Data Science training?

Question

Python

There is an interest in machine learning and data science.
Decided to start with linear algebra and python.
Actually questions:
1. How much time per day to devote to linear algebra and how to study it on your own? At the moment I spend 2-3 hours on linear algebra. per day, and I don’t see much result. I study according to the book by G. Strang "Linear Algebra and Its Applications", although at the university there were no particular difficulties with solving problems. There are also a couple of books: Tyrtyshnikov "Matrix Analysis", Gantmakher "Theory of Matrices" and Kostyrkin and Manin "Linear Algebra and Geometry"
2. How to learn python correctly? I study Lutz and solve problems on codewars and hackerrank. is that enough?
3. What can you advise on the development in this direction.

Answer 1

1. How much time per day to devote to linear algebra and how to study it on your own?

It doesn’t matter how much time to devote, it is important to understand (not to remember specific facts, namely to understand “what and why”).
Here is an opinion (one of many) about what is needed from mathematics:
https://habr.com/en/post/432670/
More than. But in fact, Data Science will need the BASICS of Python plus the appropriate libraries, primarily Numpy, Matplotlib, Scipy, Pandas. The first one needs to be understood (!) Before moving on to practical tasks, the last three, as well as Scikit-Learn and Tensorflow, can be analyzed in parallel with Data Science itself (more precisely, with Machine Learning, because, for example, Data Engineering is a separate topic altogether).
But! It must be understood that Machine Learning is not programming in Python (or any other programming language). This is a separate science. And everything that is listed above is just a light "eyeliner" to the topic.

Answer 2

First, learn the basics of statistics, for example on stepik - https://stepik.org/course/76
Next, start some kind of ml course (or a book, but if you start a course, you still have to go to books), if you feel that there are gaps in mathematics, learn math, you feel that there are problems in statistics - learn statistics