Thanks for watching everyone! I hope you found this video useful 😀. If you liked this, you may like the Ken's Nearest Neighbors Podcast as well: ua-cam.com/channels/pEJMMRoTIHJ8vG8q_EwqCg.html A couple fun episodes that were referenced in this video: Alex the Analyst Interview: ua-cam.com/video/sQDkFcI74mI/v-deo.html&ab_channel=Ken%27sNearestNeighborsPodcast Tina Huang Interview: ua-cam.com/video/vfV4nm004VQ/v-deo.html&ab_channel=KenJee
Well, now that I know how to switch to become a Data Scientist, I HAVE TO NOW! Great insights as always Ken, I meet a lot of people that are interested in becoming a data scientist but don't consider trying out a data analyst first. It's a great stepping stone to get you set up for success as a data scientist. Keep up the content!
Thank you for this video. I am currently in a data analyst role, my boss told me the role is primarily for pulling reports, numbers and insights. After I get everything done, I work on projects involving automation (we have crappy data structures and lots of manual processes), machine learning (specifically trying to forecast client spending numbers) and NLP (I work in a qualitative field so there are a lot of notes, so I used them for sentiment analysis). I am hoping this will give me a good base to start applying to data science roles.
As one becoming a data analyst but have regret in the path I'm truly happy that you posted this video! Enrolled the 365 course last week so happy that you mentioned it! Subbed :D
honestly, i really like your topics, and i just feel the objectivity in your talks and the way you explain your topics, again that's really helpful for a lot of people, WISH YOU THE BEST
Good that you point out, that a Data Analyst is not inferior to a Data Scientist role. I work in as a Data Scientist in my company, but want to transition into a Data Engineer role, since I don´t really like the math part and want to write more code. You can always listen, a few weeks a product owner in my company said "Damn our data pipelines crash our systems and we do not have a person who is experienced with spark and nobody is experienced with Scala. Bing bing... opportunity. I decided to do an "Ultralearning" challenge and see how much spark and Scala I can learn in 30 days. Lets see if that works out :-).
Cool guide man, Im currently in uni going through a data science undergrad program and although Im learning really technical modeling and visualization tools, we really only apply them in a sanitized, scientific setting. Love the insights on DS in the workforce
I am trying to become a data scientist (in a specific focus area) and according to this list I can call myself a data scientist working using both R and Python. But I haven't felt comfortable calling myself a scientist before understanding enough statistics to make science. Most people are afraid to spend some time to understand statistics but from an employer point of view it's a big leverage.
The statistics are important! I've found that I never feel like I'm worthy of the titles in the field. It is a progression over time where you always feel like you're lagging. I think it can actually help to call yourself a data scientist because you will keep pushing to continue to learn if you don't feel like you're worthy yet
Good stuff man.. I am a supply chain analyst kind of data analyst, there is a lot of opportunities for data science on this field, but not too many companies have data scientists. I am teaching my self Python and machine learning, I hope to make the transition to data scientist one day.
Well said Ken. Your delivery is more like a 'think-outside-the-box' than a cookie cutter approach. But since data scientists are not subject matter experts; then, the paradox of shape shifting as analyst or scientist might be the best way to thrive in a job landscape that's always in a flux.
Perhaps one of the most important tip for transitioning to data science is to subscribe to Ken's YT channel and KNN podcast 😆The new video angle looks nice, the green dinosaur is very prominent 🦖
Thank you @Ken Jee, that was really helpful for me since I have interest in Data Science but I still did not figure out how to cross the bridge from Data Analyst. Great input 🙂
Thanks for the great video Ken! This can definitely help me out because I'll be interning as a Data Analyst at the Federal Reserve Bank of San Francisco (tech stack is Python, R, SQL, and Tableau) for econometric modeling and I hope to use your advise for when I transition to either a more senior Data Analyst role past the entry level or even switch to become an actually Data Scientist once I go into industry :'))
@@jeffreyugochukwu1942 Not bad. Almost finishing a Data Engineering bootcamp but I still like to enjoy connecting with other types of data professionals! Ken Jee is a dope resource. :)
I had this problem as a recent Finance grad. Wanted to work in a finance related field but I'm glad I became an analyst. Found an analyst position at a company with a mid tier Market cap (20B) and was hired immediately. The job was also in an unattractive location so I feel like not too many people applied. The job is FANTASTIC, great pay and interesting work. My tip would be to look for lesser known companies that are displaced further away from the CBD.
So, what I got from this video is that after college I can start my career as a Data Analyst too. I won't be hesitating if I'll be offered a Data Analyst role.
My school doesn’t offer a Master’s for Data Science, but it does for Data analytics. It is nice to know that there is a path from one to the other. Thank you 👍
Hey man thanks for video. I am considering a career in data science and was thinking about taking a role as a data analyst just to get me started down that path.
Found your video from a linkedin post about a 'beef' between you and Alex . .. and it just made me even more sad about the job I started 3 weeks ago. I was excited to try an actual dev job after being an analyst for a while - and the recruiter said great things about this company. But wow, now that I'm here? 3 weeks and almost nothing to do, and I'm not at all confident that there WILL be anything to do, at least nothing that is in the least bit interesting or challenging or creative in any way. Now i want to be an analyst again!
Really sorry to hear that has been the case Cara! Unfortunately, some roles aren't all they're cracked up to be. One of the largest problems with the space is that expectations are often set poorly by companies and recruiters. It costs them more in the long run with employee attrition. Hopefully things turn around for you!
@@KenJee_ds aww thanks! I've been shying away from data science positions - because mostly they are in marketing, I think - but starting to wonder . . .
"Make sure your resume shows the type of value you've been creating at your current company or in your projects." The latter is all the more reason to not give up hope even if one has a very poor work history with employment gaps.
@@zadilkhwaja I think these videos may help on that front: ua-cam.com/video/yUrrf3Pm33s/v-deo.html&ab_channel=KenJee ua-cam.com/video/d6FeV8WXPWY/v-deo.html&ab_channel=KenJee
Waoh!!! Awesome contents, I am having issue with chosen my programming career as a chattered Accountant. Which of Data science or Data analysis or Data engineer would you recommend for me?or which is the best programming language an accountant can leverage on to stand out? Thanks as I anticipate your answer
Just in time for me. Just moved to this role from teaching high school and having other data role goals for the future. Any suggestions for creators that talk about visualization to follow ? Btw I love papayas too!
Thanks, Ken for this video. Currently, I am looking forward to entering into any data science role so that I can get some work experience. Which should one prefer first or choose first while applying for entry-level, data engineer or data analyst? As you told in one of your video about different job roles so data engineer comes first so I got this doubt.
Surprisingly I don't think there are as many data engineering entry level roles out there. If you can nab one and you enjoy the work it is worth pursuing. I think either one would be great!
I see. So whenever this person as a senior data analyst wants to move to senior data scientist then he/she has to show more on the data science part right?
I'm currently studying for the Google Data Analytics Professional Certificate. My plan is to start as a Data Analyst, build a strong foundation on coding, maths and statistics, learn ML frameworks such as TensorFlow and OpenCV and eventually transistion into the Computer Vision field as a Data Scientist. Is that a reasonable path to take?
Great info. It also makes sense that, companies would be happy to let a perrson they already know have the position, than going outside the company and it is a crapshoot. Quick question though. Do you think getting a data science certification would help make your case in transitioning or is that primarily to help get into the field?
I think that may be one of the few circumstances where a certifications could help. If you're applying directly to an outside organization they don't do much, but internally it could show that you are really focusing on developing skills
Hey Ken Jee, wanted to ask, which will you take out of 1) edx MIT statistics and data science course 2) Google analytics certification course 3) 365 data science course For a someone from a health care industry trying to make a break into something more data analytic based??
Good question, honestly I only have experience with the 365 data science courses. I might not be the best person to ask here. If you do want to go that route, I have a 57% discount for 365 data science in the description though!
I am very interested in starting a new career in Data Science in Healthcare and was planning to start my learning journey with 365Data Science, Kaggle, or Dataquest. I have a couple of questions: (i) I have a Healthcare business background and was wondering as to which of the three learning platforms mentioned above would be most suitable for me? (ii) You mentioned a set of projects that every person should complete. However, which are the projects I should work on in Healthcare to make myself more marketable and where and how can I access these projects?
I think any of those places would be suitable. Frankly, the are all good platforms! I only have a discount code for 365 data science though (in description). I don't think any of these are specific enough for it to matter what your background is going in though. I would look on kaggle and see some of the healthcare projects
Just found this channel. And I have a dilemma I hope you could help with. I'm in cybersecurity and see how data science is starting to play a large role in threat detection. Can you do a video on that?
Depending on the role they can be the same thing or completely different haha. Often business analysts still use data, but they also do more "consulting" like work within the organization. I hope this helps!
Ken, I'm currently enrolled in a MDS program, while my undergrad was in Business Administration. It's a completely new field for me so I don't have any internship/co-op experience in Data Science at all. I wonder what I can do to land a Data Science job straight out of school?
I would try to land a research role and really focus on doing valuable projects! If you can snag an internship during your degree, that would also be really beneficial!
@@KenJee_ds Thank you Ken for your recommendation. I have another question though. Does my previrous experience in other fields help me to get a data scientist job? I used to be an auditor in an accounting firm, and a casino supervisor before I decided to do DS.
@@KenJee_ds thanks for the answer ken!. I am biologist from Peru but i dont know much about the bioinformatic. Currently i try to learning python language and any course of bioinformatic in coursera. Could you recommend me where to start apart from python language?
Do you think achieving your PCPP certification is an efficient idea in getting a job or what do you think are the best certifications for becoming a data scientist?
I already have a master degree in Computer Science. I am considering either apply online PhD in Data Science from Northcentral University or online Master in Data Science from University of Michigan on Coursera ? Northcentral university ranked not good among American universities, but it's the only online Data Science PhD in the USA and it only takes 3 and half years to complete. While University of Michigan ranked around 17th among American universities, but I already have a Master degree. Which one would be better for finding data science jobs in USA ? Does ranking matter ? Thanks ! I really appreciate your help !
I really don't think additional degrees would be necessary from your background. I would spend more time focusing on your portfolio if you are looking to land a data science role. If you are planning to do research, then maybe a PhD program would be worth it. I hope this helps!
Hello Ken, my goal is to become a ML engineer, I had a Bsc in Mathematics with statistic courses and I'm currently learning ML, data analytic and programming from online courses. Do you suggest me to work as an data analyst 1st, then transits to ML engineer; Or just straight doing ML projects and look for ML engineer? Thanks
I think it could be worth it to go straight for it or maybe even try to pursue something related to software engineering. Honestly, I've found that MLE's have more in common with SWE's than possibly even data scientists
Hey Ken, love your videos. I am on the path to DS now. I was wondering - do you know any good practice problems / data sets using sports (baseball or basketball preferred) to practice on? Always helps to have something you are interested in!
Hi Ken - new subscriber here. Thank you so much for your words of wisdom. Was wondering if you'd have advice for someone in my situation: I'm currently a Data Analyst in a social media marketing agency and am looking to do an advanced degree in Data Science. Unfortunately, my non-technical background (I'm a liberal arts major who happens to be good at Math) means that I don't have the prerequisite undergraduate courses needed for Masters degrees in Data Science. However, I fit the profile of some Masters in Business Analytics/Management Analytics degrees. These courses combine business concepts with coding components, with introductory overviews into ML & AI, but they're not deep, technical specializations. Was wondering if you'd say it would be a relatively smooth journey from a Business Analytics Masters degree to an eventual Data Scientist role?
@@KenJee_ds I guess my question can be boiled down to whether a Masters in Business Analytics will help me become a Data Scientist eventually (as my liberal arts major means I don't meet the technical course requirements for Masters in CS/DS, despite me being a Data Analyst). Thanks!
Hey Ken! I miss your videos, and this is great. Need to get back to #66daysofdata It’s really fun to see the format of this video, totally awesome and different for the first 66 ones! Great tips!!!
Not related to this audio. Do you have a group for all your subscribers where they can interact, discuss doubts and ideas? If not can you make one as you've a huge reach already. Would be really helpful thank you!!
I expected an April 1st video trolling everyone somehow for 5 minutes and instead had to wait 1 more day to get actual useful and entertaining information 🙄.......🤣 Great video as always.
what about complex math like linear algebra? This is my biggest problem. I know all algorithms, but do not understand the mathematical formulas of e.g. support vector machine, principal component analysis etc. only linear regression is easy -.- I can code and use them but feel like an impostor because I cant explain the math behind them. should I switch to another field like software engineering where is less math?
If you put a gun to my head and told me I had to explain to you the math behind SVM I would not be able to. I think there is more of a premium on being able to build things people use over understanding the math
Thanks for watching everyone! I hope you found this video useful 😀. If you liked this, you may like the Ken's Nearest Neighbors Podcast as well: ua-cam.com/channels/pEJMMRoTIHJ8vG8q_EwqCg.html
A couple fun episodes that were referenced in this video:
Alex the Analyst Interview: ua-cam.com/video/sQDkFcI74mI/v-deo.html&ab_channel=Ken%27sNearestNeighborsPodcast
Tina Huang Interview: ua-cam.com/video/vfV4nm004VQ/v-deo.html&ab_channel=KenJee
BTW 'KNN' is a swear word in SE Asia lol
Great video. I consider Data Science to be an umbrella term for a host of data related professions. Would you agree with with sentiment?
@@Ledesma184th I generally would!
Great topic! Not watching it yet so I can record my reaction tonight just in case it’s interesting 😁
hahaha. Waiting for the #backlash. Honestly I was probably too diplomatic about it. I should have started more #drama
Well, now that I know how to switch to become a Data Scientist, I HAVE TO NOW! Great insights as always Ken, I meet a lot of people that are interested in becoming a data scientist but don't consider trying out a data analyst first. It's a great stepping stone to get you set up for success as a data scientist. Keep up the content!
Thanks for watching Luke! I think it is a great full career too!
Thank you for this video. I am currently in a data analyst role, my boss told me the role is primarily for pulling reports, numbers and insights. After I get everything done, I work on projects involving automation (we have crappy data structures and lots of manual processes), machine learning (specifically trying to forecast client spending numbers) and NLP (I work in a qualitative field so there are a lot of notes, so I used them for sentiment analysis). I am hoping this will give me a good base to start applying to data science roles.
This sounds like a great start!!!
Definitely the biggest and best transition of my career thus far
Awesome!! I think you sent me your email somewhere but I can't find it. Can you shoot me an email at kenjee.ds@gmail.com
@@KenJee_ds sure thing!
As one becoming a data analyst but have regret in the path I'm truly happy that you posted this video! Enrolled the 365 course last week so happy that you mentioned it! Subbed :D
Thanks for the sub Christopher! You can definitely make the transition!
honestly, i really like your topics, and i just feel the objectivity in your talks and the way you explain your topics, again that's really helpful for a lot of people, WISH YOU THE BEST
Thank you Mohammed! Really happy to hear the videos are useful!
Such a useful video! Love the tips 😍
Thanks Tina!
Good that you point out, that a Data Analyst is not inferior to a Data Scientist role. I work in as a Data Scientist in my company, but want to transition into a Data Engineer role, since I don´t really like the math part and want to write more code. You can always listen, a few weeks a product owner in my company said "Damn our data pipelines crash our systems and we do not have a person who is experienced with spark and nobody is experienced with Scala. Bing bing... opportunity. I decided to do an "Ultralearning" challenge and see how much spark and Scala I can learn in 30 days. Lets see if that works out :-).
👏Yes! It's a different discipline, which many data professionals choose over data scientist in spite of having the technical chops to do either.
Excited to hear how it goes!!!
how'd it go?
Cool guide man, Im currently in uni going through a data science undergrad program and although Im learning really technical modeling and visualization tools, we really only apply them in a sanitized, scientific setting. Love the insights on DS in the workforce
Got to get that dirty data! Thanks for watching Grant!
I am trying to become a data scientist (in a specific focus area) and according to this list I can call myself a data scientist working using both R and Python. But I haven't felt comfortable calling myself a scientist before understanding enough statistics to make science. Most people are afraid to spend some time to understand statistics but from an employer point of view it's a big leverage.
The statistics are important! I've found that I never feel like I'm worthy of the titles in the field. It is a progression over time where you always feel like you're lagging. I think it can actually help to call yourself a data scientist because you will keep pushing to continue to learn if you don't feel like you're worthy yet
The timming of this video is on point, just what I needed
What I like to hear!!
Good stuff man.. I am a supply chain analyst kind of data analyst, there is a lot of opportunities for data science on this field, but not too many companies have data scientists. I am teaching my self Python and machine learning, I hope to make the transition to data scientist one day.
Awesome stuff!
The creativity level when it comes your content is keep increasing .
Loving this such a great informative videoo💯🙌
Thanks Shruti!! Doing my best to keep making the videos better!
@@KenJee_ds doing a great job 👏🙌💯
Well said Ken. Your delivery is more like a 'think-outside-the-box' than a cookie cutter approach. But since data scientists are not subject matter experts; then, the paradox of shape shifting as analyst or scientist might be the best way to thrive in a job landscape that's always in a flux.
Very true! Thanks for watching!!
Great video production Ken ! Thanks for the tips :)
I hope you found the useful Ibraheem!
Video saved.
Thank you so much.
Thanks for watching!
This is a fantastic video, Ken. Great tips. Killing it 🙌🏻
Thanks Ravit!!
Great video Ken! Many useful tips here, specially for people trying to break into the space.
Glad to hear it! Thanks for watching Rolando!
Perhaps one of the most important tip for transitioning to data science is to subscribe to Ken's YT channel and KNN podcast 😆The new video angle looks nice, the green dinosaur is very prominent 🦖
Your videos are also very good and very informative too 😊 love watching them and get a lot of new things to learn 😆😆
@@pragatitomar6288 Thank you 😊
Haha yes! Only herbivores in the office in my bedroom!
Facts.
Thank you @Ken Jee, that was really helpful for me since I have interest in Data Science but I still did not figure out how to cross the bridge from Data Analyst.
Great input 🙂
Thanks for watching!
Thanks for the great video Ken! This can definitely help me out because I'll be interning as a Data Analyst at the Federal Reserve Bank of San Francisco (tech stack is Python, R, SQL, and Tableau) for econometric modeling and I hope to use your advise for when I transition to either a more senior Data Analyst role past the entry level or even switch to become an actually Data Scientist once I go into industry :'))
Awesome! Good luck in the internship!
@@KenJee_ds Thanks Ken 🙂!
Yo it's Jeffrey! My guy :)
@@jameshizon4861 Oh hey man! How have you been? I’ve been doing well myself. Thanks for the support 🙂
@@jeffreyugochukwu1942 Not bad. Almost finishing a Data Engineering bootcamp but I still like to enjoy connecting with other types of data professionals! Ken Jee is a dope resource. :)
The question is how do I go from unemployed to Data Analyst? :(
Great tips, Ken. Thanks!
Thanks for watching! I think Alex the Analyst has you covered!
I had this problem as a recent Finance grad. Wanted to work in a finance related field but I'm glad I became an analyst. Found an analyst position at a company with a mid tier Market cap (20B) and was hired immediately. The job was also in an unattractive location so I feel like not too many people applied. The job is FANTASTIC, great pay and interesting work. My tip would be to look for lesser known companies that are displaced further away from the CBD.
@@DaveyBooBoo historian to analyst possible?
So insightful! Thank you for sharing your valuable knowledge with us. It was really helpful
Glad you found it insightful Harshita!! Thanks for watching!
Spot on, well said!
Thanks Juan!
So, what I got from this video is that after college I can start my career as a Data Analyst too. I won't be hesitating if I'll be offered a Data Analyst role.
Yes!!
My school doesn’t offer a Master’s for Data Science, but it does for Data analytics. It is nice to know that there is a path from one to the other. Thank you 👍
Hey man thanks for video. I am considering a career in data science and was thinking about taking a role as a data analyst just to get me started down that path.
I think that is a good move!
Found your video from a linkedin post about a 'beef' between you and Alex . .. and it just made me even more sad about the job I started 3 weeks ago. I was excited to try an actual dev job after being an analyst for a while - and the recruiter said great things about this company. But wow, now that I'm here? 3 weeks and almost nothing to do, and I'm not at all confident that there WILL be anything to do, at least nothing that is in the least bit interesting or challenging or creative in any way. Now i want to be an analyst again!
Really sorry to hear that has been the case Cara! Unfortunately, some roles aren't all they're cracked up to be. One of the largest problems with the space is that expectations are often set poorly by companies and recruiters. It costs them more in the long run with employee attrition. Hopefully things turn around for you!
@@KenJee_ds aww thanks! I've been shying away from data science positions - because mostly they are in marketing, I think - but starting to wonder . . .
Looking forward to the podcast.
I hope you enjoy it!
@@KenJee_ds No doubt I will. Thanks for your work.
"Make sure your resume shows the type of value you've been creating at your current company or in your projects." The latter is all the more reason to not give up hope even if one has a very poor work history with employment gaps.
I agree! Projects can really help round you out here!
Indeed but coming up with UNIQUE projects is something I've always and still struggling with.
@@zadilkhwaja I think these videos may help on that front: ua-cam.com/video/yUrrf3Pm33s/v-deo.html&ab_channel=KenJee
ua-cam.com/video/d6FeV8WXPWY/v-deo.html&ab_channel=KenJee
Great video Ken 💯
Thanks Rick!
Great video Ken 🙌🏻
Thanks Adriaan!!
lol not the stock footage of Tina’s pomodoro timer, the one that keeps breaking on her lives 😅 but in all seriousness thank you, very helpful!
Haha I took that vid with my new lens! I may have nerded out a bit on it lol. Thanks for watching!
You are doing great work man :D keep going ^^
Thanks for watching Mike!
Dude, your video intros crack me up every time.
Haha that is the secondary goal, but glad to hear it! Will be reaching out to have you on my podcast in the next few weeks too if you're interested!
@@KenJee_ds for sure!
I also keep telling JD we need to start doing opening teaser clips like you do on KNN.
Waoh!!!
Awesome contents, I am having issue with chosen my programming career as a chattered Accountant.
Which of Data science or Data analysis or Data engineer would you recommend for me?or which is the best programming language an accountant can leverage on to stand out?
Thanks as I anticipate your answer
Can u make a playlist for data analyst.. The roadmap for data analyst..
I recommend alex the analyst's channel!
Just in time for me. Just moved to this role from teaching high school and having other data role goals for the future. Any suggestions for creators that talk about visualization to follow ?
Btw I love papayas too!
Glad to hear this was timely :). Alex the anaylst does some good visualization stuff. So does story by data (Kate Strachnyi)!
Papayas are the best!
Thanks, Ken for this video. Currently, I am looking forward to entering into any data science role so that I can get some work experience.
Which should one prefer first or choose first while applying for entry-level, data engineer or data analyst? As you told in one of your video about different job roles so data engineer comes first so I got this doubt.
Surprisingly I don't think there are as many data engineering entry level roles out there. If you can nab one and you enjoy the work it is worth pursuing. I think either one would be great!
@@KenJee_ds Okay, thank you ✌️ I will keep trying...
Ken, what is your opinion if someone previously as junior data scientist to senior data analyst?
Good question. I think it really depends on if you like the work more! That is probably a lateral move pay wise but a seniority improvement
I see. So whenever this person as a senior data analyst wants to move to senior data scientist then he/she has to show more on the data science part right?
I'm currently studying for the Google Data Analytics Professional Certificate. My plan is to start as a Data Analyst, build a strong foundation on coding, maths and statistics, learn ML frameworks such as TensorFlow and OpenCV and eventually transistion into the Computer Vision field as a Data Scientist. Is that a reasonable path to take?
Great info. It also makes sense that, companies would be happy to let a perrson they already know have the position, than going outside the company and it is a crapshoot. Quick question though. Do you think getting a data science certification would help make your case in transitioning or is that primarily to help get into the field?
I think that may be one of the few circumstances where a certifications could help. If you're applying directly to an outside organization they don't do much, but internally it could show that you are really focusing on developing skills
Those pull-ups😂😂😂 Great work by the way.
Thanks 😅
Hey Ken Jee, wanted to ask, which will you take out of
1) edx MIT statistics and data science course
2) Google analytics certification course
3) 365 data science course
For a someone from a health care industry trying to make a break into something more data analytic based??
Good question, honestly I only have experience with the 365 data science courses. I might not be the best person to ask here. If you do want to go that route, I have a 57% discount for 365 data science in the description though!
Hello sir I m a data analyst. But in our company I am using only SAP. only creating vendor, extend and blocking. Can I learn data science.
You can! I recommend starting with experimenting with other tools outside of work
Great video👍
Thanks for watching Tejas!
Is it good to mention our freelance profile with linkedin and github profile in resume?
Yes!
I am very interested in starting a new career in Data Science in Healthcare and was planning to start my learning journey with 365Data Science, Kaggle, or Dataquest. I have a couple of questions: (i) I have a Healthcare business background and was wondering as to which of the three learning platforms mentioned above would be most suitable for me? (ii) You mentioned a set of projects that every person should complete. However, which are the projects I should work on in Healthcare to make myself more marketable and where and how can I access these projects?
I think any of those places would be suitable. Frankly, the are all good platforms! I only have a discount code for 365 data science though (in description). I don't think any of these are specific enough for it to matter what your background is going in though.
I would look on kaggle and see some of the healthcare projects
@@KenJee_ds Thanks, Ken.
Just found this channel. And I have a dilemma I hope you could help with. I'm in cybersecurity and see how data science is starting to play a large role in threat detection. Can you do a video on that?
I can look into that! I should be having a guest on my podcast to talk about it at some point here!
My sister is a lead business analyst at citi , is it different from data analyst? I am always confused between these two
Depending on the role they can be the same thing or completely different haha. Often business analysts still use data, but they also do more "consulting" like work within the organization. I hope this helps!
@@KenJee_ds yea that was helpful. Thanku
Ken, I'm currently enrolled in a MDS program, while my undergrad was in Business Administration. It's a completely new field for me so I don't have any internship/co-op experience in Data Science at all. I wonder what I can do to land a Data Science job straight out of school?
I would try to land a research role and really focus on doing valuable projects! If you can snag an internship during your degree, that would also be really beneficial!
@@KenJee_ds Thank you Ken for your recommendation. I have another question though. Does my previrous experience in other fields help me to get a data scientist job? I used to be an auditor in an accounting firm, and a casino supervisor before I decided to do DS.
Hello Ken! What is the different between bioinformatics and data science?
I would say that bioinformatics is data science applied to biology! So very similar but one is more subject area focused.
@@KenJee_ds thanks for the answer ken!. I am biologist from Peru but i dont know much about the bioinformatic. Currently i try to learning python language and any course of bioinformatic in coursera. Could you recommend me where to start apart from python language?
Do you think achieving your PCPP certification is an efficient idea in getting a job or what do you think are the best certifications for becoming a data scientist?
I think that having a portfolio means more to employers than any certifications. I would generally start there!
I already have a master degree in Computer Science. I am considering either apply online PhD in Data Science from Northcentral University or online Master in Data Science from University of Michigan on Coursera ? Northcentral university ranked not good among American universities, but it's the only online Data Science PhD in the USA and it only takes 3 and half years to complete. While University of Michigan ranked around 17th among American universities, but I already have a Master degree. Which one would be better for finding data science jobs in USA ? Does ranking matter ? Thanks ! I really appreciate your help !
I really don't think additional degrees would be necessary from your background. I would spend more time focusing on your portfolio if you are looking to land a data science role. If you are planning to do research, then maybe a PhD program would be worth it. I hope this helps!
Hello Ken, my goal is to become a ML engineer, I had a Bsc in Mathematics with statistic courses and I'm currently learning ML, data analytic and programming from online courses. Do you suggest me to work as an data analyst 1st, then transits to ML engineer; Or just straight doing ML projects and look for ML engineer? Thanks
I think it could be worth it to go straight for it or maybe even try to pursue something related to software engineering. Honestly, I've found that MLE's have more in common with SWE's than possibly even data scientists
Historian to data analyst transition possible?
Absolutely!
Hey Ken, love your videos. I am on the path to DS now. I was wondering - do you know any good practice problems / data sets using sports (baseball or basketball preferred) to practice on? Always helps to have something you are interested in!
Yes! There are some good ones on kaggle.com for both sports!
Hello bro, which is more comfortable job in personal life? Data Scientist or Data Analyst or Cyber Security?
Probably not cyber security haha. Data scientist and analyst are fairly similar
Hi Ken - new subscriber here. Thank you so much for your words of wisdom. Was wondering if you'd have advice for someone in my situation:
I'm currently a Data Analyst in a social media marketing agency and am looking to do an advanced degree in Data Science. Unfortunately, my non-technical background (I'm a liberal arts major who happens to be good at Math) means that I don't have the prerequisite undergraduate courses needed for Masters degrees in Data Science.
However, I fit the profile of some Masters in Business Analytics/Management Analytics degrees. These courses combine business concepts with coding components, with introductory overviews into ML & AI, but they're not deep, technical specializations. Was wondering if you'd say it would be a relatively smooth journey from a Business Analytics Masters degree to an eventual Data Scientist role?
Excited to have you as a subscriber! Looks like the text got cut off, happy to answer questions you may have though!
@@KenJee_ds I guess my question can be boiled down to whether a Masters in Business Analytics will help me become a Data Scientist eventually (as my liberal arts major means I don't meet the technical course requirements for Masters in CS/DS, despite me being a Data Analyst). Thanks!
So Data Analyst is a low profile job?
I wouldn't say that! I think it is a really good job, I just get this question of how to transition quite a bit
Hey Ken! I miss your videos, and this is great.
Need to get back to #66daysofdata
It’s really fun to see the format of this video, totally awesome and different for the first 66 ones!
Great tips!!!
Missing your comments! Glad you enjoyed this one :)
Not related to this audio. Do you have a group for all your subscribers where they can interact, discuss doubts and ideas? If not can you make one as you've a huge reach already. Would be really helpful thank you!!
Yes! You can join the #66DaysOfData Discord server discord.gg/nwEgk6Sqdf
Which cloud technology help in data analyst job?
Honestly Alex the Analyst may be better to answer that question!
Awesome😁
Thanks for watching Rika!
I wish you mentioned the fact that most data science job postings require a master's degree in data science.
Ken nearest Neighbours. So "K means Business".
Lol
First one to comment💫
💪
Is it even possible to be an analyst with no degree?
Yep! I actually interviewed an analyst on my podcast without one!
I expected an April 1st video trolling everyone somehow for 5 minutes and instead had to wait 1 more day to get actual useful and entertaining information 🙄.......🤣
Great video as always.
Haha I thought of a couple April fools videos but just couldn't bring myself to pull the trigger 😂
Also watching this video again your papayas are rotting. Blasphemy! 😤
I did buy like 12 for that last video... Ate most of them though, moldy ones go into the smoothie
If I can do it then literally anyone can
Would love to hear your story sometime! Maybe on my podcast? Feel free to reach out to me on twitter or linkedin!
@@KenJee_ds sounds good, I’ll look you up on LinkedIn
Lol easy...just change the LinkedIn title. 😂
Actually, I am curious on how much time is spent on data pipelines for most data scientists.
it really depends on the role, but any given role between 0-40% (Wide range I know haha)
@@KenJee_ds Actually that is still helpful to be honest.
what about complex math like linear algebra? This is my biggest problem. I know all algorithms, but do not understand the mathematical formulas of e.g. support vector machine, principal component analysis etc. only linear regression is easy -.- I can code and use them but feel like an impostor because I cant explain the math behind them. should I switch to another field like software engineering where is less math?
If you put a gun to my head and told me I had to explain to you the math behind SVM I would not be able to. I think there is more of a premium on being able to build things people use over understanding the math
@@KenJee_ds thank you very much!