading a textbook on statistical learning to get an understanding of theory but not sure where to go from there. Thank you for making these videos!
I think you're in a really good place for that transition. The first place I would look is in your current company. Are there opportunities for you to do some of your work using python or more advanced tools? Would your boss be open to letting you do training / projects with more of the data science skillset? The second place I would go to would be kaggle.com. There is plenty of data and good project examples. I really recommend doing more project focused stuff than diving into the theory too much. I hope this helps!
Hi Ken, thank you for the great video! As a four-year experience data/risk analyst, I think your suggestion makes a lot of sense. A master degree could be a great choice if I want to move to a data scientist type of role. I wonder if you could share your thought a little bit about a master in DS vs Stats. My concern is DS programs are relatively new, and maybe most hiring managers are suspicious about the program and expectation of candidates are not established yet, so they would rather choose candidates with stats background. And plus, fundamental knowledge of stat could potential help solving hard core tasks in career later. Could you please share your thought on this please? Thanks!
Thanks for watching! I think your concern is well founded. If I was going to look into a Masters in DS degree, I would make sure that I evaluated the course curriculum very carefully. You don't want something that is watered down. I think stats could be a great idea if you come from a very strong coding background or are able to pick up the coding portion very easily. I think that having strong coding skills as a data scientists is actually what can help you the most in your future career. So there is kinda a trade off, get potentially watered down math and coding from a masters in ds (not all programs but probably some) or get strong math and relatively little coding (self study) from a MS in stats. I hope this helps!
@@KenJee_ds Thank you so much for sharing! That's a very great comparison between MS in DS and MS in stats. So I guess there will be a trade-off anyway. I am coming from a information system background, so I have learnt C++, Java, Javascript, from academic program. But I wouldn't describe myself with strong coding skills since I mainly use SQL and a little bit of Python in my daily work. I think in this case, I may perfer an MS in stats or CS rather than DS.
Hey great video, very informative...I have a question for you. What would you say to someone looking to get a bachelor's in data science? I'm in my 30's with no degree, my local university (UCCS in Colorado springs) has a bachelors program in data science, and honestly I feel like it would a lot of sense for me to take that route. I, like you mentioned about yourself, need structure around the learning/schedule of it all for me to succeed. Knowing most positions in data science require(or greatly prefer) a masters/PhD, I think a bachelor's degree in the field would be a great place to start, right? I'd be curious to hear opinions/thoughts on this. Was bachelor's just not included in this comparison because it's not as commonly offered? Thanks :)
Hello ken! New subscriber here. My current situation is that i've graduated with a Honours in Biochemistry and last year i enrolled into another undergraduate degree in Computer Science because I figured I would switch my career in hopes of finding a job. After completing my 1.5 years, I've decided to take on a Data science course on udemy and has since created 3 personal data science projects. Do you think that's good enough and that I should apply for jobs or should I just finish my Comp sci undergrad. Also loving the content you put out! Thanks
Thanks for the sub! I don't see why you couldn't apply for jobs and also finish out your undergrad. If you get a job, great, if not you still get the degree there. I hope this helps!
Hi Ken! I'm new to your channel.. thanks for everything! I have an economics background but no professional technical experience. Based on the video, it sounds like you'd recommend a masters degree over a bootcamp. I'm wondering your take on why a bootcamp may not be sufficient in getting a data science or analytics job? Not much of a portfolio here, but is that not something you can build out when doing a bootcamp?
Thanks for watching Kyle! I generally actually recommend not doing either and going the self study rout if you're motivated enough. I think that there are a lot of positions that ask for candidates to have masters degrees. If you want to open yourself to the most opportunities possible, having one can really help. Again, there are still a lot of cost considerations here. I think that you may learn even more in a bootcamp than you do in the first 6 months of a masters degree, but you still wouldn't have the degree that companies are using as a criteria. I personally think it is stupid that organizations recruit this way, but as it stands now it is a sad truth of the industry. I hope this helps!
hi ken, thank you for your all useful videos, honesty you should teach too, got a question for you, I'm 39 and taking my data science certification now and planning to get to data science bootcamp, would love to know what do you think? is that a good idea to take bootcamp right after my certification?
Hi Ken, thanks for the video! I am a software developer and now learning Data Science with IBM's Coursera Professional Certificate and Practical Stats for Data Scientists' book from O'Reilly. What would you recommend to learn DS the fastest? I am ok with self teaching doing at the moment 1 course + 1 chapter of the book per week. Thanks in advance!
Hello Ken! I'm a new subscriber! I love your channel. I've been going through a few videos. I'm currently working in the social impact sector . I'd like to know more about how I can use data science to grow in my career. I have no background in Data Science but I do have some understanding of the basics of programming. I studied electrical engineering in my undergrad and have some experience with SQL through some previous jobs. My current role is more operational which I enjoy but I would like to explore this area. Could you share your thoughts on the intersection of these two fields? Also would like to add, after watching through this particular video, I feel that a DS certificate + DS bootcamp would not be the best fit for me.
Hi Anjana - Thanks for subscribing and watching my videos! I think there are infinite ways that data science can be combined with the social impact space. A good example is the expansion of free data science resources for keeping track of the COVID-19 pandemic. I think the broader social impact space is lagging behind other industries with data science growth. I think that this is a good thing for you. That means that there are plenty of opportunities to experiment and potentially do some good. There is plenty of free data that is collected by local state governments (data.gov), so you can get started on projects without necessarily needing data for the companies that you work with. I recommend tying your projects on specific causes that can help individual organizations. If you show them your work, they will likely want to collaborate or even offer you some sort of contract. I hope this helps!
Hi Ken, I majored in data analytics for my undergrad and have some work experience as a data analyst as well as a junior data scientist. I'd like to transition into the data science side of things and I was actually admitted into a masters program at the university where I completed my undergrad. The cost of tuition however is far too high for me to afford would a bootcamp be the next best choice because of my background?
Honestly, with your experience, I don't think either would be necessary. I would pursue an analyst job (where you get paid to learn skills), and try to transition into ds after a year or two.
Hey Ken will love if you could update this video for 2022. I am petroleum Engineer and in general I see the application of ML growing exponentially within the field. Not sure if you have anyone in your network that could advise on the transition. I personally been doing MOOC’s and undecided on doing the MSc while working.
I think everything still holds for the next few years! If anything, I think there is more of a premium on doing your own projects / building out a portfolio and less on formal education.
Hello Ken thanks for your advices. What do you think about reading books instead of those options ? I'm finishing the electronics engineering and I would like to work as a data scientist. I've already been reading a couple of books, but I don't know if it is going to be enough. Thanks!
Hey ken loved your video it was very informative this maybe a little unusal story but I have a degree in criminal justice and I would like to have an immediate career change and i was looking into data science/ data analysis which intersted me on how much you can do. I am currently taking on a certificate in data science to see if i am interested and i was wondering how can you create a stand out portfolio for employers with little to no experience in coding or computer science? Also will learning data science help get foot in the door into a data analysis position working on programs like R or sql?
Hey Ken, regarding getting a Masters Degree, I am confused on which to pursue (MS Data Science, MS Stats and Data Science, MS Information Technology). I want to get into a Data Science career path but I am worried that Data Science would be a fad and I would be struggling to land jobs upon graduation. Most of the job descriptions for a data scientist I encountered requires MS in Computer Science, Statistics, etc
I personally did my masters in CS because I wanted to have more options when I graduated. Still, regardless of the program you are coming from, most companies will be looking more at the courses you took and your project portfolio than what your degree says. I think all of those would be fine as long as you have a strong portfolio and network well.
Hey Ken, so I have a Master's in Data Analytics. Do you think Data camp is good for someone that needs brushing or wants to learn programs that I didn't learn in my program? For example, I didn't learn Power BI or R and my jobs requires alot of Power BI.
Thanks for watching! I got my initial experience from a data science internship. I eventually leveraged that into a full time role. My earliest internship was as a marketing analyst and my later ones were in analytics and eventually data science. I will do my best to make a video on the process I went through as well!
Hey thanks for the insightful video. I am a student of Computer Engineering, recently discovered my interest in data science. What would you suggest me? Should I go for a degree or learn by Google data analytics certificate? I have to do a mandatory internship so I was thinking about learning by certificate course and applying for internships for role of data analyst.
I think a data analyst internship is a really good idea! You could do the data analytics certificate, learn for free on kaggle, or try a different program like 365 data science. I think all of those are great options honestly. It is all about which learning platform resonates most with you. I would also recommend trying to get involved with a personal project as quickly as you can!
Hi. Thanks for this very informative video. Got a question. Would appreciate if you can help me out. I'm doing petroleum engineering currently. Junior year. I'm starting to get interested in data analysis and data visualization to be more specific. What would you recommend? I haven't learnt any programming languages yet but I'm decent with excel.
I recommend taking the next step and learning a bit more on kaggle. They have micro courses and bunch of data where you can do projects (all free). This is the best place to see if you like it enough to transition careers
@@KenJee_ds alright. Thanks a lot for this response. I really appreciate that you take out time to reply to as many comment as possible. Makes your content more valuable this way. Have a great day 🤙🤙
Hi Ken! Thank you for the content, I'm letteraly watching every video one by one for a week now 😂. I'm thanking about starting at data science in a year or so and I think a data science certificate (looking at IBMs) is a good option since I don't have any background at all. Is it a good option to go through this certificate as a part time activity for maybe a year and then trying a job field transition later? Thank you again. Best
Hi Ken, recently started watching your videos. Very interesting and helpful content. I am a 31 year old who is going for his Masters Degree in Design to the US in a couple of months. I have an engineering background but I have mostly worked in the social sector and storytelling space. I am interested in Data Science because of the strong career possibilities but also the problem solving abilities. I also believe that as someone in the art and design space with command over Data Science principles I will be able to do more. Out of all these what would you suggest I undertake? My Masters program is 2 years long and while it will be rigorous I think I will be able to make time to study Data Science.
I love the intersection of design and data science! I think that there will be some incredible experience design roles in the future at the intersection of data science and ux.
Hey Ken, really informative video, thanks. I'm a 29 year old accountant looking to make the move into data science/artificial intelligence. I'm looking at doing a part time masters over 2 years in Computer science & Artificial intelligence from a good university in England. My original degree was in economics so I have a bit of a statistical/mathematical background. If I build a portfolio of projects over the 2 years what do you think my chances will be of landing a decent data science job once I graduate? Thanks.
I think it would be a pretty reasonable transition for you. I would expect that a data science role is in reach (more difficult), but you should definitely be able to land an analyst position in the worst case scenario (that could turn into ds in 1-2 yrs). If you're comfortable with that outcome, I think it is worth pursuing!
Hi Ken, I am senior level employee working in finance, but I started gain interest in developing my data skills however being my age, committingg to a master degree will be something I have to think twice, however I have been learning on my own. I found some good and useful course online, and it is really cheap option for me to get started, but I want to get deeper and broader about it, getting a job being a data scientist is not my goal here, my goal is to being an BI Consultant like I am pretty good with Power BI and Tableau, but also possible other tools. what you say mate?
I think that is awesome. I think you could transition into a BI consultant role if you build out a bit more of a portfolio. I would recommend doing some "free work" for companies or local businesses so that you have experience for making that transition.
I am a certified public accountant and looking to get into an analyst type role. Do you think I would be able to do this with the background that I have? :( thanks so much
Hello Ken, Thanks for your sound advice. I have a quick question. I am a snr manager with over 18 years of experience. Does it make sense for me to take up a Masters degree in AI and ML at this stage? I am 43 year old with an operations management background in BPO, KPO, call centers etc. I have no programming language background although my maths was pretty strong back then. What do you advise? Thanks in advance.
I think it really depends on what you want your end goal to be. If it is to work in data science, then it may not be a bad idea. On the other hand, a bootcamp could be a good fit considering you already have quite a bit of experience. A third option would be for you to self teach and try to target a product owner or project management role related to data science. It isn't unheard of for someone to move from one of those roles into the more pure forms of analysis. I hope this helps Sachin!
Hi Ken ! I ' ve graduated from Communication and Media Studies. I have some basic practical skills in programming with Python. In your opinion what should I choose? A Bootcamp or a master?
Hey! Thanks for watching the video. I think it really depends on your goal and the timeline you're looking for. I think if you do some self study, you could likely land an analyst position and work your way up without the need for either of these. If you are pretty comfortable financially, a boot camp or masters could make sense though. I hope this helps!
I have a MSc. Mathematics/Statistics. Been trying to land a job in the stats field since I graduated but no luck. Thinking of taking data science to become a data analyst. Planned to take a Master's degree in Data Science but have to forego because there's no scholarship available due to this horrid pandemic. Just started a free data science online course on Kaggle. My question is, am I on the right path? Is it really possible for me to become a data analyst through this path? Hope you can share your insight. I'm so desperate tbh because I just lost my job recently due to this horrible pandemic ㅠㅠ
I absolutely think you are on the right path! You already have a MS in a related discipline, so there is no need to go for another one. Perhaps you would actually be a good candidate for one of the bootcamps. There are a few that are "free" to start, they just take some percent of your starting salary for the first year after you get a job. They also help with the networking etc, which I think would benefit your case. I hope this helps!
@@KenJee_ds Thanks a lot Ken for your kind reply. Will definitely look it up right now. I'm not that good at programming actually but still trying my best to master Python. I keep questioning about my decision just because of coding ability ㅠㅠ
Thank you for sharing your insights. I am a working professional in the chemical industry (14 years experience) with an applied/pure mathematics degree and am at this point of decision making. I have been accepted into my local accredited university for their Masters of Data Science program. I have also been accepted into GaTech’s Data Science boot camp, and am currently doing the Google Certification to get some bearings. I really don’t want to wait the 3.5 years it would take to get my masters to enter into this field and would rather start into an entry job at least before I work on my degree, but I also don’t have much of the specific data experience from my current position to get me there. Do you believe a math degree along with the bootcamp would carry weight? do you know any colleagues that took a similar route? I feel that my math background allows me to be more than capable for the job, but convincing an employer of this without certs or anything else under my belt is a challenge. I am also open to obtaining my Masters while working in data, I’m all about continuing education. Any opinions and advisement are appreciated.
I think you have a couple good options ahead of you. Does the program you are a part of allow you to work full time while doing it? Many people I know started their masters programs and landed a job during the first year. Being enrolled in a masters program provides much of the signaling you need to land the job even without having taken many courses towards your degree. I personally don't think you would need additional math degree along with your bootcamp. I would instead focus that time towards developing your project portfolio. Honestly, a strong portfolio goes further than any certificate would (and likely further than another math degree would as well). I hope this helps!
@@KenJee_ds thanks for the reply; the masters I’m looking at would now be a CS masters with a machine learning concentration (GaTech online), not another math degree (I hold a math undergrad). I have already been accepted into a Data Science masters at a local university, but at 7 times the cost of the GaTech online machine learning masters. The masters will not start until next spring, so if I did do the bootcamp (also through GaTech, runs from September to March) I will finish up just in time to start into the masters. I’m still on the fence about the boot camp though, $10k is $10k, and the question in my mind is will the boot camp along with my math undergrad and commitment to continue education land me at least an entry role, or should I spend that time self learning and building a portfolio in lieu of the bootcamp and still have a good chance of breaking into the field…
Hi Ken, I was graduated with a Finance bachelor's degree two years ago and I'm working at a bank right now. I want to move into a data analyst role, but I'm confused about how to get started. All the data science master degrees would require a mathematics or computer science undergraduate as a pre-requirement, so is it a certificate or bootcamp that would be more suitable for me? I'm studying online courses with 365 data now, but what would be my next step? Thank you so very much!!
Hi Cici - I really recommend building out a portfolio and getting started with some projects. I also think there are quite a few online masters degrees that have very few requirements (if you want to go that route). I do think it would be possible to land a role as an analyst with just a strong portfolio and the 365 data science certificates though!
@@KenJee_ds Thank you so much Ken! Would you recommend that to get a data science certificate from university would be a good option after I finish the 365 courses?
Why don't you apply to Northwestern's Masters in Data Science MSDS. If you have a Finance degree like I do, you'll be able to get in. Then they'll teach you Math for Data Science, and Statistics. All are part of the curriculum. It's also a great school.
I work as a finance report analyst with some sql queries with visuals in Power BI but its more of a accounting role and I am trying just to focus on data analysis. I have a Masters in public administration and did publish work and did go thru statistics class. I am not sure if I should do the Boot Camp or get a second Masters Degree.Boot Camp at my University is about 11 thousand dollars even though I have the money dont want to spend it something useless that will not provide the tools I need to get into the filed. I have seen countless videos and it seems like some ppl say that its a scam but I really want to get an insight .. would you hire me as analyst if I have a boot camp and some prior experience?
I think that doing your own projects would benefit your career the most. If you spent the same amount of time on projects as you would in a bootcamp, I would absolutely take you into consideration (This is also free)
Thank you Ken this helps a lot. I am a recent graduate engineer who is planning to change my career into data science. I just wondering if you can suggest how should I build a portfolio?
Thanks for watching everyone! Although not explicitly mentioned in the title, I highly recommend exploring the self taught route. There are plenty of great online resources out there for you to use.
(Free) My Recommendations: ua-cam.com/video/Ip50cXvpWY4/v-deo.html&ab_channel=KenJee
(Paid) 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
I am 45 and a retired teacher looking to start a career in Data Science. I really appreciate this work from you. This is the best advice I have received. Thank You.
That is awesome, thank you for the kind words! I would love to hear about how your journey progresses!
Same here. Teacher and trying to get into Data science. What have you been doing? Taking some free intro to python courses online.
@@michaelamoah8709 we are on the same page! Teacher here too!
Will be great to know which path did you take! And how that went :) Warm regards!!
Would love to know about your journey!
Master's in astrophysics here! I'm planning to complete two Coursera certificates in Deep Learning (by Andrew Ng) and Data Science (IBM). I have also taken courses in databases and data mining as part of my master's. Hopefully I can get some job responses soon.
I think that is a really good path. I think many companies would be interested in talking with you based on your background. I would make sure to complement the courses with projects though!
I am also considering to get an IBM data science certificate. Has it helped you to find a job?
I come from a background in experimental psychology. I’ve worked a ton with statistics, software packages and both quantitative and qualitative data and I’ve finished the MA degree involving a thesis. I currently work in the clinical side of psych and want to get back into something involving data, stats, marketing and ai. I have experience with blogging, web design and SEO. I’m considering the route of self-study. I want to start working on some projects and continue working at my full time job and see where it may take me.
I think that is a really good idea! I almost always recommend the self study and project route, especially if you have some background with stats / coding
Will you consider making a video about putting together a project portfolio website? It would be really helpful!
Thanks for watching Victor! I've actually made two on this topic in this playlist: ua-cam.com/play/PL2zq7klxX5AQ3Dkl7113VO9t1rm3e4FLA.html . I hope they help!
@@KenJee_ds Thanks Ken!
I'll be going to General Assembly for Data Science in July. I'm currently working on my math and Python skills as I don't have a professional Analytics background (coming from Sales). I'm really grateful for your insights as to how to make something out of my own circumstance!
Good luck in the program! I would love to hear how it goes for you!
insigh01 I am taking the same course in July as well and know the professor personally. He's a great guy and he recommended I do some of the pre work to gain some familiarity with Python.
For a field that is growing, you provide awesome content for people to navigate through it. Your help is much appreciated.
My question is in regards how to get into data science.
1) Data Science Bootcamp (which includes programming requirements) > Use that knowledge to work on projects (freelancing, build portfolio)
2) Start with a full-stack development / software engineering bootcamp, get experience there, and then slowly transition to data science?
Coming from a civil engineering background with little to no coding experience, what sounds better?
I actually hand't thought of option 2, but I like it quite a bit. I think that dev bootcamps are more organized at this point, and the bar for getting a development job is slightly lower than data science. I think that route could be very interesting!
Considering that I am now 45 and looking to begin a masters in data science program this fall since my current masters in exercise science has not yielded any sort of suitable or gainful employment, I'd be more than content to find an entry level data analyst role upon graduation from a data science program. Although I have done a handful of projects and have started building a portfolio, I'm hopeful that my chances of getting an internship, landing an entry level data analyst role, or associate data analyst role while going through this master's will be increased. It's as if I feel starting this masters program will help give me that extra edge to at least obtain the most entry level position in data analysis versus just my current degree and portfolio. I say this because it seems most job listings require or prefer some kind of quantitative degree, and exercise science does not seem to make the cut. There seems to be too much of a question as to landing an entry level data analyst job even with a much more robust portfolio which I'm sure I could have by year's end.
I think for your use case, a masters makes a lot of sense!
Wow! Great in depth video. Thanks for explaining all of the pros and cons and what fits different personalities and backgrounds.
Thanks for watching! Glad you found it informational :)
I have 7 years experience as a business analyst and a BS in Math. In my current role I have been learning and applying data science, so I think I am ready to find a good data science job already, in my opinion. I haven't started applying but I plan to very soon.
Awesome!
I finished undergrad Film and TV production, now I'm doing 365 Data Science and I applied for a Master in Data Science. I will know in 4 weeks.
Would love to hear how it goes! Maybe you should start a youtube channel on data science haha. I need to really improve the video aspect of my videos I think
Good afternoon Michal. Please I intend to subscribe to the 365 data science monthly payment plan. I wanted to know if it'll be worth it. So far, has it been good?
simple answer: Bootcamp. I speak from experience. I have only 6 credits left to finish my MS Computer Science degree and I can tell you right from the bat.......I learn more about tools that I will actually use on the job market from youtube not from my masters classes. Bootcamp is more hands on. You learn by working on projects not reading some text book and doing a quiz (The answers to the quizzes are on quizlet anyways)
Thanks for the personal experience thoughts. I had a very different experience with my masters in CS experience. I think that it varies greatly by the program!
@@KenJee_ds true.
Thank you so much, Ken. Your video is actually helpful!
Glad to hear it was helpful Jimmy! Thanks for watching!
Aye man I’m thinking about applying for a Washington university data analytics boot camp for under a little under 13k for 24 weeks. I have no experience and but they go over most things in the field. Mentioned about helping with resumes and landing my first job. Also said that they would aid me with the degree if I choose to go further.
I'm not familiar with that program, but it sounds pretty interesting! I would make sure you talk with some of the graduates to see if they got their moneys worth!
@@KenJee_ds I looked on a website there was 1 bad review about it not being worth it and the rest are good life changing experiences could be sketch but idk . Do you have any advice if I should go start off that route or take different course. please let me know in your opinion how I should go about starting up. would this bootcamp be the best decision. Data Analyst
Data Engineer Database Administrator (Entry Level)
Data Scientist (Entry Level) Big Data Engineer (Entry Level)
Data Journalist Business Intelligence Analyst
Business Analyst Research Analyst
SQL Developer Software Engineer (Entry Level)
Data Architect
Computational Scientist.
these are the things they say ill be qualified for
@@KenJee_ds like the new google certifications I might try that out
Hey Ken, thanks for making this video. I’ll be starting a Masters in mental health counseling this coming fall, but I did always have an affinity towards the data-heavy classes I had in undergrad. I definitely feel drawn to counseling, but perhaps a certificate wouldn’t be a bad idea for exploratory reasons, as you’d said:) Much appreciated!
Go for it! good luck in your degree!
OMG there is so much you can do with a psychology background and strong data skills!! My friend Lisa-Christina Winters made a whole business in that space. If I were you I'd Google her and see what's sort of opportunities you can find at that awesome intersection of talents :)
Thanks for the video! I’m looking to get into Data science after my bachelors degree in sports management not helping me( Thanks pandemic). So I’m currently trying to work on some personal projects!
Awesome!
Too much resources on the internet makes me so distracted. I personally like learning by doing and I would enroll to a course that gives me this challenges. Thanks for the vid
I agree that there are too many resources! My best advice is to choose something and stick with it. Most of the resources are very good!
So basically is it modest to say that the silver bullet to get into a good role is:
➡️to have had Software Engineer/Development education + experience
Else
➡️to have been submerged in roles in your current situation (sometimes very unlikely) analyst to scientist
➡️if none of the above, then to get either of the three things (recommended but not required) but without a work portfolio (professional or otherwise) it is intensively hard
I think you could also add academic research / math background to that mix!
@@KenJee_ds gotcha! At the moment, due to work/life balance I am at the certificate that has a capstone project. But I will see if it is for me. Very convinced it is so far. After that I’ll have to see how to improve that portfolio.
Great stuff dude
Hey Ken, your down-to-basics and straightforward approach to the explaining data science and learning it are very confidence-inspiring to someone trying to get into the field. I have a background somewhat in statistics in that I graduated with an undergrad in psychology but with a focus on statistics. I did 3 quantitative and 1 qualitative study in undergrad and I think I have some chance of using that to my advantage. I'm working currently to pay the bills and keep needs like health insurance available and I'm currently starting the self-study method. I've binged through a few videos and I'm going to try "ultralearning" data science, but I'm really not sure where to go from there. I'm going to try to build a good portfolio but I feel like if I just try to say" I have a degree in psych buut it's with a focus on psych stats" and then get just a cert or a bootcamp then it won't be worth it for anybody looking to hire. Getting a masters is always on the table but like you said that's a big time and money commitment for no guarantee of a career out of the gate. In the end I think the connections of a bootcamp are more beneficial for me but I also don't want to shell out cash to find out that method would not make me look as good on a resume compared to a degree program. Do you think a psych degree is a handicap or something I can still leverage?
Thanks for watching! I don't think a psych degree is a handicap. Honestly, I look at a person's github profile before I look at where they went to school or what they studied. I think doing good projects and sharing them can take you way further than you think. If I were you, I would start on kaggle, if you do well in some competitions, that also serves as social proof. I hope this helps!
Hello! How are you doing?
Hey Ken. Nice video. I am an experienced economist. I have a a BA and MA in economics and finance. I have worked for 8 years in economics and econometrics. This basically entails extensive data analysis and statistics around economic issues, so I am very good with statistics, regressions, inference, and causality (a big thing in econometrics). However, in economics we mostly use Stata as the go to software. I am really interested in shifting to data science as I have a huge passion for data analysis. I need to learn the languages commonly used in data science (R, python…) but I am strong on the statistical background. Any insights on what’s best and where to start keeping in mind that I am currently a full-time economist. So the transition has to be gradual or more like a side-hustle in the beginning. Thanks
You could learn Python first, maybe.. And the rest of them will be easier (R, SQL, etc).
Thank you. Very helpful advice
Thanks for watching!
Currently a CS student looking at the data science field. I'm in my school's co-op program, and also planning on doing its accelerated Master in machine learning as well. I wonder if you have any take on getting a Master at a small and not as well known college? Right now, I'm finishing my sophomore year and my first internship, but I'm finding it increasingly hard to even get a response from data science-related roles. I'm worried that this will be a snapshot of what's to come even when I graduate, do you think a Master will help with getting past the initial resume screening, or is it not worth it if it's not from a more recognized school? Also, really appreciate the fact you are still taking time to answer questions on old videos!
For advanced technical degrees, I don't think the school matters too much during the interview process. However, coming from a larger school may mean that you have more connections to actually get to the interview. Larger schools can have a greater network which would allow you access to more positions. I think that if you get some good projects and another internship or two under your belt, you will be in a great position to land a ds role regardless of if you have a masters or not (and where it is from hypothetically). I hope this helps!
Thanks. Really appreciate the breakdown. Looking into exploring into DS, and this has been the best breakdown of the pro and cons if each option. Thanks Ken.
Glad to hear the video was helpful! Thank you for watching!
this is a really good video for us, thank you
Thanks for watching!
Hi Ken. I'm looking to transition into data science over the course of the next year or two if possible. I have around 8 years experience in digital media, so there is somewhat of a narrative of "data analysis" that I can build on - though that analysis was limited to digital media analytics platforms. The job has given me an edge in terms of communication, presentation-building, etc., but that's where my advantages end. My undergrad is in a non-quantitative major (sport management). I have zero calculus at this time. I spent the first 3 years of my career in sales. And I cannot afford to take an internship at any point throughout the remainder of my career.
I'm currently taking the Data Analysis nanodegree program with Udacity, and getting a really good handle on the analytics toolkit. The programming is coming easier than I expected. From there I was thinking of self-studying the math, and doing the Udacity Data Science nanodegree to start to get the DS foundation. I think I have a reasonable shot of moving into the analytics department at my current agency within the next year. I can start to build a DS portfolio around that time as well.
With that context - do you suggest I go masters, boot camp, certificate, or continued self-study after that?
If you can transition within your company, I don't see a reason to do anything beyond maybe some certificates (especially if you are feeling pretty good with the self learning). On the other hand, if your company is willing to fund learning, then a masters may be worth it!
I'm in Ireland so the set up is a little different but my original degree was in social science and now I'm doing a higher diploma in Data Science. This is a post grad qualification that is an add on to your degree but it's not quite a masters either. Personally I'm coinciding that with different online courses or certificates. The diploma is two years part time and it is designed for people with no data science background so there is a lot to cram in. Naturally there will be area's that i'm weaker in or where the diploma does not go into detail as I would like so I use certificates to fill those gaps. Mid term term breaks, winter breaks and soon summer breaks are a good time to do these when lectures are no longer running and you've finished up exams. In saying that university education in Ireland is a lot cheaper. My first degree was free and this higher diploma is around 4000 euro in total so I don't mind spending an extra little bit to do some courses in my own time.
I have heard from many sources that the cost of masters programs or masters like programs is way cheaper outside of the US. I think that this could be a good option. I also think that if you did that program and projects or supplemented it with online coursework you would be in a great position. I hope this helps!
@@KenJee_ds That does help. I only discovered your channel recently and from the little I've watched it's been invaluable. I'm in my last two weeks of first year so doing exams and finishing assignments now but when I finish up I plan to watch your videos on data science projects. I have still have a year to go have covered a lot of data cleaning, regression and random forests so I think I should have enough to do some projects over the summer. Again you videos are great. You definitely deserve more views and subscribers
@@StarMonkies Thank you for the kind words! Good luck finishing up your first year!
You are super awesome for making this video!
I have a history degree (feel free to laugh at me lol), and no documented math backround except that my job in real estate required making and reviewing budgets. I'm really hoping to land an analyst role after a bootcamp.... praying I won't need a bachelors
No laughing here! I think an analyst role is a reasonable goal! Just make sure to do projects and network!
@@KenJee_ds For sure! Thanks again for putting this info out there!
Hey Ken, I’m. Recent graduate with a Biology and Business (Finance and Econ) undergraduate degree and some familiarity with data analysis (Excel, Stata, SQL (a little)). I have a job in management consulting starting in January and am looking to strengthen my data skills. Which of these (If any) would be best for me?
Nice! I came from a management consulting background as well. A lot of consulting firms will pay for you to do a certificate or an online program. I would see what options you have through them for continued education.
Great advice as always!
Thanks for watching James as always!
Great video! Could you make a video reviewing couple of online certificates or courses, and some bootcamps? I think that’d really help out someone like me who’s just starting out and trying to make the best decision possible. Thanks you.
Thanks for watching! Unfortunately, I don't feel super comfortable reviewing programs that I have not personally taken. I would refer to a few of the other youtubers like Tina Huang, Alex the Analyst, and Luke Barousse for those!
@@KenJee_ds thanks for replying back.
That’s fair. I’ll definitely take time to review their videos, and see what they’ve to say. Thanks
I’m working on my PhD and taking a 365Data Science course. My head is about to explode!
It is a lot to take in, but I believe in you!
I'm in the same situation right now. I'm doing a PhD in physics and decided a couple of weeks ago to work with data science instead of follow the academic path. So all of my PhD free time I spend on studying data science.
Your review of 365ds course please, I'm thinking to get one. So far, I get a good impression
@@idea_yahya If you do end up going for the 365 DS course, here is a discount for 47% off the annual fee: 365datascience.pxf.io/Z7gXQ . I hope it helps you on your learning journey!
Hey you, Ken! Really nice channel you have here. You've got one more subscriber. =)
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Here in Brazil we have this kind of discussion every day. And for the ones who is not from the field, but really passionate about data and the math behind it - and of course have enough time to do so -, won't you recommend a second bachelor related to the field? For example: Statistics, Computer Science, Mathmatics, and so on?
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Briefly, I think for the tools, softwares, programming languages there are no better place to learn them than in online courses. Thus, the bachelor would give us the theory we need and in parallel sharp our skills with online courses.
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I'm curious to know your opinion about it. Cheers from Brazil, buddy!
Hi Humberto - Thanks for watching the video and subscribing to the channel! My thought is that if you are willing to go back to school for a second bachelors, why not just do a masters? It should take around the same amount of time, and you get an advanced degree (a requirement for many positions). Most of these masters are targeted for people that are new to data science, so they teach you some of the fundamentals as well.
I don't think there is anything wrong with going back for a second bachelors though (especially if it is free or very cheap).
Good evening Sir Ken Jee. I must say that you have been most helpful to many here and I deeply appreciate it. I have a BS and MS in Pharmacology and Toxicology(biomedical sciences) and I hope to transition into the data science field. With zero coding experience and a fair knowledge of math, how do you suggest I begin Sir? Also, what online courses (with links) would you suggest I start with? Is 365 data science site good enough? Kaggle seems to jump right into machine learning and thus I'm quite wary. So pleaser Sir, could you kindly shed some light? Thanks
I think the kaggle micro courses are really good, even for beginners. I recommend watching this video for other free resources out there ua-cam.com/video/Ip50cXvpWY4/v-deo.html. 365 data science is also great for beginners. Thanks for watching and supporting my channel!
Very intuitive. Thanks. I've a Master degree in Physics (specialization: particle physics). I'm thinking of diving into data science. So, apart from what you have said, would you be able to guide me in this regard specifically? What would be the best case scenario in my case? I have a strong background of Mathematics and an intermediate level of programming.
Thanks for watching! I think with a masters in physics you shouldn't have too much of a problem getting into data science. Physics is a very well respected background in the industry. I would recommend that you build out a portfolio of 4+ data science projects and start networking to find opportunities. Your level of math and programming are great, you just have to show that you can apply them via projects. I hope this helps!
Concise and informative sharing!!! Thanks
Thanks for watching Brenda!!
Thanks Ken! I’m 53 and am currently a data analyst with mostly DB skills. We merged into a hospital system and I need updated analytics skills. I’ll have a job. Just need the best skills. What do you recommend in my case?
Hi Tracy! I would try to get as much info on what the rest of the team is comfortable using. Most likely it will be python or R. I think getting fairly comfortable with those and whatever other tools they will be using is the best course of action. I hope this helps!
Data science bootcamp advantage = you are working with an actual data science instead of an academic.
This is true! Although I've had some decent adjunct professors that were practitioners
I just completed an undergraduate degree in biomedical science and planning to do a Masters in data science and I was wondering how much of a transition would it be if I haven’t done any coding or maths?
I think most of the masters in data science programs start you off at a pretty introductory level. If I were you, I would brush up on some coding and math concepts beforehand though.I generally recommend the free kaggle micro courses. I hope this helps!
@@KenJee_ds I'm going to do a masters in Data Science In Engineering and I specifically had to do premaster with Calculus, Discrete Math, Linear Algebra and Statistics and Probability before I could even get accepted to the master. The master itself contains advanced statistics. Bear in mind that it is a masters at a Technical University and the master is very similar to the Computer Science And Engineering one.
kenny I'm in the exact same boat with biomed background except i wanted to do operations research, I already submitted one application for a pre-master and today is the deadline for submitting another application for a full master at a different uni. from what i know the programming requirements will not be as high as the statistics and calculus but most importantly the proofs! I dont know if i should spend the rest of the day doing the second application when there's not much chance i'll get in to doing a full master off the bat. i remember the application asking me what ideas i have for the masters thesis and i was like bro i dont even know the question never mind the answer lol!
@@DavidsonLoops I'm starting the Master's in data science in a weeks time and the requirements was to have a 2:2 bachelor's degree in a numerate, scientific or computer-based subject with A-level equivalent maths. I'm going to LJMU (a UK university) so I'm not sure what unis outside the UK are like
@@kenwong237 im from the UK too, I didnt get in to either uni because of my grades. I'm so happy to hear that you got in. Shame you wont be able to enjoy the uni lifestyle so much because of covid. at least there'll be no distractions to stop you putting your head down.
Thank you very much, I am not sure whether you have posted video about data analyst or not, but please would you post video which explain difference between data analyst and data scientist.
yep! Check out this video: ua-cam.com/video/BZFfNwj7JhE/v-deo.html
I'd like to do a bootcamp or a certificate, but I can't pay those out of pocket so I'm just sticking with Masters cause job kinda got screwed cause of covid lockdown 🙃
I would definitely try to get as much work experience as you can during the masters route. There are some good virtual internships going on right now and some good research opportunities. These will be the best things for job hunting going forward. I hope this helps!
@@KenJee_ds I'm lucky in that I'm supposed to intern in September for the company I've been beta testing an app for for 2.5 years now, but I'd still like to diversify 😅I hadn't considered research opportunities before so it definitely helps! Thank you! 😄
Hey Ken! I have done my UG in computer science years ago, currently an eSports coach starting my master's degree in eSports this fall, I want to be able to track player performance using game data, also analysing game data which will help me give a deeper understanding of of my team's performance. So far I have been doing this in a very pain staking method of gathering a few key points of data and the comparing them on paper. I am confused as to if I should start certificate program's or just start learning a software such as SQL or python.
I'd really appreciate to hear your suggestion.
That is an awesome career path! I would probably have to learn more about how the game data is stored and collected. I would generally recommend learning some python to be able to work with the data though. Feel free to reach out to me via email if you would like (in my about section). I am sure that I could connect you with quite a few people who would be interested in helping you to better understand that data.
Hi Ken. Thank you for posting this. I am looking to transition into the Data Science world. I am strongly considering going to a bootcamp. I am curious to know what your thoughts are:
I have a BA in Psychology, have TAed statistics courses. But I have been out of the field for a bit. I am hoping that a bootcamp will help me to quickly learn the skills that will eventually lead me to a job. I am nervous that employers won't take me seriously with only a BA.
I think it really depends on the types of roles you are targeting. If you have the funds to cover the bootcamp and are willing to take an analyst role, I think that is a reasonable approach to take. Thanks for watching!
I work in the government sector, ministry of finance of my country and i like doing forecasts on cash incomes and expenses. I want to set myself apart from my colleagues who all pursue MPA. Would it be a good choice to pursue a Data Science Masters? I got a Bachelor in Econ. by the way with major in macro econ but i would like the flexibility to also work freely in the private sector.
I think it could be worthwhile if education in your country isn't overly expensive like in the US
Hey Ken. I really appreciate your videos. I've been studying Data Science, Statistics and coding, and I feel a little lost about how to build a portfolio. Can you suggest me or give me some hints of how to do that?
Thanks for watching! A portfolio is made up of projects, so I recommend starting there. I would do at least one project on regression, one on classification, and one on clustering. You should organize all of these on github or kaggle if possible. I recommend this playlist for more info on projects and resume related stuff: ua-cam.com/video/DM1eE_Coh6g/v-deo.html
Thanks Ken - i recently subscribed and appreciate the informative videos. Some background - I have a background in Math (BS) & Chem Engineering (BS) and have been working in a data engineer/analyst role for the past 5 years at a major automotive company. Although I have a strong quant background, I feel like I need to hone my coding skill set to get to the next level in my work (currently familiar with some R, matlab, tableau, PowerBi). I am considering a online MS analytics from Georgia Tech for its curriculum, reputation, & cost (
Hi Jonathan - I have actually heard pretty good things about that program. I think that seems like a very reasonable path to take! Would your company help subsidize the cost? If so, it seems like a no brainier to me
Ken Jee thanks Ken! My company is willing to do so, so the cost to me will really just be the time and effort. I appreciate your advice!
What advice would give to for someone interested in data science but is currently pursuing a cs degree?
I don't think it is hard to transition into data science from CS (My masters is in CS). I recommend doing as many data science projects as you can to show that you have a grasp of the statistics concepts!
Hi Ken, I have one question for you.
Is it possible, and how much likely am I gonna get a data science job through LinkedIn, Glassdoor, Indeed, etc from a different location, working from a different place on the internet, with a data science certificate (like from Coursera, DataCamp, 365), and having good experiences doing different kind of projects?
Ken, thank you for the information. I am leaning towards a masters course. Further to your discussion, what are your thoughts on getting certified via MS, or AWS, compared to a master degree. To put it in context, I have a accounting/ finance research background.
I think the certifications are really good to have, but may not be applicable to quite a few jobs. Some companies use MS Azure instead of Aws so you would limit yourself a bit there. I hope this helps!
@@KenJee_ds thank you so much for the clarification 👍
Hi Ken, I think you're the best guy I can ask this question. I have one year left in the Master of "Economic Analysis & Modelling" in Rabat, Morocco. I am familiar with Excel, R, and statistical packages like EViews & SPSS, but I was rejected from many Data Analyst internships in the US. So for now I started an internship in Morocco, where I basically make a questionnaire for a certain sampe, collect data, and analyse results. I have been also learning Python and Tableau because they were mentioned in the requirements of most Data analyst internships. Do you think I can land an internship next spring in the US with my anticipated level. Also how was the evolution of Data Analyst jobs and internships impacted by Covid 19. Thanks a bunch & God Bless u.
I think it would be possible to land an internship in the US, but will likely be very difficult. I think there is a very large bias for taking interns from schools in the US.
For the job outlook, I think that the total market for all jobs has shrunk. However, if you clearly differentiate yourself through networking and projects, you will likely still have opportunities.
Lol. which one for someone in there 40's with no work experience, only an AS degree. But who has been programming since they where a child, and never been payed for it.. Who also can and has already built tensorflow, keras, pytorch and from-scratch models?
It's so annoying to me when videos like this assume everyone watching must have a Bachelors degree already.
Sorry about the assumption here! I think a bootcamp could make good sense here. It would let you showcase your projects even more. They also help you with the networking.
@@KenJee_ds Thanks for understanding Ken, I am enjoying your videos.
As an undergraduate data science major, I've worried about not being able to land a data science position immediately after graduation. A lot of companies still seem to require a masters degree or at least 2-5+ yrs of experience for data science roles. I wanna carefully anticipate that these requirements would change within a couple of years to where undergraduate students are welcomed to apply, as I believe data science field is growing rapidly!
Thanks for watching! I think that because the undergrad data science major is so new, many employers don't know what to expect from it. I think that longer term this type of thing will pay dividends though. You may have to compromise with an analyst role out of school though (as we discussed)
@@KenJee_ds Yeah! I've been applying for data analyst & data analytics roles as you advised. Do you believe that companies would let me apply my data science knowledge with an analyst role? Is this something worth asking when interviewing?
@@importdata95 I think that they absolutely would! You should definitely be asking about opportunities for growth in the role during the interview process.
Hi Ken Jee,
Thank you for your amazing videos. Im transitioning from a business consultant role and am planning on doing a bootcamp followed by a Masters immediately to finish next year. Do you think this would tick enough boxes to really digest as much knowledge in the most efficient way. The money isnt a big issue - im in Europe and its somewhat cheaper than N America
I think the masters would be sufficient. Bootcamp would likely be overkill.
Hi Ken! I am not sure if you reply to comments on older videos but I just have a question that would help me a lot for my next step. I am a recent graduate from UCSB with math bachelor's degree. I dont have much data science experience as I only had internship in finance field. I was debating either bootcamp or master's to get my foot into the data field job or internship. Which one would you recommend? (Love your content btw!)
Thanks for the kind words! What is your current situation? The easiest way in would be to build a fairly strong portfolio and try to land a data analyst job. That should be accessible with your internship in finance. Otherwise I think a masters could be a practical step. That would allow you to do research or get another relevant internship. Most companies can be a bit wary of students who graduate and do a bootcamp straight out of the gate, the generally value experience over continued education
@@KenJee_ds Thanks for the reply Ken! I am currently working part time as Data Entry Clerk and was about to do Learningfuze data science bootcamp since I felt like it would help me get a data analyst job. I will definitely think twice about bootcamp since a lot of companies are cautious about hiring bootcamp right after graduation. Can I ask you the why they would be wary though? :)
Please share more about personal projects. I have started one but I am not really sure how it should look like at the end and how I should promote it.
Will be doing this much more in the next few months!
Really nice video Ken. I got my Ph.D. in chemical engineering and recently I'm considering switching my career into the data science field. I have already finished several courses (mostly from Coursera) on ML, SQL, NLP, CV, etc. My current research job only involves simple regression tasks (mostly doable with Scikit-learn, rarely using TensorFlow) with small datasets. I am considering a bootcamp to improve my portfolio, and I am wondering if you can recommend a few good ones (not sure if it is ok for you to say the program names publicly).
It sounds like you're well on your way Anyang! Unfortunately, I'm don't know enough about the individual programs to feel comfortable making a recommendation. My best advice is to look at the success rates of the programs, and try to track down some of the past students with similar backgrounds to you on linkedin!
I have done Software engineering. Should I get Master degree in Data Science now to become a Data Scientist? or self learning along with various certificates and bootcamp and other online material is enough.
In my engineering, I have learned almost mathematics you have mentioned one of your video.
Thanks for watching! I think that self learning and doing plenty of projects for your github should be sufficient.
@@KenJee_ds Thanks for replying. You and your content always helps us...
And besides mathematics most of subject have covered in SE that is essential for DS..
Dear Ken, I have done my UG in Biology Science and currently studying in Bioinformatics for masters degree. I have totally no experience in coding before master but now I have some experience in Python, SQL, R, and machine learning(but very basic). My summer internship got canceled due to the pandemic and I'm worried about my lack of experience in real-work job when I graduate this winter. Bioinformatics maybe a bit different and I'd really appreciate to hear your suggestion.
Hi Jerry - I recommend taking a look at the data professor's channel. He is a data scientist in bioinformatics and he has some awesome advice there. He also has a series about virtual internships. I think those are worth looking into since your internship has been cancelled. I hope this helps!
@@KenJee_ds Thank you!
Thanx for the help bro 😀
Thanks for watching!
Very helpful.. I have a PhD in systems science and industrial engineering and I'm familiar with all data science/coding topics. But I'm struggling with finding jobs I feel I need to strengthen my skills. What do you think?
Glad to hear the video was helpful! I think a bootcamp or a certificate program would make a lot of sense. The career resources (resume etc.) would be useful in your position. I also think the ones that are free with rev share when you get a job would likely be interested in you! I hope this helps!
Hello KJ, you said those that do Bootcamp might not get a DS job, how possible is this judging from the fact that there is a high shortage of Data Scientist??
I wouldn't exactly say there is a shortage of entry level applicants. There is a shortage of mid & senior level data scientists. The market is still very competitive at the early stages
@@KenJee_ds thanks alot boss
So certifications are not really helpful, what are the odds of landing a good job if i do few good projects to add to my resume? Are they promising?
I think they are better than doing a certification. Doing the projects and finding the correct networking channels will open a lot of doors!
I do wonder if a certificate would be good if you are already trained in an administrative capacity and they are interested in someone who can do front desk work and a little bit of data analysis. I work in the arts and have an arts degree but I want to branch out in an admin a bit.
I think that would be a good use case!
Hi Ken, great content. I am torn between certificates and bootcamp. I have PhD in Materials Science and masters in both Materials Science and Mechanical Engineering (2 masters). I was a very happy Data Analyst when COVID Crisis hit (the industry was aviation so yeah...). I also have some experience with six sigma, lean manufacturing and production as well.
What would you advise a person like me?
I was thinking about getting a bunch of certificates - those offered by deeplearning.ai on Coursera seem to be ok (as opposed to IBM Data Science course - this one sucks), also Coursera has several courses organized by Google, AWS, Mongo DB, etc that seem interesting, as they prove presence of some practical skills in real industry used tools.
What do you think is the better option - bootcamp or a collection of certificates? I leaning towards collection of certificates - this means I don't have to go through the basics of Python programming again, and in the price of the bootcamp (say 2500 usd) I can get some interesting collection of new skill certificates or deepen those I feel need deepening.
I think your approach makes the most sense! The one thing the bootcamps do offer is resume review & job fair type stuff. I think you can get creative and use the resources at your past academic institutions to supplement for these if you go the certificate route.
@@KenJee_ds Thank you for the answer! I don't believe in resume reviews & job fairs... but maybe in different parts of the world how useful these are differs. ;)
I'm doing economics and statistics degree and I'm already self taught software developer. I'm good at Python too.
My question is, if I teach myself data science,is the this econ stat degree going to help me in the job requirements or they just need data science cert?
And is it possible the math taught in my class ( Calculus1 &2,statistics and linear algebra) may cover for the maths required for data science or I need to learn more maths?
Thanks🙏
I don't think a data science certification is necessary. The most important thing is being able to show that you have the data science skills. I can't stress the importance of projects enough. If you have many good projects on your github or on kaggle, this is what will demonstrate your knowledge of the field to employers. The math taught in those classes should cover almost all of it!
I hope this helps!
Another question, if we have the funds to pay for a Data Science degree at say Maryville University on line but it is not a masters do you feel that is okay? The other option is for my son to finish his current B.A. in PHHP at the University of Florida and move forward to the Post Baccalaureate degree to get the additional credits needed. He would then move on to the B.A. in C.S. and finish that degree. One is longer and a Public University the other is Private, but I belive he can obtain what he needs in Maryville. This is the trade off and frankly he hates the PHHP bachelor's and has 3 more semesters and I would like him to just move on. One is more time, One is more money. Please help with advice.
Especially with the job market with the pandemic, I don't think it is a bad idea to stay in school longer, especially if he thinks he will be studying something he would enjoy more. I generally feel that a masters is more useful, but it really isn't needed if you build out a strong portfolio and network well. I hope this helps!
Hey Ken awesome video, there is so much (sometimes conflicting) information out there about data science, it's nice to see you break it down. I just got admitted to Tufts for a master in data science with thesis. My undergrad is in electrical engineering. Just wondering if you know anything about the Tufts programs or would know what to anticipate in terms of career outcomes after graduation?
Thanks for watching Andrew! Unfortunately, I don't know much about that specific program. I recommend finding some grads on linkedin and asking them about their experience!
@@KenJee_ds great idea, thanks ken
Hi Ken, I'm really enjoying your videos and aspire to be a data scientist in the environmental field. I'm currently working as a data analyst but my projects continually involve just data cleaning/formatting in python and vizualization in tableau. I would like to transition to a data science position where I am able to use machine learning. Do you have any advice for making the transition from a data analyst to a data scientist. I'm reading a textbook on statistical learning to get an understanding of theory but not sure where to go from there. Thank you for making these videos!
I think you're in a really good place for that transition. The first place I would look is in your current company. Are there opportunities for you to do some of your work using python or more advanced tools? Would your boss be open to letting you do training / projects with more of the data science skillset? The second place I would go to would be kaggle.com. There is plenty of data and good project examples. I really recommend doing more project focused stuff than diving into the theory too much. I hope this helps!
This was really very helpful Sir🙏✨ tysm
Excellent! Thanks for watching!
Hi Ken, thank you for the great video! As a four-year experience data/risk analyst, I think your suggestion makes a lot of sense. A master degree could be a great choice if I want to move to a data scientist type of role. I wonder if you could share your thought a little bit about a master in DS vs Stats. My concern is DS programs are relatively new, and maybe most hiring managers are suspicious about the program and expectation of candidates are not established yet, so they would rather choose candidates with stats background. And plus, fundamental knowledge of stat could potential help solving hard core tasks in career later. Could you please share your thought on this please? Thanks!
Thanks for watching! I think your concern is well founded. If I was going to look into a Masters in DS degree, I would make sure that I evaluated the course curriculum very carefully. You don't want something that is watered down. I think stats could be a great idea if you come from a very strong coding background or are able to pick up the coding portion very easily. I think that having strong coding skills as a data scientists is actually what can help you the most in your future career. So there is kinda a trade off, get potentially watered down math and coding from a masters in ds (not all programs but probably some) or get strong math and relatively little coding (self study) from a MS in stats. I hope this helps!
@@KenJee_ds Thank you so much for sharing! That's a very great comparison between MS in DS and MS in stats. So I guess there will be a trade-off anyway. I am coming from a information system background, so I have learnt C++, Java, Javascript, from academic program. But I wouldn't describe myself with strong coding skills since I mainly use SQL and a little bit of Python in my daily work. I think in this case, I may perfer an MS in stats or CS rather than DS.
Hey great video, very informative...I have a question for you. What would you say to someone looking to get a bachelor's in data science? I'm in my 30's with no degree, my local university (UCCS in Colorado springs) has a bachelors program in data science, and honestly I feel like it would a lot of sense for me to take that route. I, like you mentioned about yourself, need structure around the learning/schedule of it all for me to succeed. Knowing most positions in data science require(or greatly prefer) a masters/PhD, I think a bachelor's degree in the field would be a great place to start, right? I'd be curious to hear opinions/thoughts on this. Was bachelor's just not included in this comparison because it's not as commonly offered? Thanks :)
I think this could be a really good option if you don't currently have a bachelors degree!
Hello ken! New subscriber here.
My current situation is that i've graduated with a Honours in Biochemistry and last year i enrolled into another undergraduate degree in Computer Science because I figured I would switch my career in hopes of finding a job. After completing my 1.5 years, I've decided to take on a Data science course on udemy and has since created 3 personal data science projects. Do you think that's good enough and that I should apply for jobs or should I just finish my Comp sci undergrad.
Also loving the content you put out!
Thanks
Thanks for the sub! I don't see why you couldn't apply for jobs and also finish out your undergrad. If you get a job, great, if not you still get the degree there. I hope this helps!
Hi Ken! I'm new to your channel.. thanks for everything!
I have an economics background but no professional technical experience. Based on the video, it sounds like you'd recommend a masters degree over a bootcamp. I'm wondering your take on why a bootcamp may not be sufficient in getting a data science or analytics job? Not much of a portfolio here, but is that not something you can build out when doing a bootcamp?
Thanks for watching Kyle! I generally actually recommend not doing either and going the self study rout if you're motivated enough. I think that there are a lot of positions that ask for candidates to have masters degrees. If you want to open yourself to the most opportunities possible, having one can really help. Again, there are still a lot of cost considerations here. I think that you may learn even more in a bootcamp than you do in the first 6 months of a masters degree, but you still wouldn't have the degree that companies are using as a criteria. I personally think it is stupid that organizations recruit this way, but as it stands now it is a sad truth of the industry. I hope this helps!
hi ken, thank you for your all useful videos, honesty you should teach too, got a question for you, I'm 39 and taking my data science certification now and planning to get to data science bootcamp, would love to know what do you think? is that a good idea to take bootcamp right after my certification?
I think that could make sense depending on what your goals are! I would make sure you spend a lot of time doing projects though!
@@KenJee_ds thank you
Hi Ken, thanks for the video! I am a software developer and now learning Data Science with IBM's Coursera Professional Certificate and Practical Stats for Data Scientists' book from O'Reilly. What would you recommend to learn DS the fastest? I am ok with self teaching doing at the moment 1 course + 1 chapter of the book per week. Thanks in advance!
I think projects are by far the fastest way to learn the field. I personally recommend kaggle to start out with!
Hello. Great video! We do appreciate for this information. A quick question; what is your insight for Berkeley Extension Data Analytics booth camps?
Thanks for watching! I don't have personal familiarity with that program, so I don't think it would be fair to say.
Hello Ken!
I'm a new subscriber! I love your channel. I've been going through a few videos. I'm currently working in the social impact sector . I'd like to know more about how I can use data science to grow in my career. I have no background in Data Science but I do have some understanding of the basics of programming. I studied electrical engineering in my undergrad and have some experience with SQL through some previous jobs. My current role is more operational which I enjoy but I would like to explore this area. Could you share your thoughts on the intersection of these two fields?
Also would like to add, after watching through this particular video, I feel that a DS certificate + DS bootcamp would not be the best fit for me.
I'd like to explore the: volunteer work + self study option
As well as create a web infrastructure which showcases my ability to do projects like this for this sector
Hi Anjana - Thanks for subscribing and watching my videos! I think there are infinite ways that data science can be combined with the social impact space. A good example is the expansion of free data science resources for keeping track of the COVID-19 pandemic.
I think the broader social impact space is lagging behind other industries with data science growth. I think that this is a good thing for you. That means that there are plenty of opportunities to experiment and potentially do some good.
There is plenty of free data that is collected by local state governments (data.gov), so you can get started on projects without necessarily needing data for the companies that you work with.
I recommend tying your projects on specific causes that can help individual organizations. If you show them your work, they will likely want to collaborate or even offer you some sort of contract. I hope this helps!
Hi Ken, I majored in data analytics for my undergrad and have some work experience as a data analyst as well as a junior data scientist. I'd like to transition into the data science side of things and I was actually admitted into a masters program at the university where I completed my undergrad. The cost of tuition however is far too high for me to afford would a bootcamp be the next best choice because of my background?
Honestly, with your experience, I don't think either would be necessary. I would pursue an analyst job (where you get paid to learn skills), and try to transition into ds after a year or two.
Hey Ken will love if you could update this video for 2022. I am petroleum Engineer and in general I see the application of ML growing exponentially within the field. Not sure if you have anyone in your network that could advise on the transition. I personally been doing MOOC’s and undecided on doing the MSc while working.
I think everything still holds for the next few years! If anything, I think there is more of a premium on doing your own projects / building out a portfolio and less on formal education.
Hello Ken thanks for your advices. What do you think about reading books instead of those options ? I'm finishing the electronics engineering and I would like to work as a data scientist. I've already been reading a couple of books, but I don't know if it is going to be enough.
Thanks!
I think you're going to need to apply the knowledge to make a dent here. I would say books + projects could get you to the same place though!
Hey ken loved your video it was very informative this maybe a little unusal story but I have a degree in criminal justice and I would like to have an immediate career change and i was looking into data science/ data analysis which intersted me on how much you can do. I am currently taking on a certificate in data science to see if i am interested and i was wondering how can you create a stand out portfolio for employers with little to no experience in coding or computer science? Also will learning data science help get foot in the door into a data analysis position working on programs like R or sql?
I think an incredible portfolio can mitigate the need for going back to school. It really does have to be exceptional though!
Hey Ken, regarding getting a Masters Degree, I am confused on which to pursue (MS Data Science, MS Stats and Data Science, MS Information Technology). I want to get into a Data Science career path but I am worried that Data Science would be a fad and I would be struggling to land jobs upon graduation. Most of the job descriptions for a data scientist I encountered requires MS in Computer Science, Statistics, etc
I personally did my masters in CS because I wanted to have more options when I graduated. Still, regardless of the program you are coming from, most companies will be looking more at the courses you took and your project portfolio than what your degree says. I think all of those would be fine as long as you have a strong portfolio and network well.
Hey Ken, so I have a Master's in Data Analytics. Do you think Data camp is good for someone that needs brushing or wants to learn programs that I didn't learn in my program? For example, I didn't learn Power BI or R and my jobs requires alot of Power BI.
Can you talk about how you got your experience into data science and what you think about people coming from a Data Analyst role
Thanks for watching! I got my initial experience from a data science internship. I eventually leveraged that into a full time role. My earliest internship was as a marketing analyst and my later ones were in analytics and eventually data science. I will do my best to make a video on the process I went through as well!
Hey thanks for the insightful video.
I am a student of Computer Engineering, recently discovered my interest in data science. What would you suggest me? Should I go for a degree or learn by Google data analytics certificate?
I have to do a mandatory internship so I was thinking about learning by certificate course and applying for internships for role of data analyst.
I think a data analyst internship is a really good idea! You could do the data analytics certificate, learn for free on kaggle, or try a different program like 365 data science. I think all of those are great options honestly. It is all about which learning platform resonates most with you. I would also recommend trying to get involved with a personal project as quickly as you can!
Hi. Thanks for this very informative video. Got a question. Would appreciate if you can help me out. I'm doing petroleum engineering currently. Junior year. I'm starting to get interested in data analysis and data visualization to be more specific.
What would you recommend?
I haven't learnt any programming languages yet but I'm decent with excel.
I recommend taking the next step and learning a bit more on kaggle. They have micro courses and bunch of data where you can do projects (all free). This is the best place to see if you like it enough to transition careers
@@KenJee_ds alright. Thanks a lot for this response. I really appreciate that you take out time to reply to as many comment as possible. Makes your content more valuable this way. Have a great day 🤙🤙
😆
Hi Ken! Thank you for the content, I'm letteraly watching every video one by one for a week now 😂.
I'm thanking about starting at data science in a year or so and I think a data science certificate (looking at IBMs) is a good option since I don't have any background at all. Is it a good option to go through this certificate as a part time activity for maybe a year and then trying a job field transition later?
Thank you again. Best
Thinking*
I think that is fine! I generally would recommend supplementing that with some projects on kaggle.com
Hi Ken, recently started watching your videos. Very interesting and helpful content. I am a 31 year old who is going for his Masters Degree in Design to the US in a couple of months. I have an engineering background but I have mostly worked in the social sector and storytelling space. I am interested in Data Science because of the strong career possibilities but also the problem solving abilities. I also believe that as someone in the art and design space with command over Data Science principles I will be able to do more. Out of all these what would you suggest I undertake? My Masters program is 2 years long and while it will be rigorous I think I will be able to make time to study Data Science.
I love the intersection of design and data science! I think that there will be some incredible experience design roles in the future at the intersection of data science and ux.
@@KenJee_ds Thank you, Ken! You actually replied! Glad to have this response from you!
Any advice that you can give to me on this journey?
Very helpful topic, thank you!
Thanks for watching!
Hey Ken, really informative video, thanks. I'm a 29 year old accountant looking to make the move into data science/artificial intelligence. I'm looking at doing a part time masters over 2 years in Computer science & Artificial intelligence from a good university in England. My original degree was in economics so I have a bit of a statistical/mathematical background. If I build a portfolio of projects over the 2 years what do you think my chances will be of landing a decent data science job once I graduate? Thanks.
I think it would be a pretty reasonable transition for you. I would expect that a data science role is in reach (more difficult), but you should definitely be able to land an analyst position in the worst case scenario (that could turn into ds in 1-2 yrs). If you're comfortable with that outcome, I think it is worth pursuing!
@@KenJee_ds Thanks for the reply Ken, new subscriber!
Hi Ken, I am senior level employee working in finance, but I started gain interest in developing my data skills however being my age, committingg to a master degree will be something I have to think twice, however I have been learning on my own. I found some good and useful course online, and it is really cheap option for me to get started, but I want to get deeper and broader about it, getting a job being a data scientist is not my goal here, my goal is to being an BI Consultant like I am pretty good with Power BI and Tableau, but also possible other tools. what you say mate?
I think that is awesome. I think you could transition into a BI consultant role if you build out a bit more of a portfolio. I would recommend doing some "free work" for companies or local businesses so that you have experience for making that transition.
Ken Jee what you mean by portfolio in this context? Thank you.
I am a certified public accountant and looking to get into an analyst type role. Do you think I would be able to do this with the background that I have? :( thanks so much
I definitely think you can! My advice is to always leverage your existing skills. Maybe start with a project where you leverage some accounting data?
Hello Ken, Thanks for your sound advice. I have a quick question. I am a snr manager with over 18 years of experience. Does it make sense for me to take up a Masters degree in AI and ML at this stage? I am 43 year old with an operations management background in BPO, KPO, call centers etc. I have no programming language background although my maths was pretty strong back then. What do you advise? Thanks in advance.
I think it really depends on what you want your end goal to be. If it is to work in data science, then it may not be a bad idea. On the other hand, a bootcamp could be a good fit considering you already have quite a bit of experience. A third option would be for you to self teach and try to target a product owner or project management role related to data science. It isn't unheard of for someone to move from one of those roles into the more pure forms of analysis. I hope this helps Sachin!
Thanks a ton for your advise Ken and thank you for getting back so fast. You make sense.
There's certificates and then there's certificates, right? How does the UC Berkeley Extension Certificate in Data Science stack up?
I'm really not familiar with the individual school offerings haha. Unfortunately most employers just lump them all to gether
Hi Ken ! I ' ve graduated from Communication and Media Studies. I have some basic practical skills in programming with Python. In your opinion what should I choose? A Bootcamp or a master?
Hey! Thanks for watching the video. I think it really depends on your goal and the timeline you're looking for. I think if you do some self study, you could likely land an analyst position and work your way up without the need for either of these. If you are pretty comfortable financially, a boot camp or masters could make sense though. I hope this helps!
I have a MSc. Mathematics/Statistics. Been trying to land a job in the stats field since I graduated but no luck. Thinking of taking data science to become a data analyst. Planned to take a Master's degree in Data Science but have to forego because there's no scholarship available due to this horrid pandemic. Just started a free data science online course on Kaggle. My question is, am I on the right path? Is it really possible for me to become a data analyst through this path? Hope you can share your insight. I'm so desperate tbh because I just lost my job recently due to this horrible pandemic ㅠㅠ
I absolutely think you are on the right path! You already have a MS in a related discipline, so there is no need to go for another one. Perhaps you would actually be a good candidate for one of the bootcamps. There are a few that are "free" to start, they just take some percent of your starting salary for the first year after you get a job. They also help with the networking etc, which I think would benefit your case. I hope this helps!
@@KenJee_ds Thanks a lot Ken for your kind reply. Will definitely look it up right now. I'm not that good at programming actually but still trying my best to master Python. I keep questioning about my decision just because of coding ability ㅠㅠ
Hi Ken, for the project portfolio that you mentioned, has it to be published online?
I recommend publishing it online if you can!
Thank you for sharing your insights.
I am a working professional in the chemical industry (14 years experience)
with an applied/pure mathematics degree and am at this point of decision making. I have been accepted into my local accredited university for their Masters of Data Science program. I have also been accepted into GaTech’s Data Science boot camp, and am currently doing the Google Certification to get some bearings.
I really don’t want to wait the 3.5 years it would take to get my masters to enter into this field and would rather start into an entry job at least before I work on my degree, but I also don’t have much of the specific data experience from my current position to get me there.
Do you believe a math degree along with the bootcamp would carry weight? do you know any colleagues that took a similar route? I feel that my math background allows me to be more than capable for the job, but convincing an employer of this without certs or anything else under my belt is a challenge. I am also open to obtaining my Masters while working in data, I’m all about continuing education.
Any opinions and advisement are appreciated.
I think you have a couple good options ahead of you. Does the program you are a part of allow you to work full time while doing it? Many people I know started their masters programs and landed a job during the first year. Being enrolled in a masters program provides much of the signaling you need to land the job even without having taken many courses towards your degree.
I personally don't think you would need additional math degree along with your bootcamp. I would instead focus that time towards developing your project portfolio. Honestly, a strong portfolio goes further than any certificate would (and likely further than another math degree would as well). I hope this helps!
@@KenJee_ds thanks for the reply; the masters I’m looking at would now be a CS masters with a machine learning concentration (GaTech online), not another math degree (I hold a math undergrad). I have already been accepted into a Data Science masters at a local university, but at 7 times the cost of the GaTech online machine learning masters.
The masters will not start until next spring, so if I did do the bootcamp (also through GaTech, runs from September to March) I will finish up just in time to start into the masters.
I’m still on the fence about the boot camp though, $10k is $10k, and the question in my mind is will the boot camp along with my math undergrad and commitment to continue education land me at least an entry role, or should I spend that time self learning and building a portfolio in lieu of the bootcamp and still have a good chance of breaking into the field…
Hi Ken, I was graduated with a Finance bachelor's degree two years ago and I'm working at a bank right now. I want to move into a data analyst role, but I'm confused about how to get started. All the data science master degrees would require a mathematics or computer science undergraduate as a pre-requirement, so is it a certificate or bootcamp that would be more suitable for me? I'm studying online courses with 365 data now, but what would be my next step? Thank you so very much!!
Ken is incredibly generous with his helpfulness - I am sure he'll come up with some incredible tips for you Cici!
Hi Cici - I really recommend building out a portfolio and getting started with some projects. I also think there are quite a few online masters degrees that have very few requirements (if you want to go that route). I do think it would be possible to land a role as an analyst with just a strong portfolio and the 365 data science certificates though!
@@KenJee_ds Thank you so much Ken! Would you recommend that to get a data science certificate from university would be a good option after I finish the 365 courses?
Why don't you apply to Northwestern's Masters in Data Science MSDS. If you have a Finance degree like I do, you'll be able to get in. Then they'll teach you Math for Data Science, and Statistics. All are part of the curriculum. It's also a great school.
I work as a finance report analyst with some sql queries with visuals in Power BI but its more of a accounting role and I am trying just to focus on data analysis.
I have a Masters in public administration and did publish work and did go thru statistics class. I am not sure if I should do the Boot Camp or get a second Masters Degree.Boot Camp at my University is about 11 thousand dollars even though I have the money dont want to spend it something useless that will not provide the tools I need to get into the filed. I have seen countless videos and it seems like some ppl say that its a scam but I really want to get an insight .. would you hire me as analyst if I have a boot camp and some prior experience?
I think that doing your own projects would benefit your career the most. If you spent the same amount of time on projects as you would in a bootcamp, I would absolutely take you into consideration (This is also free)
Thank you for the advice!😀
Thank you Ken this helps a lot. I am a recent graduate engineer who is planning to change my career into data science. I just wondering if you can suggest how should I build a portfolio?
Thanks for watching! I think this video is exactly what you are looking for :) ua-cam.com/video/BBDiadC8BvE/v-deo.html&ab_channel=KenJee