Thanks for watching everyone! Although not explicitly mentioned in the title, I highly recommend exploring the self taught route. There are plenty of great online resources out there for you to use. (Free) My Recommendations: kzfaq.info/get/bejne/f9ZlY8aJ29a7iWg.html&ab_channel=KenJee (Paid) 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY

I am 45 and a retired teacher looking to start a career in Data Science. I really appreciate this work from you. This is the best advice I have received. Thank You.

Master's in astrophysics here! I'm planning to complete two Coursera certificates in Deep Learning (by Andrew Ng) and Data Science (IBM). I have also taken courses in databases and data mining as part of my master's. Hopefully I can get some job responses soon.

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?

Wow! Great in depth video. Thanks for explaining all of the pros and cons and what fits different personalities and backgrounds.

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!

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.

Thank you so much, Ken. Your video is actually helpful!

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.

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!

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.

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

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 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.

Will you consider making a video about putting together a project portfolio website? It would be really helpful!

So basically is it modest to say that the silver bullet to get into a good role is: ➡️to have had Software Engineer/Development education + experience Else ➡️to have been submerged in roles in your current situation (sometimes very unlikely) analyst to scientist ➡️if none of the above, then to get either of the three things (recommended but not required) but without a work portfolio (professional or otherwise) it is intensively hard

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?

simple answer: Bootcamp. I speak from experience. I have only 6 credits left to finish my MS Computer Science degree and I can tell you right from the bat.......I learn more about tools that I will actually use on the job market from youtube not from my masters classes. Bootcamp is more hands on. You learn by working on projects not reading some text book and doing a quiz (The answers to the quizzes are on quizlet anyways)

We have been watching KZfaq 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".

this is a really good video for us, thank you

Great advice as always!

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.

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!

Concise and informative sharing!!! Thanks

I’m working on my PhD and taking a 365Data Science course. My head is about to explode!

Thank you. Very helpful advice

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.

In case it's helpful for anyone: I'm in Oregon State University's Data Analysis Program and was doing Sales (groan) before. You can either cash out halfway through for a Certificate (for about $12k) or go full Master's (for about $25k). I'm about halfway through. I tried the Udemy and self-learning approach and an actual school is totally worth the money in my eyes. The use cases you work with are more compelling and rigorously assessed than free / cheap stuff I found online. You're also bombarded with concepts each week which gives you a lot of bang for your buck; usually I learn just enough to pass the class then really try to internalize it via independent projects after. I'm planning on a more portfolio-based entryway into a position that recoups what I paid for school and whether my anecdotal advice is even worth listening to probably hinges on how successful that ends up being ;o) but thus far I have been very happy with academic learning (and I'm not someone who likes college!)

Great video, Ken. This is insightful.

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?

These are pretty solid tips. I went through a similar journey since I'm already working and need structured learning. In 2017, I looked at MS CS and MS Data Science programs under $20K that are still decent. What I've seen is Georgia Tech OMSCS ($8,000), Illinois University MS Data science ($21,000), and Indiana University MS Data Science ($21,000). I failed with my application to Illinois. I got into OMSCS, I failed my 1st 2 classes and, projected to stay here for a long time. The average class students take is around 1.2 subjects/sem, with a failure rate of about 45%. I'm finishing up my IU MS Data Science, and hard to find a job still. What I got is Data Visualization and Management at Ernst and Young (and a lot of my cohorts are still struggling to find work, but easy to get an internship). If you get into Ga tech OMSCS, it's easier to find job. OMSCS is data science heavy degree. Subjects include ML, AI, HCI, Computer Vision, ML for Trading, etc. We even have AI TA's with top-notch teachers and cohorts.

I'm in Ireland so the set up is a little different but my original degree was in social science and now I'm doing a higher diploma in Data Science. This is a post grad qualification that is an add on to your degree but it's not quite a masters either. Personally I'm coinciding that with different online courses or certificates. The diploma is two years part time and it is designed for people with no data science background so there is a lot to cram in. Naturally there will be area's that i'm weaker in or where the diploma does not go into detail as I would like so I use certificates to fill those gaps. Mid term term breaks, winter breaks and soon summer breaks are a good time to do these when lectures are no longer running and you've finished up exams. In saying that university education in Ireland is a lot cheaper. My first degree was free and this higher diploma is around 4000 euro in total so I don't mind spending an extra little bit to do some courses in my own time.

Data science bootcamp advantage = you are working with an actual data science instead of an academic.

Hey you, Ken! Really nice channel you have here. You've got one more subscriber. =) . Here in Brazil we have this kind of discussion every day. And for the ones who is not from the field, but really passionate about data and the math behind it - and of course have enough time to do so -, won't you recommend a second bachelor related to the field? For example: Statistics, Computer Science, Mathmatics, and so on? . Briefly, I think for the tools, softwares, programming languages there are no better place to learn them than in online courses. Thus, the bachelor would give us the theory we need and in parallel sharp our skills with online courses. . I'm curious to know your opinion about it. Cheers from Brazil, buddy!

#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

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

This was really very helpful Sir🙏✨ tysm

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!

Very helpful. Thanks for giving such an in-depth breakdown.

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.

Thanx for the help bro 😀

Very helpful topic, thank you!

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?

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

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?

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).

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.

very informative video Thank you!

A boring answer yet practical.

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 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.

Thank you very much, I am not sure whether you have posted video about data analyst or not, but please would you post video which explain difference between data analyst and data scientist.

I went to indeed and started researching the local job market, Nashville, for data scientists. Every job required a MS in data science. I immediately can to KZfaq and found your video. My intent was to take Harvard's online DS certificate program due to its low cost. Base on what you said in this video I am just going to scrap the idea of becoming a data scientist. You confirmed what I found in my job research on indeed. I am a mechanical engineer and I also have a degree physics. I assumed that this would be a seamless transition. I currently make 6 figures in my current role. I am not looking to take a hit in salary for an super entry level job as a data scientist if I can even land this role due to the requirements employers are looking for. SMH back to the drawing board.

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!

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

Can you talk about how you got your experience into data science and what you think about people coming from a Data Analyst role

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.

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.

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

great insight !

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 (

I'd like to do a bootcamp or a certificate, but I can't pay those out of pocket so I'm just sticking with Masters cause job kinda got screwed cause of covid lockdown 🙃

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.

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?

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.

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!

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?

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 just completed an undergraduate degree in biomedical science and planning to do a Masters in data science and I was wondering how much of a transition would it be if I haven’t done any coding or maths?

What advice would give to for someone interested in data science but is currently pursuing a cs degree?

I have done Software engineering. Should I get Master degree in Data Science now to become a Data Scientist? or self learning along with various certificates and bootcamp and other online material is enough. In my engineering, I have learned almost mathematics you have mentioned one of your video.

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.

$20K for a bootcamp?!?!?! That's how much my Masters in Computer Science cost!

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?

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?

Hello. Great video! We do appreciate for this information. A quick question; what is your insight for Berkeley Extension Data Analytics booth camps?

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.

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?

Hi Ken! Thank you for the content, I'm letteraly watching every video one by one for a week now 😂. I'm thanking about starting at data science in a year or so and I think a data science certificate (looking at IBMs) is a good option since I don't have any background at all. Is it a good option to go through this certificate as a part time activity for maybe a year and then trying a job field transition later? Thank you again. Best

Hi Ken, recently started watching your videos. Very interesting and helpful content. I am a 31 year old who is going for his Masters Degree in Design to the US in a couple of months. I have an engineering background but I have mostly worked in the social sector and storytelling space. I am interested in Data Science because of the strong career possibilities but also the problem solving abilities. I also believe that as someone in the art and design space with command over Data Science principles I will be able to do more. Out of all these what would you suggest I undertake? My Masters program is 2 years long and while it will be rigorous I think I will be able to make time to study Data Science.

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?

Data science and big data are overrated and being fashionable is expensive. Data science is new, they teach some statistics, programming and databases. Computer science or mathematics is the right profile to have a solid foundation.

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 :)

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?

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?

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🙏

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!

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?

@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?

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.

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.

Lol. which one for someone in there 40's with no work experience, only an AS degree. But who has been programming since they where a child, and never been payed for it.. Who also can and has already built tensorflow, keras, pytorch and from-scratch models? It's so annoying to me when videos like this assume everyone watching must have a Bachelors degree already.

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!)

Hi Ken, great content. I am torn between certificates and bootcamp. I have PhD in Materials Science and masters in both Materials Science and Mechanical Engineering (2 masters). I was a very happy Data Analyst when COVID Crisis hit (the industry was aviation so yeah...). I also have some experience with six sigma, lean manufacturing and production as well. What would you advise a person like me? I was thinking about getting a bunch of certificates - those offered by deeplearning.ai on Coursera seem to be ok (as opposed to IBM Data Science course - this one sucks), also Coursera has several courses organized by Google, AWS, Mongo DB, etc that seem interesting, as they prove presence of some practical skills in real industry used tools. What do you think is the better option - bootcamp or a collection of certificates? I leaning towards collection of certificates - this means I don't have to go through the basics of Python programming again, and in the price of the bootcamp (say 2500 usd) I can get some interesting collection of new skill certificates or deepen those I feel need deepening.

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?

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.

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!

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?

What I see in the market, I most of the data scientist jobs openings require a graduate degree.

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?