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: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-Ip50cXvpWY4.html&ab_channel=KenJee (Paid) 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
I am 45 and a retired teacher looking to start a career in Data Science. I really appreciate this work from you. This is the best advice I have received. Thank You.
Master's in astrophysics here! I'm planning to complete two Coursera certificates in Deep Learning (by Andrew Ng) and Data Science (IBM). I have also taken courses in databases and data mining as part of my master's. Hopefully I can get some job responses soon.
I think that is a really good path. I think many companies would be interested in talking with you based on your background. I would make sure to complement the courses with projects though!
Hey Ken, I’m. Recent graduate with a Biology and Business (Finance and Econ) undergraduate degree and some familiarity with data analysis (Excel, Stata, SQL (a little)). I have a job in management consulting starting in January and am looking to strengthen my data skills. Which of these (If any) would be best for me?
Nice! I came from a management consulting background as well. A lot of consulting firms will pay for you to do a certificate or an online program. I would see what options you have through them for continued education.
I come from a background in experimental psychology. I’ve worked a ton with statistics, software packages and both quantitative and qualitative data and I’ve finished the MA degree involving a thesis. I currently work in the clinical side of psych and want to get back into something involving data, stats, marketing and ai. I have experience with blogging, web design and SEO. I’m considering the route of self-study. I want to start working on some projects and continue working at my full time job and see where it may take me.
I think that is a really good idea! I almost always recommend the self study and project route, especially if you have some background with stats / coding
Good evening Sir Ken Jee. I must say that you have been most helpful to many here and I deeply appreciate it. I have a BS and MS in Pharmacology and Toxicology(biomedical sciences) and I hope to transition into the data science field. With zero coding experience and a fair knowledge of math, how do you suggest I begin Sir? Also, what online courses (with links) would you suggest I start with? Is 365 data science site good enough? Kaggle seems to jump right into machine learning and thus I'm quite wary. So pleaser Sir, could you kindly shed some light? Thanks
I think the kaggle micro courses are really good, even for beginners. I recommend watching this video for other free resources out there ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-Ip50cXvpWY4.html. 365 data science is also great for beginners. Thanks for watching and supporting my channel!
Thanks for watching Victor! I've actually made two on this topic in this playlist: ru-vid.com/group/PL2zq7klxX5AQ3Dkl7113VO9t1rm3e4FLA . I hope they help!
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!
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
Thanks Ken! I’m 53 and am currently a data analyst with mostly DB skills. We merged into a hospital system and I need updated analytics skills. I’ll have a job. Just need the best skills. What do you recommend in my case?
Hi Tracy! I would try to get as much info on what the rest of the team is comfortable using. Most likely it will be python or R. I think getting fairly comfortable with those and whatever other tools they will be using is the best course of action. I hope this helps!
Currently a CS student looking at the data science field. I'm in my school's co-op program, and also planning on doing its accelerated Master in machine learning as well. I wonder if you have any take on getting a Master at a small and not as well known college? Right now, I'm finishing my sophomore year and my first internship, but I'm finding it increasingly hard to even get a response from data science-related roles. I'm worried that this will be a snapshot of what's to come even when I graduate, do you think a Master will help with getting past the initial resume screening, or is it not worth it if it's not from a more recognized school? Also, really appreciate the fact you are still taking time to answer questions on old videos!
For advanced technical degrees, I don't think the school matters too much during the interview process. However, coming from a larger school may mean that you have more connections to actually get to the interview. Larger schools can have a greater network which would allow you access to more positions. I think that if you get some good projects and another internship or two under your belt, you will be in a great position to land a ds role regardless of if you have a masters or not (and where it is from hypothetically). I hope this helps!
Considering that I am now 45 and looking to begin a masters in data science program this fall since my current masters in exercise science has not yielded any sort of suitable or gainful employment, I'd be more than content to find an entry level data analyst role upon graduation from a data science program. Although I have done a handful of projects and have started building a portfolio, I'm hopeful that my chances of getting an internship, landing an entry level data analyst role, or associate data analyst role while going through this master's will be increased. It's as if I feel starting this masters program will help give me that extra edge to at least obtain the most entry level position in data analysis versus just my current degree and portfolio. I say this because it seems most job listings require or prefer some kind of quantitative degree, and exercise science does not seem to make the cut. There seems to be too much of a question as to landing an entry level data analyst job even with a much more robust portfolio which I'm sure I could have by year's end.
I just completed an undergraduate degree in biomedical science and planning to do a Masters in data science and I was wondering how much of a transition would it be if I haven’t done any coding or maths?
I think most of the masters in data science programs start you off at a pretty introductory level. If I were you, I would brush up on some coding and math concepts beforehand though.I generally recommend the free kaggle micro courses. I hope this helps!
@@KenJee_ds I'm going to do a masters in Data Science In Engineering and I specifically had to do premaster with Calculus, Discrete Math, Linear Algebra and Statistics and Probability before I could even get accepted to the master. The master itself contains advanced statistics. Bear in mind that it is a masters at a Technical University and the master is very similar to the Computer Science And Engineering one.
kenny I'm in the exact same boat with biomed background except i wanted to do operations research, I already submitted one application for a pre-master and today is the deadline for submitting another application for a full master at a different uni. from what i know the programming requirements will not be as high as the statistics and calculus but most importantly the proofs! I dont know if i should spend the rest of the day doing the second application when there's not much chance i'll get in to doing a full master off the bat. i remember the application asking me what ideas i have for the masters thesis and i was like bro i dont even know the question never mind the answer lol!
@@DavidsonLoops I'm starting the Master's in data science in a weeks time and the requirements was to have a 2:2 bachelor's degree in a numerate, scientific or computer-based subject with A-level equivalent maths. I'm going to LJMU (a UK university) so I'm not sure what unis outside the UK are like
@@kenwong237 im from the UK too, I didnt get in to either uni because of my grades. I'm so happy to hear that you got in. Shame you wont be able to enjoy the uni lifestyle so much because of covid. at least there'll be no distractions to stop you putting your head down.
Very intuitive. Thanks. I've a Master degree in Physics (specialization: particle physics). I'm thinking of diving into data science. So, apart from what you have said, would you be able to guide me in this regard specifically? What would be the best case scenario in my case? I have a strong background of Mathematics and an intermediate level of programming.
Thanks for watching! I think with a masters in physics you shouldn't have too much of a problem getting into data science. Physics is a very well respected background in the industry. I would recommend that you build out a portfolio of 4+ data science projects and start networking to find opportunities. Your level of math and programming are great, you just have to show that you can apply them via projects. I hope this helps!
I'm doing economics and statistics degree and I'm already self taught software developer. I'm good at Python too. My question is, if I teach myself data science,is the this econ stat degree going to help me in the job requirements or they just need data science cert? And is it possible the math taught in my class ( Calculus1 &2,statistics and linear algebra) may cover for the maths required for data science or I need to learn more maths? Thanks🙏
I don't think a data science certification is necessary. The most important thing is being able to show that you have the data science skills. I can't stress the importance of projects enough. If you have many good projects on your github or on kaggle, this is what will demonstrate your knowledge of the field to employers. The math taught in those classes should cover almost all of it! I hope this helps!
What advice will you give for someone with no background on Science, Engineering, Math and technology but has a business administration degree in Marketing. Should he or she go forba Masters or bootcamp or take the certificate approach?
It really depends. I think for that use case, a masters could be practical. Even with one of these degrees, it is unlikely that you will jump into a data science role. In actuality, it will likely help you get to an analyst role, after that you can transition into data science.
Aye man I’m thinking about applying for a Washington university data analytics boot camp for under a little under 13k for 24 weeks. I have no experience and but they go over most things in the field. Mentioned about helping with resumes and landing my first job. Also said that they would aid me with the degree if I choose to go further.
I'm not familiar with that program, but it sounds pretty interesting! I would make sure you talk with some of the graduates to see if they got their moneys worth!
@@KenJee_ds I looked on a website there was 1 bad review about it not being worth it and the rest are good life changing experiences could be sketch but idk . Do you have any advice if I should go start off that route or take different course. please let me know in your opinion how I should go about starting up. would this bootcamp be the best decision. Data Analyst Data Engineer Database Administrator (Entry Level) Data Scientist (Entry Level) Big Data Engineer (Entry Level) Data Journalist Business Intelligence Analyst Business Analyst Research Analyst SQL Developer Software Engineer (Entry Level) Data Architect Computational Scientist. these are the things they say ill be qualified for
Very helpful.. I have a PhD in systems science and industrial engineering and I'm familiar with all data science/coding topics. But I'm struggling with finding jobs I feel I need to strengthen my skills. What do you think?
Glad to hear the video was helpful! I think a bootcamp or a certificate program would make a lot of sense. The career resources (resume etc.) would be useful in your position. I also think the ones that are free with rev share when you get a job would likely be interested in you! I hope this helps!
Hi Ken Jee, Thank you for your amazing videos. Im transitioning from a business consultant role and am planning on doing a bootcamp followed by a Masters immediately to finish next year. Do you think this would tick enough boxes to really digest as much knowledge in the most efficient way. The money isnt a big issue - im in Europe and its somewhat cheaper than N America
I'm in the same situation right now. I'm doing a PhD in physics and decided a couple of weeks ago to work with data science instead of follow the academic path. So all of my PhD free time I spend on studying data science.
@@idea_yahya If you do end up going for the 365 DS course, here is a discount for 47% off the annual fee: 365datascience.pxf.io/Z7gXQ . I hope it helps you on your learning journey!
Hey thanks for the insightful video. I am a student of Computer Engineering, recently discovered my interest in data science. What would you suggest me? Should I go for a degree or learn by Google data analytics certificate? I have to do a mandatory internship so I was thinking about learning by certificate course and applying for internships for role of data analyst.
I think a data analyst internship is a really good idea! You could do the data analytics certificate, learn for free on kaggle, or try a different program like 365 data science. I think all of those are great options honestly. It is all about which learning platform resonates most with you. I would also recommend trying to get involved with a personal project as quickly as you can!
For a field that is growing, you provide awesome content for people to navigate through it. Your help is much appreciated. My question is in regards how to get into data science. 1) Data Science Bootcamp (which includes programming requirements) > Use that knowledge to work on projects (freelancing, build portfolio) 2) Start with a full-stack development / software engineering bootcamp, get experience there, and then slowly transition to data science? Coming from a civil engineering background with little to no coding experience, what sounds better?
I actually hand't thought of option 2, but I like it quite a bit. I think that dev bootcamps are more organized at this point, and the bar for getting a development job is slightly lower than data science. I think that route could be very interesting!
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.
I am a certified public accountant and looking to get into an analyst type role. Do you think I would be able to do this with the background that I have? :( thanks so much
Hey Ken. I really appreciate your videos. I've been studying Data Science, Statistics and coding, and I feel a little lost about how to build a portfolio. Can you suggest me or give me some hints of how to do that?
Thanks for watching! A portfolio is made up of projects, so I recommend starting there. I would do at least one project on regression, one on classification, and one on clustering. You should organize all of these on github or kaggle if possible. I recommend this playlist for more info on projects and resume related stuff: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-DM1eE_Coh6g.html
Hello ken! New subscriber here. My current situation is that i've graduated with a Honours in Biochemistry and last year i enrolled into another undergraduate degree in Computer Science because I figured I would switch my career in hopes of finding a job. After completing my 1.5 years, I've decided to take on a Data science course on udemy and has since created 3 personal data science projects. Do you think that's good enough and that I should apply for jobs or should I just finish my Comp sci undergrad. Also loving the content you put out! Thanks
Thanks for the sub! I don't see why you couldn't apply for jobs and also finish out your undergrad. If you get a job, great, if not you still get the degree there. I hope this helps!
Hi Ken, I majored in data analytics for my undergrad and have some work experience as a data analyst as well as a junior data scientist. I'd like to transition into the data science side of things and I was actually admitted into a masters program at the university where I completed my undergrad. The cost of tuition however is far too high for me to afford would a bootcamp be the next best choice because of my background?
Honestly, with your experience, I don't think either would be necessary. I would pursue an analyst job (where you get paid to learn skills), and try to transition into ds after a year or two.
Hi Ken, I think you're the best guy I can ask this question. I have one year left in the Master of "Economic Analysis & Modelling" in Rabat, Morocco. I am familiar with Excel, R, and statistical packages like EViews & SPSS, but I was rejected from many Data Analyst internships in the US. So for now I started an internship in Morocco, where I basically make a questionnaire for a certain sampe, collect data, and analyse results. I have been also learning Python and Tableau because they were mentioned in the requirements of most Data analyst internships. Do you think I can land an internship next spring in the US with my anticipated level. Also how was the evolution of Data Analyst jobs and internships impacted by Covid 19. Thanks a bunch & God Bless u.
I think it would be possible to land an internship in the US, but will likely be very difficult. I think there is a very large bias for taking interns from schools in the US. For the job outlook, I think that the total market for all jobs has shrunk. However, if you clearly differentiate yourself through networking and projects, you will likely still have opportunities.
Hi Ken, i have a PhD in mechanical(thermal modeling), with 15 years of R&D design, investigation and project management experience. i have finish data science core from Edx with a certificate. it includes intro to python, SQL and essential maths in python. i am currently doing anther certification with 365 data science, it has 23 modules. I had done coding, mathematical modeling, and matlab script simulation during the working years. i had done a lot of maths in high school, especially the whole of statistics. i am currently thinking of doing a bootcamp in my country, which originally cost USD 20k, but able to get a discount down to USD 5k. its is a twelve week course, and i plan to take 2 months leave for the course. i agree with you about the networking the bootcamp can offer and also skeptical that all the online certificates can land me a data scientist job. what do you think? thanks in advance. great vedios that you had uploaded. i learnt a lot.
Thanks for watching! I have had quite a few friends with PhD's that went through bootcamps, and they were very successful there. I think that if you are coming from education (PhD) or from a technical background already, these bootcamps can be worth the money. Realistically, I don't think you will learn too much, but it will be a great opportunity for you to build out your project portfolio and help you with the networking side. Please let me know what you decide to do!
@@KenJee_ds Thanks for the prompt reply. I had pass the interview to apply for the course. now, i am waiting for course application and fees discount application for approval. seriously, although i have some coding knowledge, to handle three different codes, python, R and SQL is very hard. the multiple joins with group by and order by are very tricky. python has many ways to arrive at the same result and im currently brushing up python in 365. i have not learn R yet. having lockdown now at home, been learning all day every day, LOL. later i will try to go to your other vedio on taking on projects. by the way, do you know of any website that can help with SQL and python skills, say after finish any SQL course, to take up some complex coding example problem with solutions? i think i need to perfect them. thanks so much.
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
Hey Ken! I have done my UG in computer science years ago, currently an eSports coach starting my master's degree in eSports this fall, I want to be able to track player performance using game data, also analysing game data which will help me give a deeper understanding of of my team's performance. So far I have been doing this in a very pain staking method of gathering a few key points of data and the comparing them on paper. I am confused as to if I should start certificate program's or just start learning a software such as SQL or python. I'd really appreciate to hear your suggestion.
That is an awesome career path! I would probably have to learn more about how the game data is stored and collected. I would generally recommend learning some python to be able to work with the data though. Feel free to reach out to me via email if you would like (in my about section). I am sure that I could connect you with quite a few people who would be interested in helping you to better understand that data.
Hello KJ, you said those that do Bootcamp might not get a DS job, how possible is this judging from the fact that there is a high shortage of Data Scientist??
I wouldn't exactly say there is a shortage of entry level applicants. There is a shortage of mid & senior level data scientists. The market is still very competitive at the early stages
I'm doing a masters in astrophysics right now - it's a lot of experience coding with large datasets, is that good enough to pursue a career in data science or should I look into some of these other options?
Thanks Ken - i recently subscribed and appreciate the informative videos. Some background - I have a background in Math (BS) & Chem Engineering (BS) and have been working in a data engineer/analyst role for the past 5 years at a major automotive company. Although I have a strong quant background, I feel like I need to hone my coding skill set to get to the next level in my work (currently familiar with some R, matlab, tableau, PowerBi). I am considering a online MS analytics from Georgia Tech for its curriculum, reputation, & cost (
Hi Jonathan - I have actually heard pretty good things about that program. I think that seems like a very reasonable path to take! Would your company help subsidize the cost? If so, it seems like a no brainier to me
Hi Ken. Thank you for posting this. I am looking to transition into the Data Science world. I am strongly considering going to a bootcamp. I am curious to know what your thoughts are: I have a BA in Psychology, have TAed statistics courses. But I have been out of the field for a bit. I am hoping that a bootcamp will help me to quickly learn the skills that will eventually lead me to a job. I am nervous that employers won't take me seriously with only a BA.
I think it really depends on the types of roles you are targeting. If you have the funds to cover the bootcamp and are willing to take an analyst role, I think that is a reasonable approach to take. Thanks for watching!
Hey Ken, really informative video, thanks. I'm a 29 year old accountant looking to make the move into data science/artificial intelligence. I'm looking at doing a part time masters over 2 years in Computer science & Artificial intelligence from a good university in England. My original degree was in economics so I have a bit of a statistical/mathematical background. If I build a portfolio of projects over the 2 years what do you think my chances will be of landing a decent data science job once I graduate? Thanks.
I think it would be a pretty reasonable transition for you. I would expect that a data science role is in reach (more difficult), but you should definitely be able to land an analyst position in the worst case scenario (that could turn into ds in 1-2 yrs). If you're comfortable with that outcome, I think it is worth pursuing!
I have completed my degree in Software Engineering, I was actively looking into data science roles. What do you think I should include in my resume? and also I was taking a data science Bootcamp course on Udemy, will that be good enough to apply for data science roles?
I think you should try to do 4 + data science related projects and put them in your github. That will carry the most weight when applying for jobs. I hope this helps!
Would love to hear how it goes! Maybe you should start a youtube channel on data science haha. I need to really improve the video aspect of my videos I think
Good afternoon Michal. Please I intend to subscribe to the 365 data science monthly payment plan. I wanted to know if it'll be worth it. So far, has it been good?
I'd like to do a bootcamp or a certificate, but I can't pay those out of pocket so I'm just sticking with Masters cause job kinda got screwed cause of covid lockdown 🙃
I would definitely try to get as much work experience as you can during the masters route. There are some good virtual internships going on right now and some good research opportunities. These will be the best things for job hunting going forward. I hope this helps!
@@KenJee_ds I'm lucky in that I'm supposed to intern in September for the company I've been beta testing an app for for 2.5 years now, but I'd still like to diversify 😅I hadn't considered research opportunities before so it definitely helps! Thank you! 😄
I have done Software engineering. Should I get Master degree in Data Science now to become a Data Scientist? or self learning along with various certificates and bootcamp and other online material is enough. In my engineering, I have learned almost mathematics you have mentioned one of your video.
@@KenJee_ds Thanks for replying. You and your content always helps us... And besides mathematics most of subject have covered in SE that is essential for DS..
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.
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?
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?
Hi Ken, I was graduated with a Finance bachelor's degree two years ago and I'm working at a bank right now. I want to move into a data analyst role, but I'm confused about how to get started. All the data science master degrees would require a mathematics or computer science undergraduate as a pre-requirement, so is it a certificate or bootcamp that would be more suitable for me? I'm studying online courses with 365 data now, but what would be my next step? Thank you so very much!!
Hi Cici - I really recommend building out a portfolio and getting started with some projects. I also think there are quite a few online masters degrees that have very few requirements (if you want to go that route). I do think it would be possible to land a role as an analyst with just a strong portfolio and the 365 data science certificates though!
@@KenJee_ds Thank you so much Ken! Would you recommend that to get a data science certificate from university would be a good option after I finish the 365 courses?
Why don't you apply to Northwestern's Masters in Data Science MSDS. If you have a Finance degree like I do, you'll be able to get in. Then they'll teach you Math for Data Science, and Statistics. All are part of the curriculum. It's also a great school.
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!
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 :)
@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 ?
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!
Hi Ken ! I ' ve graduated from Communication and Media Studies. I have some basic practical skills in programming with Python. In your opinion what should I choose? A Bootcamp or a master?
Hey! Thanks for watching the video. I think it really depends on your goal and the timeline you're looking for. I think if you do some self study, you could likely land an analyst position and work your way up without the need for either of these. If you are pretty comfortable financially, a boot camp or masters could make sense though. I hope this helps!
Another question, if we have the funds to pay for a Data Science degree at say Maryville University on line but it is not a masters do you feel that is okay? The other option is for my son to finish his current B.A. in PHHP at the University of Florida and move forward to the Post Baccalaureate degree to get the additional credits needed. He would then move on to the B.A. in C.S. and finish that degree. One is longer and a Public University the other is Private, but I belive he can obtain what he needs in Maryville. This is the trade off and frankly he hates the PHHP bachelor's and has 3 more semesters and I would like him to just move on. One is more time, One is more money. Please help with advice.
Especially with the job market with the pandemic, I don't think it is a bad idea to stay in school longer, especially if he thinks he will be studying something he would enjoy more. I generally feel that a masters is more useful, but it really isn't needed if you build out a strong portfolio and network well. I hope this helps!
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?
Hello :) Thanks for your videos I really love them. I'll graduate this summer and I'll have a master's degree in pharmacy. Right now I'm really interested in Data Science I've started a course on Dataquest and I really enjoy it. Do you think a person like me with a pharmacy degree could be useful in the field of Data Science? If yes I think maybe a Bootcamp would be useful for me.
I think it definitely could be possible! I would look for some roles in big pharma companies. Any place where you can combine data science with your pharm knowledge would be a huge value add!
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!
Hey Ken will love if you could update this video for 2022. I am petroleum Engineer and in general I see the application of ML growing exponentially within the field. Not sure if you have anyone in your network that could advise on the transition. I personally been doing MOOC’s and undecided on doing the MSc while working.
I think everything still holds for the next few years! If anything, I think there is more of a premium on doing your own projects / building out a portfolio and less on formal education.
@KenJee - thanks for this video - nice one! What would you recommend for a manager/director who has data science team under their org chart? What kind of path should they pursue?
Really good question! I think that is a matter of how much that person wants to be involved every day. I think the Certificate would be a good fit there. There is a shorter time frame and would allow that person to get solid grasp of the high level concepts.
@@KenJee_ds thanks, i believe HRs tend to overexeggerste academic requirements. i don’t really care about title tho. i just love doing data science or machine learning work.
Hey ken , I am a 3rd year computer science undergraduate student. And over these years i have taught my self some of the foundations of Data Science. And I was thinking of doing a masters in data science . But i checked the syllabus of most of the data science Masters and i found out that i have the foundations of most of those courses. So i was thinking if it's the right masters for me? I'm also keeping an option to do Masters in AI. Since most of data science and AI courses are same . But i think that AI is more Advanced. So please can you guide me?
I generally don't recommend doing a masters in ds if you come from a technical background. I think spending time building out your portfolio and learning will open just as many doors for you. I hope this helps!
Ken, thank you for the information. I am leaning towards a masters course. Further to your discussion, what are your thoughts on getting certified via MS, or AWS, compared to a master degree. To put it in context, I have a accounting/ finance research background.
I think the certifications are really good to have, but may not be applicable to quite a few jobs. Some companies use MS Azure instead of Aws so you would limit yourself a bit there. I hope this helps!
Hi Ken, I'm really enjoying your videos and aspire to be a data scientist in the environmental field. I'm currently working as a data analyst but my projects continually involve just data cleaning/formatting in python and vizualization in tableau. I would like to transition to a data science position where I am able to use machine learning. Do you have any advice for making the transition from a data analyst to a data scientist. I'm reading a textbook on statistical learning to get an understanding of theory but not sure where to go from there. Thank you for making these videos!
I think you're in a really good place for that transition. The first place I would look is in your current company. Are there opportunities for you to do some of your work using python or more advanced tools? Would your boss be open to letting you do training / projects with more of the data science skillset? The second place I would go to would be kaggle.com. There is plenty of data and good project examples. I really recommend doing more project focused stuff than diving into the theory too much. I hope this helps!
I'll be going to General Assembly for Data Science in July. I'm currently working on my math and Python skills as I don't have a professional Analytics background (coming from Sales). I'm really grateful for your insights as to how to make something out of my own circumstance!
insigh01 I am taking the same course in July as well and know the professor personally. He's a great guy and he recommended I do some of the pre work to gain some familiarity with Python.
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.
Lol. which one for someone in there 40's with no work experience, only an AS degree. But who has been programming since they where a child, and never been payed for it.. Who also can and has already built tensorflow, keras, pytorch and from-scratch models? It's so annoying to me when videos like this assume everyone watching must have a Bachelors degree already.
Sorry about the assumption here! I think a bootcamp could make good sense here. It would let you showcase your projects even more. They also help you with the networking.
I have done computer engineering and have Btech degree, then I did mba in sales, now I have sales experience of 6 years,I want to change my field and utilise my btech degree in computer engineering, but I don't have any experience.. can you help me guide of how to proceed into data science field.. and how to get experience..!
Many have a contradicted view of what you're stimulating. Maybe you are yourself a graduate and that has overwhelmed you. People have actually landed as data scientists on Google with self-study. landed
Hey ken loved your video it was very informative this maybe a little unusal story but I have a degree in criminal justice and I would like to have an immediate career change and i was looking into data science/ data analysis which intersted me on how much you can do. I am currently taking on a certificate in data science to see if i am interested and i was wondering how can you create a stand out portfolio for employers with little to no experience in coding or computer science? Also will learning data science help get foot in the door into a data analysis position working on programs like R or sql?
Hey you, Ken! Really nice channel you have here. You've got one more subscriber. =) . Here in Brazil we have this kind of discussion every day. And for the ones who is not from the field, but really passionate about data and the math behind it - and of course have enough time to do so -, won't you recommend a second bachelor related to the field? For example: Statistics, Computer Science, Mathmatics, and so on? . Briefly, I think for the tools, softwares, programming languages there are no better place to learn them than in online courses. Thus, the bachelor would give us the theory we need and in parallel sharp our skills with online courses. . I'm curious to know your opinion about it. Cheers from Brazil, buddy!
Hi Humberto - Thanks for watching the video and subscribing to the channel! My thought is that if you are willing to go back to school for a second bachelors, why not just do a masters? It should take around the same amount of time, and you get an advanced degree (a requirement for many positions). Most of these masters are targeted for people that are new to data science, so they teach you some of the fundamentals as well. I don't think there is anything wrong with going back for a second bachelors though (especially if it is free or very cheap).
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.
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 ?
Hello Ken thanks for your advices. What do you think about reading books instead of those options ? I'm finishing the electronics engineering and I would like to work as a data scientist. I've already been reading a couple of books, but I don't know if it is going to be enough. Thanks!
I'm a Data Science engineering student, currently looking to what certificates should I focus on getting during my 3 academic years so I can have a better resume, any ideas ? :'(
I would spend more time on projects than certificates. If you are already learning the skills in school, you might as well show you can apply them. Certificates are fine, but most employers won't really care that much.
@@KenJee_ds I come from Tunisia, my University offer free Vouchers to any Certificate Tests that's why I'm asking about them, about Projects I'm really lost here, If there's a link or Something It would be awesome! Also thanks for your reply, really appreciate it
Hi @Ken Jee I just completed an undergraduate degree in computer science and engineering and also I landed a job as a Quant Developer in a reputed financial firm. I am planning to do Masters in Data Science in next two years. Can you tell me that this kind of job experience is beneficial for me or should I plan to switch my job?
Hello! I have a masters in molecular biology and i am interesting in getting into the field of data science not to completely switch career but to help me get more opportunities with analyzing big data in biology. Do you of any resources specific to that? Also what do you think of DataCamp and their career paths?
I would check out the data professor's youtube channel! He is a good friend of mine and works in bioinformatics. This is the perfect intersection of bio and data science. I hope it helps!
It really depends on the program. I did my masters half online and half in person. I got the same educational benefit from it. If it is an online masters from a reputable university, it will likely hold the same weight.
Really depends on quite a few things, but I would say it is possible to land a data analyst position in 6-9 months if you network well and do some incredible projects. I think this may be a good video for you: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-SsGKZe4dVyk.html&ab_channel=KenJee
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.
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.
Hello Ken, Thanks for your sound advice. I have a quick question. I am a snr manager with over 18 years of experience. Does it make sense for me to take up a Masters degree in AI and ML at this stage? I am 43 year old with an operations management background in BPO, KPO, call centers etc. I have no programming language background although my maths was pretty strong back then. What do you advise? Thanks in advance.
I think it really depends on what you want your end goal to be. If it is to work in data science, then it may not be a bad idea. On the other hand, a bootcamp could be a good fit considering you already have quite a bit of experience. A third option would be for you to self teach and try to target a product owner or project management role related to data science. It isn't unheard of for someone to move from one of those roles into the more pure forms of analysis. I hope this helps Sachin!
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?
I have a MSc. Mathematics/Statistics. Been trying to land a job in the stats field since I graduated but no luck. Thinking of taking data science to become a data analyst. Planned to take a Master's degree in Data Science but have to forego because there's no scholarship available due to this horrid pandemic. Just started a free data science online course on Kaggle. My question is, am I on the right path? Is it really possible for me to become a data analyst through this path? Hope you can share your insight. I'm so desperate tbh because I just lost my job recently due to this horrible pandemic ㅠㅠ
I absolutely think you are on the right path! You already have a MS in a related discipline, so there is no need to go for another one. Perhaps you would actually be a good candidate for one of the bootcamps. There are a few that are "free" to start, they just take some percent of your starting salary for the first year after you get a job. They also help with the networking etc, which I think would benefit your case. I hope this helps!
@@KenJee_ds Thanks a lot Ken for your kind reply. Will definitely look it up right now. I'm not that good at programming actually but still trying my best to master Python. I keep questioning about my decision just because of coding ability ㅠㅠ
simple answer: Bootcamp. I speak from experience. I have only 6 credits left to finish my MS Computer Science degree and I can tell you right from the bat.......I learn more about tools that I will actually use on the job market from youtube not from my masters classes. Bootcamp is more hands on. You learn by working on projects not reading some text book and doing a quiz (The answers to the quizzes are on quizlet anyways)
Thanks for the personal experience thoughts. I had a very different experience with my masters in CS experience. I think that it varies greatly by the program!
Hi Ken, great content. I am torn between certificates and bootcamp. I have PhD in Materials Science and masters in both Materials Science and Mechanical Engineering (2 masters). I was a very happy Data Analyst when COVID Crisis hit (the industry was aviation so yeah...). I also have some experience with six sigma, lean manufacturing and production as well. What would you advise a person like me? I was thinking about getting a bunch of certificates - those offered by deeplearning.ai on Coursera seem to be ok (as opposed to IBM Data Science course - this one sucks), also Coursera has several courses organized by Google, AWS, Mongo DB, etc that seem interesting, as they prove presence of some practical skills in real industry used tools. What do you think is the better option - bootcamp or a collection of certificates? I leaning towards collection of certificates - this means I don't have to go through the basics of Python programming again, and in the price of the bootcamp (say 2500 usd) I can get some interesting collection of new skill certificates or deepen those I feel need deepening.
I think your approach makes the most sense! The one thing the bootcamps do offer is resume review & job fair type stuff. I think you can get creative and use the resources at your past academic institutions to supplement for these if you go the certificate route.
@@KenJee_ds Thank you for the answer! I don't believe in resume reviews & job fairs... but maybe in different parts of the world how useful these are differs. ;)
Hi Ken! I am not sure if you reply to comments on older videos but I just have a question that would help me a lot for my next step. I am a recent graduate from UCSB with math bachelor's degree. I dont have much data science experience as I only had internship in finance field. I was debating either bootcamp or master's to get my foot into the data field job or internship. Which one would you recommend? (Love your content btw!)
Thanks for the kind words! What is your current situation? The easiest way in would be to build a fairly strong portfolio and try to land a data analyst job. That should be accessible with your internship in finance. Otherwise I think a masters could be a practical step. That would allow you to do research or get another relevant internship. Most companies can be a bit wary of students who graduate and do a bootcamp straight out of the gate, the generally value experience over continued education
@@KenJee_ds Thanks for the reply Ken! I am currently working part time as Data Entry Clerk and was about to do Learningfuze data science bootcamp since I felt like it would help me get a data analyst job. I will definitely think twice about bootcamp since a lot of companies are cautious about hiring bootcamp right after graduation. Can I ask you the why they would be wary though? :)
Hi Ken! I'm new to your channel.. thanks for everything! I have an economics background but no professional technical experience. Based on the video, it sounds like you'd recommend a masters degree over a bootcamp. I'm wondering your take on why a bootcamp may not be sufficient in getting a data science or analytics job? Not much of a portfolio here, but is that not something you can build out when doing a bootcamp?
Thanks for watching Kyle! I generally actually recommend not doing either and going the self study rout if you're motivated enough. I think that there are a lot of positions that ask for candidates to have masters degrees. If you want to open yourself to the most opportunities possible, having one can really help. Again, there are still a lot of cost considerations here. I think that you may learn even more in a bootcamp than you do in the first 6 months of a masters degree, but you still wouldn't have the degree that companies are using as a criteria. I personally think it is stupid that organizations recruit this way, but as it stands now it is a sad truth of the industry. I hope this helps!
So basically is it modest to say that the silver bullet to get into a good role is: ➡️to have had Software Engineer/Development education + experience Else ➡️to have been submerged in roles in your current situation (sometimes very unlikely) analyst to scientist ➡️if none of the above, then to get either of the three things (recommended but not required) but without a work portfolio (professional or otherwise) it is intensively hard
@@KenJee_ds gotcha! At the moment, due to work/life balance I am at the certificate that has a capstone project. But I will see if it is for me. Very convinced it is so far. After that I’ll have to see how to improve that portfolio. Great stuff dude
Hello Ken, I love your videos. I have a question. How I can know if I am ready for applying to internships or not? I have done few online courses on data science and worked on some projects during the course but still I have low confidence which always stops me from applying to internships.
I think that you are definitely ready to apply. Applying and interviewing isn't always about just getting the job, sometimes it can be to get a feel of where you need to improve. If you do a few and you bomb them, you will know exactly what you need to do better next time. There is also no harm in reaching out to some data scientists in your network (alumni, friends of friends, etc.) and asking them to help you with some mock interviews. These can be great for calming the nerves and getting constructive feedback. I hope this helps!
@@KenJee_ds Thank you so much Sir for suggesting me to apply for internships. Now I have successfully got a data science internship. Thank you so much Sir. I don't have words to thank you.😁
