Data Science Certificate vs Bootcamp vs Masters Degree
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- Опубліковано 28 чер 2024
- In this video I compare the benefits of pursuing a data science certificate versus a bootcamp or masters degree. These all can be reasonable options depending on your personal situation. Watch this video to see which one may be right for you
Data Science Certificate
- Positives (Inexpensive, low time commitment, can help you build out your portfolio)
- Negatives (Likely wont get you a job, not very academically rigerous)
- Good for someone with a phd looking to get data science on their resume or a beginner who wants to see if data science would be interesting to them
Data Science Bootcamp
- Positives (Good networking and resume resources, reasonable academic rigor)
- Negatives (Very expensive, hit or miss with education, very time consuming)
- Good for someone who has a good portfolio and needs the networking help, someone with a phd in an unrelated field or masters in a related field, or someone who has extra cash to spend
Data Science Masters degree
- Positives (checks the graduate degree box, access to university network and resources, internship opportunities, decent exit opportunities)
- Negatives (Most expensive, very time consuming)
- This is a good option for someone who is already an analyst and wants to move into a data science role or someone who wants to become a data analyst but has no relevant experience.
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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.
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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!
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 :)
Thank you so much, Ken. Your video is actually helpful!
Glad to hear it was helpful Jimmy! Thanks for watching!
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!
Great advice as always!
Thanks for watching James as always!
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.
Concise and informative sharing!!! Thanks
Thanks for watching Brenda!!
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 :)
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
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?
Thank you. Very helpful advice
Thanks for watching!
this is a really good video for us, thank you
Thanks for watching!
Very helpful topic, thank you!
Thanks for watching!
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?
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!
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).
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!
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!
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!
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!
very informative video Thank you!
Glad it was helpful! Thanks for watching!
Very helpful. Thanks for giving such an in-depth breakdown.
Thanks for watching Ben!
Great video, Ken. This is insightful.
Thanks for watching Jonathan!
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!
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!
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 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.
great insight !
Thanks for watching!
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!
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).
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!
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 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.
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!
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
Thanx for the help bro 😀
Thanks for watching!
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.
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!
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!
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, thanks for another insightful video! I have my BA in applied mathematics, and have been studying programming and machine learning in python for 6+ months now. I prefer self studying over schooling because I feel like I learn best that way. One problem I'm currently facing is that a lot of entry level and internship level Data Science/Analyst job postings require either a PHD or a Masters degree. Should I keep putting my focus on my coding projects for my online profile for employers to see?
I think you should absolutely continue to focus on your coding projects and keeping your profile updated! I would also focus on networking as much as you can. There tend to be far more opportunities out there than just what is listed on the internet. Informational interviews with alumni of your school or other people you know through your network can be extremely helpful as well. I don't think that you need a phd or masters to become a data scientist so I wouldn't let that deter you too much. I see an increasing number of entry level data science positions at the top companies (still not many), and I think that will be a trend going forward.
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.
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 👍
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
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!
This was really very helpful Sir🙏✨ tysm
Excellent! Thanks for watching!
We have been watching UA-cam videos for months...you have the best advice! Thank you for answers, this will help us set our son on the right path forward...much appreciated! Better than the academic advisors at the Universities, I think they have a job to do for the institution and sometimes the truth can not be told or advised. Sorry to express that but you have to follow the "Money Trail".
Yep, there are definitely some challenges with institutions. It is really difficult for them to be receptive to what is really looked for in the markets because they move relatively slowly. Thank you for watching so many of my videos and interacting!
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!
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
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 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!
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
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!
@KenJee - thanks for this video - nice one! What would you recommend for a manager/director who has data science team under their org chart? What kind of path should they pursue?
Really good question! I think that is a matter of how much that person wants to be involved every day. I think the Certificate would be a good fit there. There is a shorter time frame and would allow that person to get solid grasp of the high level concepts.
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!
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!
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 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!
Hi Ken, thanks for your detailed insights on what to expect. I'm looking into a Bootcamp but have little to no experience in the field. Should you recommend that I still do it?
I generally recommend starting with a certificate or free courses (kaggle) before making the investment in a bootcamp
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! 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? :)
#63: Aha!!!! Right timing for this video, I'm really happy to find it!!!
I'm making a decision now, not an easy decision so was great to see the Pros and Cons.
I think you don't mention in the title of this one the SELF STUDY as the 4th option, which has great insights!
Min 12:30: "Focus all that time, money, and effort into your personal project's building" 🧐
#66daysofdata
Projects. Projects. Projects!
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.
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!
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?
Thank you so much for putting this content out. It's an invaluable resource for someone like myself who is in the process of applying to grad school. I was wondering if you think the pros and cons of a masters degree outlined in the video would apply to a masters in statistics as well? I'm currently working in a completely unrelated field and I'm applying to mostly stats programs but a few data science as well. Any insight would be greatly appreciated.
Thanks for watching! I think a masters in stats is a perfectly good avenue to get into the data science field. It will definitely be more math heavy, and you will likely need to teach yourself to program. I would ask when applying what they are using (SAS, Matlab, SPSS, R, Python) in most of the classes. I personally would lean more towards a program that is using Python or R because they are more commonly used in industry. I hope this helps!
Ken Jee Yes, very helpful! I like math so that sounds like a good option for me. If I remember correctly, I heard you mention in another video that you were an undergrad econ major. I was as well. After looking at professors areas of interest in many stats departments it seems like there is a huge emphasis on applications to healthcare related research, climate change research and finance with little to no interest in econ related areas(poverty, income inequality, global or national economic trends etc.). I'm wondering if you have any insight about the prevalence or efficacy of econ related applications for data science/stats and also why this imbalance exists in the first place. Or maybe my assessment is incorrect. Thanks again and sorry if the question is a bit lengthy.
@@nathaniellanier6674 Good question! I think that economists consider econometrics a statistics discipline focused on econ. That may be why you don't see much prevalence in statistics departments. I think that using that data is absolutely valid, but it may be that it is just partitioned off in a place you wouldn't generally expect to look. I hope this helps!
Hi Ken, thanks for the video. Just wondering, when you talk about the DS Masters, would that be a post-grad for general grad applicants (from different backgrounds), rather than data/software specific? I'm doing Maths (DA, Ops, Stats) and CS (ML) dual degrees... would that be sufficient, in terms of college qualifications, for most jobs (those not specifying PhD etc)? thanks
Yes, I think that degree should be sufficient!
There are different types of "Data Science" Masters, some are aimed at upskilling people who have a general undergraduate degree, but you probably want to look for a higher standard of Data Science degree aimed at people who already have an undergrad Data Science / Compsci / Stats / Math major.
Hello! I have a masters in molecular biology and i am interesting in getting into the field of data science not to completely switch career but to help me get more opportunities with analyzing big data in biology. Do you of any resources specific to that? Also what do you think of DataCamp and their career paths?
I would check out the data professor's youtube channel! He is a good friend of mine and works in bioinformatics. This is the perfect intersection of bio and data science. I hope it helps!
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!
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!
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.
Hey Ken,
How would you treat the udacity nanodegrees as, inbetween bootcamp and certificates or more towards the certificate side??
For my situation I have an electrical eng background with some minor programming exp, off the top off my head I'd probably upskill in statistics and programming on top of the data science skills to build my foundation, right?
Most people would view these as certificates still. I think it would help to build those up a little more, but I wouldn't let that limit you. I think you should find some problems that you are interested in solving and figure out what tools allow you to get your answer. This makes the learning approach more fun, and gives you a clear target rather than learning "statistics" or "programming" which are extremely large fields themselves .
I like it!
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!
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
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!
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!
Hey! I'm a recent EE graduate who's been expanding my knowledge of Python and learning a little SQL through quarantine and I'm thinking of switching into the data science field. I've done some ML and deep learning research before but I feel like I'm missing some of the fundamentals, although I'm filling them in as fast as I can)! I got into a pretty good 2 year master's program, but I'm wondering your take because I do have a bit of an analytical background in engineering and I would love to consider a bootcamp or a certificate for the sake of time (especially if I can get started during quarantine). Any tips? Thank you so much! :)
I think thinks question usually boils down to how comfortable you are with paying for the masters degree. I think you could probably get a job as an analyst with a little more self study, and you would be getting paid during the 2 year period of the masters degree. On the other hand, I expect for a few years jobs will be down because of the pandemic, so getting a degree now may not be a bad thing!
Can you please tell me what ms program did you get into?
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!
Hello Ken, thank you for a really insightful video. You got a sub. I am doing my PhD in Chemistry and would graduate next year. Do you have any tips and starting point for me?
Awesome, thanks for the sub Tejas! Yes, I recommend getting your hands dirty with some outside projects if you can. Also, sharing what you can via github is really important. I think making the transition to data scientist from PhD student can be done fairly fluidly if you have had the time to prepare
Thanks for the tip! 😊 I'll look up for videos about ideas about projects. I didn't think you'd reply. Much thanks!
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.
I’m a physician assistant with a BS and MS in Heston sciences. I have a lot of math in my background and some coding though, and can get into a masters. I work for a giant lab right now and think I can manage to get some collaborations if I go into this to practice. I saw the Georgia Tech MS in analytics and it would fit perfectly. However, I do want to be employable and not just literate, would this be a good idea? I can afford it, I work full time so it works for me, and taking 1-2 courses a semester would work for me because I really want structure
I say go for it! There are no guarantees for a job in the field, but if it truly interests you, you can afford it, and you can handle the workload, it seems like it is worth taking a shot at!
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 :) Thanks for your videos I really love them. I'll graduate this summer and I'll have a master's degree in pharmacy. Right now I'm really interested in Data Science I've started a course on Dataquest and I really enjoy it. Do you think a person like me with a pharmacy degree could be useful in the field of Data Science? If yes I think maybe a Bootcamp would be useful for me.
I think it definitely could be possible! I would look for some roles in big pharma companies. Any place where you can combine data science with your pharm knowledge would be a huge value add!
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 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.
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!
Hello Ken, thanks for your insight. I am a master's degree holder in aeronautical engineering (engine propulsion). If I were self taught, do I have a chance of getting a job in the data science industry?
I think you absolutely would!
What advice will you give for someone with no background on Science, Engineering, Math and technology but has a business administration degree in Marketing. Should he or she go forba Masters or bootcamp or take the certificate approach?
It really depends. I think for that use case, a masters could be practical. Even with one of these degrees, it is unlikely that you will jump into a data science role. In actuality, it will likely help you get to an analyst role, after that you can transition into data science.
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, 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
Hey Ken I’ve just finished my bsc in international business and would be starting my masters in data science in a few months. I don’t have much of a quantitative background and was wondering if I would find the masters difficult?
I think it really depends on the program and your level of aptitude. If you do some prep before, you should be totally fine though!
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,
Thanks for the tips. I am working as a developer in cloud and python with 2 years of experience. I have Bachelors in CS. Iam currently pursuing the edx Data Science Micromasters from MIT. Its same lecture as MIT classroom program in Datascience. There are 4 topics Statistics, Probability, Machine Learning, Data Analysis for Social Scientists. Is this a good path to go forward for good chances of Getting a job in Machine Learning positions or Data Science Positions?
Are these skills helpful in the data science roles?
I think that the course is probably a good starting point. The thing that will help you the most when making the transition will be the projects you have and the way that you showcase them in your portfolio. I would spend as much time doing these projects as you do learning through the course. I hope this helps!
@@KenJee_ds Thanks for the reply. Yes i will do the projects in Kaggle and others on my own.The course provides some credits in about 20 universities in US and Other countries including a PHD at MIT, so will plan to take some Masters as soon as i can afford.
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?
I'm doing a masters in astrophysics right now - it's a lot of experience coding with large datasets, is that good enough to pursue a career in data science or should I look into some of these other options?
I think those are definitely transferable skills to data science
Hey I have a Bachelors in Mathematics and I was lookin got take a Data science bootcamp , would you say that my quantitative background along with the projects I would make from my bootcamp would help myself look appealing to some employers ?
I think a bootcamp would be a reasonable step with your background!
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!
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?