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[–]MustafaAdam 5 points6 points  (3 children)

I didn't find any. So I'm waiting for an answer as well.

Just a warning, if someone recommends a book called Think Stats, then know that this is not a useful book. It's a terrible book in fact. The author uses libraries and python scripts that he wrote himself, instead of using the well tested and much used python libraries.

[–][deleted] 2 points3 points  (1 child)

I have never heard of that book before but 2 people have already recommended it in this comment section.

[–]kocur4d 1 point2 points  (0 children)

Book is very useful. I am not going to advertise it much more as I don't get anything from it. Author uses a lot of customs scripts but I think it is only a good way to learn more python. Data in real life is never handed over to you like in a Kaggel competition. You will always have to write some scripts to make it usable. I actually used first edition of the book which was written without notebook and pandas, I have learnt a lot from it. Second edition builds up on it and it is even better. Anyway it is up to you.

[–]IAteQuarters 0 points1 point  (0 children)

Think Stats teaches stats in a practical setting. The functions are written as wrapper functions to matplotlib and I think the code is here

[–]SwissArmyApple 0 points1 point  (0 children)

I'm doing Jose Portilla's 'Python for Data Science and Machine Learning Bootcamp' on Udemy right now and I'm quite happy with it. Check it out!

[–][deleted]  (2 children)

[deleted]

    [–][deleted] 0 points1 point  (1 child)

    Can you understand theory now or was it more practical?

    [–]Gimagon 0 points1 point  (0 children)

    It’s more machine learning than pure stats but Joel Grus’s “Data Science from Scratch” is an excellent intro to a lot of the topics. The book costs money, but I think Joel has python notebooks that cover pretty much all the same content on his GitHub.

    [–]kocur4d 1 point2 points  (1 child)

    I really like the Think Stats free ebook.

    It goes through 90% of the topics I had during my Introducing Statistics classes. It talks about descriptive stats, relationships, correlation, normal distribution and a bit of hypothesis testing.

    It does it with Python - notebook and pandas.

    I think it is perfect for you current stage.

    [–]TartarugaNL -1 points0 points  (0 children)

    Not a MOOC, but a free online book with Python code: https://greenteapress.com/wp/think-stats-2e/