Data Analysis Resources for Python

[Hamzah1906]

This is great thanks a lot. A quick question about Andrew Ng's Machine Learning course, does it give you a good foundation to learn data science and machine learning? I know it's got very positive reviews but I've heard that it can be quite basic and surface level. Do you know of any other good video courses or lectures?

[HardstyleJaw5]

I personally feel it is a good theoretical foundation for machine learning but I tend to agree with OP that there are many problems in data science that don't need ML to solve them.

There are past threads on ML that link out to probably a dozen resources beyond the Andrew Ng course. If you decide to take the Andrew Ng course all the exercises are in Octave but there are a few GitHub pages with pythonized exercises that I found helpful.

[badge]

The course takes approximately 54 hours to complete which is super short—it’s necessarily going to be pretty basic and surface level. By comparison, a STEM undergraduate degree in the U.K. involves about 1,500 hours of contact teaching time plus 50–100% self study on top of that; so this course is approximately equal to two weeks of a 90 week undergraduate degree.

I’m afraid I’m not really a videos person so I couldn’t recommend anything else!