Happy Friday! We frequently hear from community members that they are interested in learning more about how to become a data scientist and how to have a successful career in data & AI:
Hi, I'm wanting to change careers and get into data science (UK if it matters). I've been a software engineer for approaching 4 years now and also have a physics Ph.D., so I've got the mathematical and programming background to get through learning materials reasonably quickly. I've also now completed two Coursera courses:
Johns Hopkins University's "Data Science Specialization"
Andrew Ng's "Machine Learning"
These have given me some experience with the R and Octave languages, although I'm aware that I should get some Python and whatever else under my belt (C++ is by far my most familiar language).
I'm hoping for some advice on what my next move should be, e.g. what would be a good online course to tackle next - there are so many courses out there, so many ''top 10 courses" articles... I just don't know what the next one should be.I also keep wondering whether those courses have already covered (in a foundational/conceptual sense) most of what a data scientist uses, and perhaps I should now be concentrating more on putting those concepts into practice (rather than going through more video lecture courses).
What are some of the essential skills for a data scientist?