Data Science Certificate vs Bootcamp vs Masters Degree

[@KenJee_ds]

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: kzbin.info/www/bejne/f6GYYZaOq9WKj5Y&ab_channel=KenJee (Paid) 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY

[@juvinilebud]

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.

[@KenJee_ds]

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!

[@yuanyuan5747]

I am also considering to get an IBM data science certificate. Has it helped you to find a job?

[@137gatocholo]

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.

[@KenJee_ds]

That is awesome, thank you for the kind words! I would love to hear about how your journey progresses!

[@michaelamoah8709]

Same here. Teacher and trying to get into Data science. What have you been doing? Taking some free intro to python courses online.

[@CE-vd2px]

@@michaelamoah8709 we are on the same page! Teacher here too!

[@a_vickyp8360]

Will be great to know which path did you take! And how that went :) Warm regards!!

[@aurkom]

Would love to know about your journey!

[@adamgdev]

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

[@KenJee_ds]

Thanks for watching! Glad you found it informational :)

[@pedrocarachure12]

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.

[@KenJee_ds]

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!

[@pedrocarachure12]

@@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

[@pedrocarachure12]

@@KenJee_ds like the new google certifications I might try that out

[@yaboiyaboy9980]

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

[@KenJee_ds]

No laughing here! I think an analyst role is a reasonable goal! Just make sure to do projects and network!

[@yaboiyaboy9980]

@@KenJee_ds For sure! Thanks again for putting this info out there!

[@maythibo8109]

Thank you. Very helpful advice

[@KenJee_ds]

Thanks for watching!

[@ianmarshall4263]

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!)

[@KenJee_ds]

Thanks for the case study!! Interesting program!

[@ahmetkarabas2757]

this is a really good video for us, thank you

[@KenJee_ds]

Thanks for watching!

[@tamzidchowdhury472]

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.

[@KenJee_ds]

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!

[@tamzidchowdhury472]

@@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

[@raymondtan9112]

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.

[@KenJee_ds]

Thanks for the in depth insight here Raymond!

[@StarMonkies]

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.

[@KenJee_ds]

I have heard from many sources that the cost of masters programs or masters like programs is way cheaper outside of the US. I think that this could be a good option. I also think that if you did that program and projects or supplemented it with online coursework you would be in a great position. I hope this helps!

[@StarMonkies]

@@KenJee_ds That does help. I only discovered your channel recently and from the little I've watched it's been invaluable. I'm in my last two weeks of first year so doing exams and finishing assignments now but when I finish up I plan to watch your videos on data science projects. I have still have a year to go have covered a lot of data cleaning, regression and random forests so I think I should have enough to do some projects over the summer. Again you videos are great. You definitely deserve more views and subscribers

[@KenJee_ds]

@@StarMonkies Thank you for the kind words! Good luck finishing up your first year!

[@stevegeick5570]

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?

[@KenJee_ds]

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!

[@blackwhite2361]

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)

[@KenJee_ds]

Thanks for the personal experience thoughts. I had a very different experience with my masters in CS experience. I think that it varies greatly by the program!

[@blackwhite2361]

@@KenJee_ds true.

[@oyindamolatomoye6520]

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

[@KenJee_ds]

I think the kaggle micro courses are really good, even for beginners. I recommend watching this video for other free resources out there kzbin.info/www/bejne/f6GYYZaOq9WKj5Y. 365 data science is also great for beginners. Thanks for watching and supporting my channel!

[@railzip]

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

[@KenJee_ds]

It is a lot to take in, but I believe in you!

[@yurimuniz7]

I'm in the same situation right now. I'm doing a PhD in physics and decided a couple of weeks ago to work with data science instead of follow the academic path. So all of my PhD free time I spend on studying data science.

[@idea_yahya]

Your review of 365ds course please, I'm thinking to get one. So far, I get a good impression

[@KenJee_ds]

@@idea_yahya If you do end up going for the 365 DS course, here is a discount for 47% off the annual fee: 365datascience.pxf.io/Z7gXQ . I hope it helps you on your learning journey!

[@brendali5803]

Concise and informative sharing!!! Thanks

[@KenJee_ds]

Thanks for watching Brenda!!

[@jameshizon4861]

Great advice as always!

[@KenJee_ds]

Thanks for watching James as always!

[@shivanshigupta]

This was really very helpful Sir🙏✨ tysm

[@KenJee_ds]

Excellent! Thanks for watching!

[@xyzaex]

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

[@KenJee_ds]

This is true! Although I've had some decent adjunct professors that were practitioners

[@JinkuDas]

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.

[@KenJee_ds]

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!

[@kartikmehta5881]

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.

[@KenJee_ds]

yep! Check out this video: kzbin.info/www/bejne/eIupl4Gtn5x9nqc

[@pengapurdue5993]

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).

[@KenJee_ds]

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!

[@tokyostory9329]

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 (

[@KenJee_ds]

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

[@tokyostory9329]

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!

[@doyouseeafloatingsandwich4301]

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 🙃

[@KenJee_ds]

I would definitely try to get as much work experience as you can during the masters route. There are some good virtual internships going on right now and some good research opportunities. These will be the best things for job hunting going forward. I hope this helps!

[@doyouseeafloatingsandwich4301]

@@KenJee_ds I'm lucky in that I'm supposed to intern in September for the company I've been beta testing an app for for 2.5 years now, but I'd still like to diversify 😅I hadn't considered research opportunities before so it definitely helps! Thank you! 😄

[@Prasadavajjhala]

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.

[@KenJee_ds]

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!

[@Prasadavajjhala]

@@KenJee_ds thank you so much for the clarification 👍

[@gabrielreis451]

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

[@gabrielreis451]

Thinking*

[@KenJee_ds]

I think that is fine! I generally would recommend supplementing that with some projects on kaggle.com

[@kylebrees3109]

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?

[@KenJee_ds]

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!

[@salikmalik7631]

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

[@KenJee_ds]

Thanks for watching! I think that self learning and doing plenty of projects for your github should be sufficient.

[@salikmalik7631]

​@@KenJee_ds Thanks for replying. You and your content always helps us... And besides mathematics most of subject have covered in SE that is essential for DS..

[@divyeshjoshi7581]

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.

[@KenJee_ds]

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!

[@anjanashekhar]

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.

[@anjanashekhar]

I'd like to explore the: volunteer work + self study option

[@anjanashekhar]

As well as create a web infrastructure which showcases my ability to do projects like this for this sector

[@KenJee_ds]

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!

[@liar13cajun]

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?

[@KenJee_ds]

Thanks for watching! I think this video is exactly what you are looking for :) kzbin.info/www/bejne/eHOnmpSaeJ11rKc&ab_channel=KenJee

[@ryanstowers1188]

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?

[@KenJee_ds]

I think an incredible portfolio can mitigate the need for going back to school. It really does have to be exceptional though!

[@redwings02]

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

[@KenJee_ds]

Thanks for watching Ben!

[@shashank0404]

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.

[@KenJee_ds]

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.

[@shashank0404]

@@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?

[@jimmywang6177]

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!

[@KenJee_ds]

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!

[@jimmywang6177]

​@@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.

[@95rockforever]

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!

[@KenJee_ds]

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!

[@ibraheemelansari7793]

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.

[@KenJee_ds]

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.

[@cicichen1446]

Hi Ken, I was graduated with a Finance bachelor's degree two years ago and I'm working at a bank right now. I want to move into a data analyst role, but I'm confused about how to get started. All the data science master degrees would require a mathematics or computer science undergraduate as a pre-requirement, so is it a certificate or bootcamp that would be more suitable for me? I'm studying online courses with 365 data now, but what would be my next step? Thank you so very much!!

[@strategy_gal]

Ken is incredibly generous with his helpfulness - I am sure he'll come up with some incredible tips for you Cici!

[@KenJee_ds]

Hi Cici - I really recommend building out a portfolio and getting started with some projects. I also think there are quite a few online masters degrees that have very few requirements (if you want to go that route). I do think it would be possible to land a role as an analyst with just a strong portfolio and the 365 data science certificates though!

[@cicichen1446]

@@KenJee_ds Thank you so much Ken! Would you recommend that to get a data science certificate from university would be a good option after I finish the 365 courses?

[@gilltim5711]

Why don't you apply to Northwestern's Masters in Data Science MSDS. If you have a Finance degree like I do, you'll be able to get in. Then they'll teach you Math for Data Science, and Statistics. All are part of the curriculum. It's also a great school.

[@xiaoyuezhu3599]

very informative video Thank you!

[@KenJee_ds]

Glad it was helpful! Thanks for watching!

[@jaimerv19]

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!

[@KenJee_ds]

I think projects are by far the fastest way to learn the field. I personally recommend kaggle to start out with!

[@munitionskiste9073]

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.

[@KenJee_ds]

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!

[@munitionskiste9073]

@@KenJee_ds Thank you!

[@jkingramjr]

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 KZbin 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.

[@KenJee_ds]

Thanks for watching Eric! I think that over time, the MS requirements for ds jobs will disappear. I think that companies are really missing out on quality candidates if they keep taking this approach. I will say that if you get one role in data science, companies pretty much waive that requirement if you change positions.

[@spiker2309]

I have a MSc. Mathematics/Statistics. Been trying to land a job in the stats field since I graduated but no luck. Thinking of taking data science to become a data analyst. Planned to take a Master's degree in Data Science but have to forego because there's no scholarship available due to this horrid pandemic. Just started a free data science online course on Kaggle. My question is, am I on the right path? Is it really possible for me to become a data analyst through this path? Hope you can share your insight. I'm so desperate tbh because I just lost my job recently due to this horrible pandemic ㅠㅠ

[@KenJee_ds]

I absolutely think you are on the right path! You already have a MS in a related discipline, so there is no need to go for another one. Perhaps you would actually be a good candidate for one of the bootcamps. There are a few that are "free" to start, they just take some percent of your starting salary for the first year after you get a job. They also help with the networking etc, which I think would benefit your case. I hope this helps!

[@spiker2309]

@@KenJee_ds Thanks a lot Ken for your kind reply. Will definitely look it up right now. I'm not that good at programming actually but still trying my best to master Python. I keep questioning about my decision just because of coding ability ㅠㅠ

[@Ivanildo.S]

I work in the government sector, ministry of finance of my country and i like doing forecasts on cash incomes and expenses. I want to set myself apart from my colleagues who all pursue MPA. Would it be a good choice to pursue a Data Science Masters? I got a Bachelor in Econ. by the way with major in macro econ but i would like the flexibility to also work freely in the private sector.

[@KenJee_ds]

I think it could be worthwhile if education in your country isn't overly expensive like in the US

[@Sirzacharia]

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.

[@KenJee_ds]

I think that would be a good use case!

[@trentonpearson7353]

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.

[@sachinrajendran8580]

Hello Ken, Thanks for your sound advice. I have a quick question. I am a snr manager with over 18 years of experience. Does it make sense for me to take up a Masters degree in AI and ML at this stage? I am 43 year old with an operations management background in BPO, KPO, call centers etc. I have no programming language background although my maths was pretty strong back then. What do you advise? Thanks in advance.

[@KenJee_ds]

I think it really depends on what you want your end goal to be. If it is to work in data science, then it may not be a bad idea. On the other hand, a bootcamp could be a good fit considering you already have quite a bit of experience. A third option would be for you to self teach and try to target a product owner or project management role related to data science. It isn't unheard of for someone to move from one of those roles into the more pure forms of analysis. I hope this helps Sachin!

[@sachinrajendran8580]

Thanks a ton for your advise Ken and thank you for getting back so fast. You make sense.

[@naheddarwish1338]

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?

[@KenJee_ds]

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!

[@yjhew97]

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

[@KenJee_ds]

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.

[@jiyasingh664]

Hey Ken, can you recommend the best universities to get a master's degree in DS?

[@KenJee_ds]

Unfortunately, I can't. I haven't taken a masters in ds, so I don't think it would be fair for me to judge. There should be some rankings online though that would do as good a job as I could.

[@stand4justice4867]

@Ken Jee what do you think about Data Science master's program offered by big universities like the one given by UMICH at Coursera? Will they be a waste of time or will they greatly help enter the data science industry ?

[@KenJee_ds]

I think they're generally worthwhile! Depends on your learning style. If you want something a bit hands on it may be worth it to do some of the other certificates. I hope this helps!

[@veonl4219]

Hi Ken, for the project portfolio that you mentioned, has it to be published online?

[@KenJee_ds]

I recommend publishing it online if you can!

[@lukealexander4512]

Hey Ken, I am in the process of changing my major from a B.S. in Speech-Language Pathology (SLP) to Data Science as the ROI (Return on Investment) is sub par in SLP and I have discovered many interesting facets associated with Data Science. I have to take some prereqs before I can apply to my university's B.S. in Data Science program. However, I became concerned as you mentioned that Data Science COULD become oversaturated even if I have a Master's degree (SLP is too since they'll take anyone ranging from pre-med to Underwater Basket Weaving). Will I keep a high-paying job if I make this transition now and have a few years of experience after earning a grad degree, or should I do the following: 1) B.S. in Data Science with Actuarial Science Minor 2) B.A. or B.S. in Stats with a Minor in Computer Science 3) Pick something in tech, business, econ/finance, or another field. After learning from the recent pandemic and reevaluating my college career, I have surmised that I want to do a tech, math, computer, business, or finance/econ-based job from home. I was misled (many of my classmates as well) by those in SLP and believed I could do work from home, but just like many majors they use work-from-home as a marketing strategy and omit info that there are many strings attached to this premise.

[@KenJee_ds]

If your greatest concern is future employability, I think data science + a minor in computer science gives you the most options. I think there will always be jobs for people that can program well! My recommendation is to always do your best to find a job first (data analyst, software engineer, or data scientist (harder)) and use a graduate degree as a fallback plan. In a graduate degree, you have the ability to do another internship or research which is the best thing for getting you a job. That would be my advice for undergrad too, try to do as many internships, research type things, and personal projects as you can. I hope this helps!

[@lukealexander4512]

@@KenJee_ds Thank you for the advice. Best of luck on your future videos and your career!

[@TruePeaceSeeker]

Can you give me a data science bootcamp remmendation? Currently I'm looking at local bootcamps but I want to join one with international recognitions. Any suggestions?

[@amedzkee]

I have an electronics engineering degree but work as a biomedical technician in a hospital. Haven’t used any coding since college but use a lot of exceI. I was thinking of getting a data science specialization course and then a masters in data science at the end of the year. School can be partially covered by my employer. I was thinking about moving into an analytics or data engineering role at my hospital. Would that be a good route? Thank you.

[@KenJee_ds]

That sounds like a great route! I always recommend leveraging the resources that you currently have through your work!

[@amedzkee]

Ken Jee Thank you, Ken! I have been interested for a while but just needed that structure that you’re talking about.

[@nathaniellanier6674]

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.

[@KenJee_ds]

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!

[@nathaniellanier6674]

​ 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.

[@KenJee_ds]

@@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!

[@bethannesandie7968]

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

[@KenJee_ds]

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!

[@maxanderson9883]

I have a bachelors degree in Business Analytics. throughout the curriculum we were always discussing data science and used Python, R, SQL, and AWS. Do you think a data science certificate would pair well with this and increase my chances of employment in this field?

[@KenJee_ds]

I think it could help, but generally spending time building out a project portfolio would produce greater returns!

[@kiish8571]

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?

[@KenJee_ds]

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!

[@bipinsubedi4830]

Hello Ken Jee, I have Bachelor's degree in Mechanical Engineering and I'm currently working as an engineer for piping company. I am also doing master's degree (online) in IT. I'm eventually trying to get into Data Science. Is getting AWS Certified Data Analytics - Specialty certification good enough to land a Data Science job considering I have a master's degree in IT?

[@KenJee_ds]

I think it could definitely help! I think that projects showing that you can use the tools will always carry more weight than certificates though.

[@TeeJReacts_]

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 ?

[@KenJee_ds]

I think a bootcamp would be a reasonable step with your background!

[@souravpaul4994]

Q. I don't have any particular degree of statistics or computer science but I liked statistics a lot and have encountered in school to graduation days. Now, I want to dive in data scinece domian. So my question is that, certification or micro-masters or masters degree, which one of this courses give me a push for jobs and good career path for data science?

[@KenJee_ds]

I would say all else being equal, a masters degree would give you the largest boost in career prospects. However, it is the most expensive option, and I think you can also have perfectly fine career prospects with a certificate combined with a robust project portfolio. I hope this helps!

[@souravpaul4994]

@@KenJee_ds Thank you for the advice. and When I will apply for masters degree in college, do they going to judge me over my background as I don't have relative background? Instead of I show them certificate on data science with a project and then apply for master in data science in college. will that be appropiate?

[@onyonable]

What is your opinion on someone who pursuing a data science career without a degree? I'm currently self learning by buying course online and planning on attending a bootcamp in the next year.

[@KenJee_ds]

I think that it is probably a little harder to get into without a degree than web development, but it is still possible! I think you will really need to have an awesome project portfolio to draw from. Thanks for watching!

[@onyonable]

@@KenJee_ds thank you for replying Mr Ken, consider yourself subscribed. Seems like I have to grind a lot

[@heavymetal9492]

Hello, I am sort of late to the game in finding your video. Any thoughts on where someone with related degrees BS (Analytical Chemistry) and an MBA (Finance) might fall?

[@KenJee_ds]

I think the certificate/self study or bootcamp route would make a lot of sense!

[@imranullah3097]

How can boost my skills with out internship ?

[@KenJee_ds]

Projects!

[@dohunkim2922]

I'm currently an undergrad sophomore. I'm majoring math and might minor DS. In this case, do you recommend grad school or bootcamp?

[@KenJee_ds]

I don't think you would actually need either if you can nab an internship or two before you graduate!

[@dohunkim2922]

@@KenJee_ds Thanks. I like literally just started to learn to program. If I grind for 2 years, do you think I'll be a sufficient candidate? And does research with professors also count as an internship?

[@KenJee_ds]

@@dohunkim2922 I think that would be sufficient. And research with professors definitely counts! The most important things are the real work experience like internships, projects, and research!

[@dohunkim2922]

@@KenJee_ds Great help! Thanks man

[@BirenderSinghJalall]

Hey Ken, I have an experience of 2 years as an analyst and have just enrolled for Ms in data science remotely from Liverpool John Moore's university, is that worth it?

[@KenJee_ds]

Hard to say if it is worth it, I don't know much about individual programs. I think that if you use the time to learn, get an internship, and build out a really strong project portfolio, it will be worth it at any program.

[@alejandromorales5720]

Hi ken, loved the content you have been putting out regarding DS, I have some doubts regarding my situation since its quite specific and I wanted to get your opinion. I was going to start my undergrad as an Engineer in Data and Mathematics but I have decided to wait one more year so that I can study in Germany (I live in Mexico so returning here with with a German title will allow me to secure a job with ease). In the mean time I have been considering possibly switching majors to something like Economics, or Physics. I have thought of becoming a DS for two years now, however I am worried that the Job opportunities DS promises might shrink and that my degree might limit me the amount of jobs I can find in comparison to the other degrees I am interested in. I am not the best at coding however I have been told that as long as I know how to properly query with SQL (which I can) and have a good exposition of my data, I should be fine. Although I know I would enjoy my time studying something like Economics I feel like it would be really easy for me and I would only want to get in degree in something I struggle with so that I have a more complete profile when I enter the corporate world. TLDR: I really enjoy the implications of being a DS and want a challenging major, but I don't know if Im cut out to be one and might consider just doing a Masters after an undegrad in something else.

[@KenJee_ds]

Thanks for watching the videos Alejandro! Realistically, I think between all of those majors it doesn't matter much what you study. They will all be totally fine IF you focus on doing internships and projects during your schooling as well. The work experience from those things will carry you further than what major it says on the diploma. I hope this helps!

[@motivationthreshold]

Hi Ken. I am sure you have answered this question 1000s of times. Sorry. But what data science certification/program would you recommend for me if I am about to pursue a Ph.D. in the health/medical/physiology side of things. I keep seeing 365Datascience...is that a good one to go with?

[@KenJee_ds]

I would personally try the kaggle micro courses first. They are free and create a great framework for learning python etc. I don't think any of the courses are better than the others, but I have worked with 365 data science personally, and they are the only course that I can personally offer a discount on. If that seems to be up your alley here are some discount codes: 365 Data Science: (20% off Monthly) 365datascience.pxf.io/Wno9O or (47% off one year) 365datascience.pxf.io/JG3yR

[@motivationthreshold]

Ken Jee Thank you for taking the time to reply. I really appreciate it. I have had a look at the data science365 and it looks great. Discounts are always a cherry on top 😬

[@allentoth8766]

Very informative. I recently became interested in data science, and I'm trying to find out what my best course of action would be. My biggest issue is that I don't have any computer science exposure. I was a biology/pre-med major, and I've been working in the pharmaceutical field for 4 years. I have a decent grip on statistical methods, but again no knowledge of coding outside of excel and a few lines in R. I'm afraid I'd be blown out of the water if I jumped into a master's program right away (assuming I could get into one). I guess my question is, where do you think I should start?

[@KenJee_ds]

I recommend starting with the micro courses at kaggle.com. These courses focus on functional knowledge. From there, you can do some of your own projects and I think this will help you get up to speed!

[@allentoth8766]

@@KenJee_ds Thanks Ken, I appreciate it!

[@Itsdlu]

what are the odds of self-teaching data science and landing a job ( in comparison with software engineering)?

[@KenJee_ds]

I would say only slightly worse. If you came in with the same caliber of projects, it would be a very close race still.

[@PanupatChong]

Can you recommend which bootcamp to take if I want an as-close-to-realworld sort of assignment? I'm also very interested to learn the deployment part of data science, like, having my model on a cloud that can be consumed via api, with this whole thing as a docker image, etc thanks

[@KenJee_ds]

Unfortunately, I am not intimately familiar with all of the bootcamps out there and I don't think it would be fair for me to make a recommendation. I would say that the best way to evaluate these is by looking 1) at their course material to see if it has things you believe are relevant and 2) to see what jobs graduates of the program have gotten with a similar background to you

[@amitjankar3269]

Thanks for the video really helpful, what you suggest, if having master degree in computer science and 4 work experience as an ETL Developer(bit part of data engineer)? Also how u see positive ans negative point of work experience as an etl Developer will help to moving to data Science.

[@KenJee_ds]

Thanks for watching! With that background I think you are plenty qualified to be a data scientist already if you have a good data science project portfolio on github. I think working as an ETL developer really will give you a good understanding of the data exploration aspects. One thing you want to make sure of is that you pick up the communication skills and the business intuition needed for data science. I hope this helps!

[@amitjankar3269]

Hi @@KenJee_ds thanks for replying and inspiring. I have started bootcamp with Springboard India Data Science Career Track program, and like you said for networking it will work for me also I am not that good at statistics and math now I hope springboard bootcamp will help me. Also a good point you mentioned communication and business intetuation. Thanks

[@amitjankar3269]

Also would like to know more about good data Science project portfolio on github, will be great if you make one detail video on github and explain question like how to start with github and how to identify good project, :)

[@KenJee_ds]

@@amitjankar3269 I recommend watching this video of mine kzbin.info/www/bejne/r6bOlYuMbrGFapo

[@Patrickdot92]

I am doing PhD in applied Mathematics, ( modelling on system and control ). I am working with C+, Matlab, Python. I am pursuing my career as a data scientist / data analyst. Is there any growing field, relates to data modeling ?. In my case, Is it essential to take certificate from like, coursera, edX, .... And what is the main topics / parts should have to complete?

[@KenJee_ds]

With that background, I don't think you will have too much trouble breaking into the field! Can you expand more on what you mean by data modeling? I think that may fall into what a database architect does. There are probably some courses related to distributed systems and map reduce techniques that would be relevant for this type of work. This isn't my area of expertise though unfortunately

[@Patrickdot92]

@@KenJee_ds Thank you for reply. I have no enough idea about data science , Actually, I want to make my self for any types of modelling. I will look your suggestion.

[@BeautyByJuliette14]

What about getting a bachelors in data science? Should I do anything after it or go for jobs right away?

[@KenJee_ds]

I would recommend getting as many internships as you can in college. With a data science degree and work experience you should be setting yourself up well!

[@regmatt]

i have a question , i already have my masters in science , been doing data for 5 years but want to learn more , joining a data science bootcamp to movie on . ? and upgrading a job does this helps ?

[@KenJee_ds]

That could definitely help! If you already have a masters degree where you have been using data, you could probably get by with just building out your project portfolio further.

[@regmatt]

Ken Jee thank you 👍🏻

[@Robin-zb9ms]

Will a double degree in top CS and Stats programs in undergraduate kind of close to BS + MS? Thanks

[@KenJee_ds]

I think that if you graduate with those degrees, have good internships, and have done quality projects, you shouldn't have a problem finding an opportunity. It is hard to say if it is close to equal. If you have already worked as a data scientist somewhere, employers don't really care if you have a masters degree. It is just one of the criteria that can be used to validate.

[@Robin-zb9ms]

Appreciate the advice! I'm an undergraduate looking for interns next summer actually

[@MuhammadAbdullah-ie8rw]

What about bachelors in data science?

[@KenJee_ds]

I think that is a reasonable approach!

[@MuhammadAbdullah-ie8rw]

@@KenJee_ds i got admission in bachelors in data science today.

[@Maddie-lv5sg]

Good info...what do you mean by a quantitative background?.

[@KenJee_ds]

Quantitative is usually: CS, Math, Physics, Economics, Statistics, etc.

[@durveshpatil6745]

Hey Ken, is diploma of 1 year is sufficient to get job??

[@KenJee_ds]

First, to be clear, no degree will land you a job. Internships, projects, etc. will make the most difference. A 1 year masters degree can help with that process though.

[@tonyomec3834]

I have a UG in Business management, I currently work for telecom infrastructure firm as a service Desk analyst. I plan on getting a masters/MBA in Business analytics and would like to combine that with Data science by getting certifications from online courses and building projects. Is it any good?. I'll need your advice sir Ken

[@KenJee_ds]

Hi Tony - I think that makes sense, would you be shooting more for a managing role than an implementation role?

[@okay2779]

What about boot camp and masters together? 🤔🤔

[@KenJee_ds]

I generally think that would be overkill haha

[@yashchaudhari7149]

hi sir,please tell some data science bootcamp source.

[@KenJee_ds]

I generally recommend the free kaggle micro courses or the coursework at 365 data science

[@yashchaudhari7149]

@@KenJee_ds Thanks and where to find projects in data science?

[@MiguelRodriguez-dv3po]

I just recently joined Careera I'm not really sure if it's legit but they have a internship program after

[@KenJee_ds]

I haven't heard about that. Hope it works out!

[@MiguelRodriguez-dv3po]

Im still a little skeptical about it still but as im doing the lessons it seems legit i just dont know how legit but im really intrested in the field of work. Thank you i enjoy recieving the infromation you provide in your content

[@direction777]

Hi... Hope you are doing gud. I am an MBA in Finance Mgmnt nd having 15+ yrs of exp. Pls suggest what shud I do to get into data science field. Thnx

[@KenJee_ds]

I recommend going to kaggle.com and starting to learn the coding and statistics basics. Next, you need to build a portfolio of projects. This video has my best recommendations for learning the field: kzbin.info/www/bejne/aoC9mqNmmMyCntE

[@direction777]

@@KenJee_ds Many thanks Ken. Take care

[@ohirahman]

Do you know which one is the cheapest Masters Data Science school?

[@KenJee_ds]

That isn't something I know. I doubt it would be in the us though!

[@Itsniteshkumar]

I like it!

[@johncharipurathu]

brooo you look just like the dude from lost. the scientist

[@KenJee_ds]

lol hopefully I have better hair at least

[@ludovicorodriguez5630]

What about Masters on Coursera?

[@KenJee_ds]

Honestly, I'm not intimately familiar with it. I am of the belief that the projects you do will take you as far if not further than any degree

[@xiaoyuezhu3599]

Can anyone recommend any good Bootcamp? Thanks in advance!

[@jakeorbach1018]

I too am interested in learning more about bootcamps. @Ken what bootcamps would you recommend taking?

[@KenJee_ds]

Unfortunately, I don't have enough knowledge of the specific bootcamps to be able to give advice here. I have had a friend to Metis and one to General Assembly and they both seemed to benefit from them.

[@AnthonyDePalma722]

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?

[@KenJee_ds]

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.

[@GraceNcube]

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.

[@KenJee_ds]

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

[@weiyangshi4729]

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

[@KenJee_ds]

Thanks for watching Victor! I've actually made two on this topic in this playlist: kzbin.info/aero/PL2zq7klxX5AQ3Dkl7113VO9t1rm3e4FLA . I hope they help!

[@weiyangshi4729]

@@KenJee_ds Thanks Ken!

[@stevenzhao3414]

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!

[@KenJee_ds]

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!

[@thandokwenda7083]

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

[@KenJee_ds]

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!

[@sohaismail2503]

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

[@adinugraha1276]

You could learn Python first, maybe.. And the rest of them will be easier (R, SQL, etc).

[@TracyGraham13]

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?

[@KenJee_ds]

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!

[@kenwong237]

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?

[@KenJee_ds]

I think most of the masters in data science programs start you off at a pretty introductory level. If I were you, I would brush up on some coding and math concepts beforehand though.I generally recommend the free kaggle micro courses. I hope this helps!

[@MisterTLion5921]

@@KenJee_ds I'm going to do a masters in Data Science In Engineering and I specifically had to do premaster with Calculus, Discrete Math, Linear Algebra and Statistics and Probability before I could even get accepted to the master. The master itself contains advanced statistics. Bear in mind that it is a masters at a Technical University and the master is very similar to the Computer Science And Engineering one.

[@DavidsonLoops]

kenny I'm in the exact same boat with biomed background except i wanted to do operations research, I already submitted one application for a pre-master and today is the deadline for submitting another application for a full master at a different uni. from what i know the programming requirements will not be as high as the statistics and calculus but most importantly the proofs! I dont know if i should spend the rest of the day doing the second application when there's not much chance i'll get in to doing a full master off the bat. i remember the application asking me what ideas i have for the masters thesis and i was like bro i dont even know the question never mind the answer lol!

[@kenwong237]

@@DavidsonLoops I'm starting the Master's in data science in a weeks time and the requirements was to have a 2:2 bachelor's degree in a numerate, scientific or computer-based subject with A-level equivalent maths. I'm going to LJMU (a UK university) so I'm not sure what unis outside the UK are like

[@DavidsonLoops]

@@kenwong237 im from the UK too, I didnt get in to either uni because of my grades. I'm so happy to hear that you got in. Shame you wont be able to enjoy the uni lifestyle so much because of covid. at least there'll be no distractions to stop you putting your head down.

[@MohamedAli-dx2fp]

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🙏

[@KenJee_ds]

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!