IBM Data Science

share ›
‹ links

Below are the top discussions from Reddit that mention this online Coursera professional certificate from IBM.

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater.

Data Science Statistical Analysis Machine Learning Python Programming Business Intelligence Data Analysis Pandas Numpy Cloud Databases Ipython Relational Database Management System (RDBMS) SQL

Reddsera may receive an affiliate commission if you enroll in a paid course after using these buttons to visit Coursera. Thank you for using these buttons to support Reddsera.

Taught by
Joseph Santarcangelo
Ph.D., Data Scientist at IBM
and 23 more instructors

Offered by

This professional-certificate includes these 7 courses.

Reddit Posts and Comments

2 posts • 80 mentions • top 35 shown below

r/dataanalytics • post
10 points • NotNotGod
is the IBM Data Science Professional Certificate worth the investment?

I am a university scm student but my real interest lies in data analytics and business development. I really want to teach myself how to code, specifically Python (as it appears to be pretty universally recognized and used). this course looks legit, plus being able to put the "official certification" on my resume is huge, but its not free ($35/month, website says course takes \~3 months to finish @ 12 hours/week)

is the course worth the investment

here is the link for reference:

r/EngineeringStudents • post
4 points • colhany1
Data science and Embedded Engineering

Hello, I'm pursuing a degree in computer engineering next year and I have a passion for embedded systems and wishing to specialize as an embedded systems engineer But now I've stumbled upon this coursera specialization ( ) And I find it interesting, I've always wanted to know more about machine learning and data science. The question here is, would it cause conflict in my mind if I take this specialization now? Or in other words, would this be a useful skill to learn or would it make things worse if I want to become an embedded systems engineer in the future? Thank you.

r/learnprogramming • post
8 points • GKaplan0
Thoughts on Coursera

Long time reader, maybe second/third time poster.

Recently I've decided to work on my programming skills. I'm currently in CC (or was) and will start (finish up) at a regular 4 year in the fall studying computer science. tbh I'm about 2-3 years out from graduation, but I'd like to learn how to program, so that when I'm out of school, I'm -somewhat- ready to go (maybe even during school, try to get an internship/co-op so I don't have to do retail sales like I'm doing now).

On Coursera, I came across an "IBM Data Science" certification( ). Essentially it's take a few different courses (basics, SQL, focus on Python -so it seems) and bam I get a cert and I can put it on my Linkedin. My question is:

  1. Is it worth it? It would cost around $40/month and the pace is how I quickly/slowly I go through it (it est. 3 months).
  2. If it's not, is there anything on Coursera worthwhile?
  3. If not, where do you recommend I begin? I've done Codecademy and felt like I was just memorizing and typing out what I saw... not actually learning anything (if that makes sense). There was one like Codecademy too, except it's free. But I kind of got that same experience from it.


r/learnpython • post
7 points • parth2480
Where exactly do I stand on the learning staircase? What do I do next?

Hey r/learnpython,

I have been exposed to python for about 2 years now but I'm not sure how much I actually know in regards to getting a job as a developer.


Tl;dr I know a lot of things at a very basic level but how do I take my knowledge to a level which is acceptable in industry.


I got taught python when I started university so that we could have more professional graphs for our lab reports. We got taught the basics like loops, conditionals, slicing, functions, scipy for data analysis and matplotlib for graphs then it was object-oriented programming for an assignment.

I applied to about 20 summer internships for software engineering mainly but got rejected by all of them. Just before summer began I applied to a company as a last-ditch effort where it was mainly cleaning data but it still used python and I got it (they didn't have any other applicants).

I've been working part-time for the last 2 and a half months and I did some web scraping with beautiful soup. Then it turned out that the company names we needed from the scraping would need to be extracted from google searches and so I read some blogs and copied their code on natural language processing to help me. Now I'm automating some Tableau workbooks which has xml manipulation. Through all of this, I learned a lot but it was still just me using for loops and pandas.

I've built a basic website for a friends ebay business to learn django but it was never deployed (it just linked the product to the relevant ebay page) since it didn't compare to professional level websites you see normally. I'm doing a data science course on Coursera ( ) but it doesn't really explain much and just tells you to use this function because it does what you want. I still understand it since I've coded for this long and the data analysis makes sense because I'm studying Physics.

Sure my CV can now say NLP, machine learning, Tableau, SQL, data analysis but my knowledge is shallow. Heck, I didn't know what a dictionary was a year and a half after learning python.

So what can I do to cement my foundations and expand what I know? What will help me get a job when I graduate next year? I want to either end up in data science or software engineering but I'm leaning more towards software engineering.

r/singapore • comment
2 points • teehee7

I came from a marketing background and wanted to hop into the DS field. Took this ibm coursera course to learn and see if I really like it. Course is in python, I think it shouldn’t be that difficult for you to try as a primer since you’ve a bit of programming background.

r/cscareerquestions • comment
1 points • aesir_baldur

This is not a master's programme, but it will give you broad, comprehensive introductory knowledge about data science, and is relatively cheap. IBM Data Science Professional Certificate contains 9 courses that cover all aspects of data science and do not require any background knowledge whatsoever. There are lectures, quizzes and hands-on labs. You can finish it in about a month or two if you give it enough time, and then you would be prepared for more advanced materials. Btw, Coursera also offers master's programmes but I am not sure how much they cost, you could check them out

r/cscareers • comment
1 points • ACrispWinterDay

The specific cert doesn't really matter, but I've heard that the one from IBM is pretty decent to start,

r/croatia • comment
1 points • vulgaran

Gotovo uvijek imaju popuste i svi se kreću oko 80-90%.

Kvaliteta jako varira. Zato je najbolje prvo pogledati ocjene i recenzije (po internetu) te pogledati preview video materijale kako bi se uvjerila da je to profesionalno odrađeno.

Certifikat možeš staviti na cv ili na linkedin, no nema težinu u odnosu na, primjerice sveučilišnu diplomu. Ne šteti ubaciti, više da pokažeš poslodavcu da konstantno ulažeš u svoje znanje.

Inače, imaš na courseri od ibm-a data science tečaj koji nudi besplatne materijale za učenje. Za rješavanje ispita te dobivanje certifikata potrebno je izdvojiti 39$ (mjesečno, ovisno o tome koliko vremena ti treba za položiti sve). Usporedi pa provjeri koji ti više odgovara.

r/datascience • comment
1 points • uspharaoh

I took the IBM professional certification for Data science from Coursera! I found it helpful and affordable with lots of online resources to help you learn at your own pace. I also learned and refreshed python basics from Automating the basic stuff with python on YouTube and Udemy.

Codecademy has free courses you can get started in practicing and learning the basics of the language

r/datascience • comment
1 points • Sotus30

Right now I'm taking this course:

I did that to see if I really liked DS and was willing to change career, and I am. I have been looking for an MSc in Data Science, or and MSc in Artificial Intelligence.

On the other hand, I have a close friend that works as a Data Scientist. He is also an engineer (civil) and is convinced I don't need to take an MSc to get a data scientist job, because he was able to, and that I will learn more in an actual job. According to him, because we already know all the bases (except programming), we would be more than ready for a data job after learning how to program and getting familiar with all the software you use for DS.

So I really haven't decided yet. For now, I will continue on the course, which is really good for foundations, and am already applying for DS jobs. If I can get a job, I probably won't take the MSc, or I will look for a deeper MSc, like machine learning or deep learning. If I can't get a job in DS in the near future, I will definitely enroll for an MSc.

Good luck!

r/datascience • comment
1 points • rakshitkathawate098

Yes sure.
IBM - It is complete data science certification.

r/datascience • comment
1 points • King0494
r/statistics • comment
1 points • praetoriangourd

I was thinking of this. Not sure of its general reputation:

r/italy • comment
1 points • EdoDeo

Qualcuno ha mai seguito corsi su Coursera?

Quanto sono validi/apprezzati/calcolati una volta inseriti nel curriculum?

Il corso in questione è questo

r/learnprogramming • comment
1 points • java-monkey

r/learnprogramming • comment
1 points • kschang

Keep in mind that if you don't have ANY bachelor level experience it is unlikely the MITX program will accept you, as it is a graduate level (above bachelors) program.

The IBM Data science certificate is not enough to get a job. Trust me, I tried. I have that certificate myself through Coursera:

Not sure about the JHU certificate, but I suspect the same.

You need to get an online degree. It would be much cheaper to go to a real university. Online Bootcamp is possible, but it'd cost MORE than a real university, and you cannot get financial aid for bootcamp unlike for university or college.

r/Nepal • comment
1 points • Friendly-Raspberry69

Most work from home jobs that I have seen in the country are skill based ones and mostly tech related. That too its friends or friends of friends who have been needing something like a software or a website. There were a few posts regarding the posters wanting to learn Nepali, maybe if you can talk to them and draw up a curriculum they'd be happy to pay you if you don't charge them too expensively.

Academic ghostwriting would be nice to casually mention in an interview in the future. But, you can get certified with the courses you take. The course I mentioned above has a free certification. This one from IBM which is pretty popular has a certification at the end of the course too. ~~I think the course is free right now, but you might have to pay for the certification, I am not too sure about that.~~

Edit: The there is a 7day free trial, it is $39 per month. The course takes 3 months to complete but you can complete it in a month too.

r/Python • post
2 points • Rattix88
Career paths utilizing Python?

Hi All!

I'm looking for some assistance on the path to becoming job ready coding with Python. Thought it would be helpful to give a background on my progress. Thanks!

A few month ago I quit my sales job at a large recruitment website, and am now looking to make the transition into Software Development, Data Analysis, etc.

Reason for the change - The sales job I was at for four years was too volatile in terms of compensation, and the stress of always chasing a number was taking its toll. Looking into coding I was amazed at how many different career paths there were. I have always loved learning new things and continuing to expand my knowledge, which seems like a good trait to have for coding. After a few basic courses on Linkedin Learning I was hooked.

What I have so far - I took a few basic courses on Linkedin Learning before seeing if Python was something I wanted to invest time and money into. Once I saw it definitely was, I enrolled in the Coursera "Python For Everybody" Specialization. I am on the third class of five, "Using Python to access Web Data."

What's Next - After completing this specialization I was planning on taking IBM Data Science Professional Certificate and then Excel to MySQL: Analytic Techniques for Business Specialization. I also plan on using GitHub.

Questions - Where do these 3 completed courses put me realistically in terms of being job ready? Are there any good companies that offer paid training? What other resources should I be using to get job ready? How long does a transition like mine typically take? What job titles are good entry level roles? Any and all advice is appreciated! PM's are welcome too!

r/actuary • comment
1 points • MagnumTAreddit

I'm a career changer (worked in B2B sales for ten years) who just passed exam P and is looking to get an entry level job soon, likely later this year after passing FM.

Does anyone have any thoughts on the data science certifications available via apps like Coursera and Udemy? For example this one

I'm currently doing temp work equivalent to database administration in an attempt to build some experience and am concerned about standing out among other applicants this fall. If it helps I already know VBA, pivot tables, and a bunch of Excel tricks, just don't know if two exams and a bit of semi-relevant experience will be enough.

r/datascience • comment
1 points • bigmanAS

i am doing the IBM data science professional certificate under which there are nine courses , does it make sense to do that , i am currently studying engineering and am doing this since my country is on lockdown and i have else to do but i have always had an intrest in data science , here is the link for reference


r/learnpython • comment
1 points • moorjon

I am surprised no one has mentioned it but in my opinion, IBM Data Science Professional Cert is an all-around great option. Its $40 a month, there's a free trial, you can also audit all the courses if you want. So you can see what you are going to do before you decide if it's worth it for you or not. And if at any point math is an issue Khan Academy is a no brainer.

r/learnpython • comment
1 points • panupatc

It says in the course name it is Python Data Science Certificate. It's not just geared towards it, it's 100% focusing on the subject.

I took IBM Data Science Professional course on Coursera ( personally I'm not really a fan. Not sure how similar the EdX is but they're both IBM.

The Coursera courses tried to sound academic to the point it's really... bland... and did a terrible job explaining things. I felt one's suppose to already have learnt most of the topics of the courses from somewhere else before just stream roll this for the cert (I have 10+ years experience with Python and database prior to enrolling).

r/umsimads • comment
1 points • towardsdata

I have been enjoying 's course work. I also completed the IBM professional data science certification program through coursera as well.

r/learnprogramming • comment
1 points • chris1666

Tried any of the ML or data science classes for python ?

an example

r/datascience • comment
1 points • RustyEyeballs

Hi, I'm a Software Engineer with my Bachelors in CS looking at courses in AI but, aren't sure whether to go with a Data Science or Machine Learning Course. I see people with no programming experience going for Data Scientist jobs so, I want to play to my strengths & utilize my programming background. That said, I'm new to AI all together and, aren't sure if I'll need to learn the data mining & visualization skills from a Data Science Course.

Background: Career wise, I'm in a pretty desperate situation with little/no work history and, need to get my foot in the door.

Looking at these courses

r/datascience • comment
1 points • KlutzyCoach

Hello, I am looking for an online course at coursera for Machine learning. I have completed Jose Portilla course from udemy and many online youtube courses. Now I am looking for a course that I can add in my resume. Please suggest a course that you find really helpful for Machine learning that uses Python.

I am looking at following two courses:

  1. University of michigan course:

  2. IBM course:

As coursera needs investment I want to invest in a good course as I am limited on my budget too. Thanks!!

r/FinancialCareers • comment
1 points • branobly

I'm currently going through IBM's Data Science Professional Certificate, but more for economic analyses. It's been good so far. Udemy has several Python for Finance courses I'll be taking after IBM's, but you should also check out Columbia J School's Lede Program for data journalism (here's the actual course page). It's focused more on visualization and you have to teach yourself through it, but it'll teach you about several data viz and programming tools.

r/datascience • comment
1 points • Mefhisto1

Hi, I guess this is a fairly frequent question, although with million different answers, and that's why I'm posting it again: What DS course/specialization to take? I'm talking about a multiple-month commitment, preferably, not a few week 'crash' course.

I'm down to following:

and Udacity courses.

Any suggestions? (CS background, ~6 yrs of experience, some statistics exposure, haven't done anything since Uni, basically).

r/datascience • comment
1 points • anomalias

I am currently working as a financial auditor, and looking into changing career to data science (or data analyst). I have a bachelor's degree in Economics and Business Administration and a master's degree in Business Administration and Auditing.

I have taken some Python courses on Udemy (Jose Portilla) and Edx (MIT 6.00.1x), as well as some SQL courses. I would say im very comfortable in SQL, and decent at python. I am also very comfortable with math and statistics.

How do I showcase my skills in data science? I was thinking maybe making a personal website portfolio, and then have a section for python, a section for data science etc. In each section, let's take data science section as an example, I'll have a video of me analysing some random dataset from kaggle, cleaning it, and train test splitting it. In the python section I'll have some links to some github projects made in python (Hangman, a calculator, a to-do list etc).

Further more, I was thinking of taking these 3 specializations on coursera to supplement my lack of Data Science degree to put on my CV:

IBM Data Science Professional Certificate

Deep Learning Specialization

Data Visualization with Tableau Specialization

I know coursera specilizations dont weigh as much as a real course taken in a university, but I am spending around 3 hours on these courses and projects in weekdays, and 6-8 in the weekend, but clueless how I show my dedication in learning this to a hiring firm.

I am following this roadmap: Data Science Roadmap on GitHub, and I am familiar with all the terms used here.

Would like some feedback on this plan, or if it's unrealistic changing career. My goal is to change career in approx 1.5 years time.

I can also add, that I've been thinking about enrolling in a Computer Science degree. I wont attend lectures, only exams (will still keep my full-time job as an auditor).

And yes, I am willing to throw away a personal life for a year or two. :)

r/datascience • comment
1 points • apoptoticalex

I was looking at these programs off Coursera:

  • Hopkins (

  • IBM Intro (

  • Michigan (

  • IBM DS (

They have various estimated time lengths, which is understandable since they seem like they're pretty intense courses. I think I'd be able to handle finishing them faster than the estimated (or at least some more immediately relevant sections) since I've been juggling working full-time and being a full-time MS student... But idk.

Are there other Intro to DS courses you'd recommend? There are some other I've found here-and-there online, but I don't know how well they prepare people...

r/datascience • comment
1 points • RexLaurus

Hello everyone,

I'm trying to get into a data science from from a Electrical Engineering background.

I recently graduated and have experience coding in matlab and python (and others). I've completed a couple of the 365datascience courses that were free for a while as well as some of the kaggle micro courses.

I'm trying to find something a little more challenging and have been looking at Coursera specializations for way too long now, seems like everyone of those has one major drawback and I'm having a lot of trouble deciding between them. In short:

- John hopkins : Uses OCTAVE and from what I understand Python is the way to go.

- Standford (Andrew NG) : Said to be very theoretical, doesn't prepare you to make your own projects.

- U Michigan: Said to be outdated, problems with exercises scoring, bad reviews all around.

(This information is based of reading reviews and reddit posts so I may well be wrong. )

I've also found University of Washington's and IBM's that seem to have good reviews but I'm not sure nonetheless.

Can anyone point me towards the best one of these (or others) considering I have previous coding experience and know some of the very (very) basics of Python DS libraries?

r/datascience • comment
1 points • soup_or_natural

For background, I have my bachelor's degree in Urban Studies/Geography and am currently working as a property accounting clerk. My long term goal is to work in the field of data analytics. I am looking to get some education in the area to allow me to get some experience to get an entry-level position. I understand I will have to create a portfolio to show the skills I have and am completely willing to put the time in. I have some statistics background from my degree. I am looking for any recommendations, or opinions on the below programs. I am hoping to keep my costs under 5k CAD max but can likely figure it out otherwise. Thanks in advance for any assistance!! MicroMasters in Analytics - Georgia Tech Data Analytics, Big Data, and Predictive Analytics Certificate - Ryerson University IBM Data Science Professional Certificate - Coursera Data Analysis and Interpretation Specialization - Coursera (Wesleyan) Data Analytics Certificate - BrainStation Professional Certificate in Data Science - edX (HarvardX)

r/GradSchool • comment
1 points • redpapoula

Hi, astrophysicist here. If I can suggest something, it would be any degree in astronomy followed by courses (MOOC, certificates etc) in computer sciences (data analysis, machine learning etc). There are many online of these and since everything is done with a computer you can easily manage from home. Some suggestions are below, all 100% by distance learning:

[Based on your dream job, I cannot recommend this highly enough] MSc. in Astrophysics (Liverpool John Moores University):

IBM Data Science Certificate:

IBM AI certificate:

Microsoft Professional Programs (many options of field):

If you already are an anthropologist, I believe a MSc. in Astro+Data Science skills would make you a very strong candidate. The first missions to Mars are being deployed in this decade, so it is paramount that we have people that understand space and the human being as well.

As the amount of data we create grow (regardless of the field of science), analyzing data is essential for people working in science. So after the MSc. I'd take some of the certificates above, or at least include some data analysis in your Master's thesis. Even if you decide not to stay in academia/research, these skills can get you to a bank or to a multinational.

I hope this helps a bit and congratulations for your baby! I wish you and your family a nice journey!

r/stockholm • comment
1 points • BedourAlshaigy

You have my sympathy.

The process of job hunting can be frustrating, disheartening and draining at times, especially when funds are limited. It can take a toll on your self-esteem and psyche which definitely doesn’t help when you’re looking for a job as it clouds your judgement. As someone who’s been in a similar situation (then managed to get job interviews in Sweden and other countries whilst in the UK) allow me to be your silver-lining..

CONGRATULATIONS! You already have a lot going on for you! You have an MSc from KTH! Not only is it a reputable university but there are several advantages, for example, your lecturers probably have lots of contacts in the industry and can put you in touch with the right people. Also:

- Take advantage of the Careers Office at your university! I looked it up ( and it seems that they offer several services (CV drop in, careers fair, career coaching, etc..), not only are they free, but they’re also the best people who would know how to market the subjects/degree that you obtained. They also know what the industry is exactly looking for and how to format it for the Swedish job market (they probably also have contacts). Present them your CV/LinkedIn page (trust me there is always room for improvement). As a matter of fact, have a look at similar CVs /LinkedIn pages for successful people in your field online and see how they present/market themselves, adapt it to yours, then take it to the university for additional editing.

- If you have additional skills/achievement that you want to talk about but won’t fit in a CV/LinkedIn (e.g. your mechanical engineering, design and drawing skills) or you simply want to elaborate on something then build a personal webpage, something very simple (check the instructions here: or watch YouTube videos), it shows that you are keen on learning new things to add to the set of versatile skills that you have (this is handy especially if you want to join the tech field). You can also post a 3 min video about yourself describing how you applied your degree in your internship and what you’re looking for.

- You have internship experience! Have you tried contacting them for vacancies? Perhaps they can refer you to other people if not.

Now for some practical advice (your mileage may vary):

- Don't apply for a job for the sake of applying for a job. Not only will recruiters know it but the quality of the CV/Cover letter won't be as good as someone who has put a lot of thought and effort into theirs. Consider this as an opportunity to look for a career that you actually want to pursue. This way you'll focus your energy on jobs that you actually want and you'll be more motivated. Remember applying for jobs is a job itself so it does take a lot of time. Wouldn't you rather spend that time in a beneficial manner?

- Do your homework THEN go to career fairs (at your university or other recruiting events: you can find them if you sign up to online newsletters/groups/reunions/conferences/meetups). Don’t just show up, it’s called a job hunt for a reason! Research the companies that are going to be present, check out vacancies similar to your background, read the job description, match your skill sets to the job description, so when you show up at the event you’re already prepared with questions about the particular vacancy. Ask them engaging questions e.g. talk to me about how you joined the company and your career progression (or [insert name here] employee career journey, if you can find the name of someone in the company with similar background to yours), or tell me more about the company’s strategy (something very specific – I don’t know about business but I can do it in my field so find your angle). Or you can ask other questions like things to look for when applying, how to make up for a missing particular requirement. Take note of their name and send them a personalised thank you email afterwards with a CV attached. Even if they don’t have the vacancy you’re after, ask them how you can contribute to the company using your skill sets or ask them to contact you for future vacancies. My point is, make a memorable interaction that leaves a good impression, they’re probably talking to 100 others, show them that you’re proactive, goal-oriented, and motivated.

- Consider every opportunity that you're out and about as a networking opportunity/interview prospect. The reason I got some interviews in Sweden was because I put myself out there (one was chatting to someone on a plane and another in a restaurant). Since you live in Stockholm you already have an advantage, office parties season is around the corner and many will frequent bars or social spaces, if an opportunity presents itself take it.

- Since you're looking for a job to support yourself consider working in a cafe/restaurant that is frequented/used by startups or in close proximity to companies (e.g. lunch hang out places for employees). You could practice your Swedish there whilst hearing about vacancies via word of mouth/connections. If the "A-kassa" application works out for you then spend more time looking for jobs whilst volunteering for non-profit organisations (they always need someone), you'll get a chance to practice your Swedish and get more contacts. It'll also look great on your CV.

- When I was in Stockholm for a week I maximised my efforts and sent a handful of personalised emails (that looked like covered letters) requesting a semi-formal discussion about careers prospectives to specific companies that I wanted to join (small-medium size) and I sent them straight to the managers (bypassed HR) and it worked in one instance. In another, I was referred to another company by that person. Some might think this approach is a little bit too forward, but you can be very tactical about it. The feedback that I received that they liked my "go-getter attitude" and research skills.

- Learning a new skill is useful but it takes time so you have to be very selective about the skill that you are learning (because you're busy with learning Swedish and applying for jobs, that's a lot). Since you are considering a job in the tech industry consider taking a course that makes you more desirable and with a less steep learning curve. The one that comes to mind is IBM Data Science Professional Certificate (, it's self-paced, contains several mini-courses that you can take, here is info from the FAQ:

"The certificate requires completion of 9 courses. Each course typically contains 3-6 modules with an average effort of 2 to 4 hours per module. If learning part-time (e.g. 1 module per week), it would take 6 to 12 months to complete the entire certificate. If learning full-time (e.g. 1 module per day) the certificate can be completed in 2 to 3 months. This certificate is open for anyone with any job and academic background. No prior computer programming experience is necessary, but is an asset. Familiarity working with computers, high school math, communication and presentation skills. For the last few courses knowledge of Calculus and Linear Algebra is an asset but not an absolute requirement."

And enrollment starts today! (I don't work for Coursera, I am just passionate about CS education - so you can contact me if you have questions about the course or other courses you consider taking!).

Lastly I recommend you getting your hands on this book (What Color Is Your Parachute( ), whilst its targeting American audience, it had some really good practical advice that I totally got on board with (check your local/uni library if they have it).

I just realised that my answer is way long and there might be instances when I went off on a tangent. So tl;dr: you have a good degree, work experience and skill sets - people don't know about them. Make them know.

If you have further questions, need assistance or just want to vent then I'm a msg away :)

Best of luck!

r/datascience • comment
1 points • Oberyn12

Hello everyone,

I'm a medical doctor with a few years of clinical experience, currently working as part of the Medical Knowledge team in a big Medical AI company. I also have an additional MSc from the London School of Economics (LSE).
I've been passionate about digital health, data science and programming for the past few years. I learned Python on my own (not for work) and had some limited experience with STATA.

I'm now looking to apply for a "graduate" programme in Health Data Science at a top-3 Pharma company and would love to get your opinion on what would be the best and most credible (paid) Data Science online certification/specialization, in order to make up for my somewhat unrelated background. I've been lurking and some that came up are:

I have no experience with formal online education and certifications, so I have no idea whether attending one of these makes sense/is worth the cost in my situation. I would obviously be getting the same amount of material from free sources, but I feel my resumè needs some kind of formal certificate given my background in order to get a foot in the door.

Thank you in advance, looking forward to reading your opinions!