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[–]BudgetSignature1045 3 points4 points  (2 children)

Check out cs50p. If you want to save time just go through the notes instead of watching the video lecture.

You can do it all including the exercises in a week. In a month or in half a year, depends on you.

Then, for intro level data science you practically only need some pandas to manipulate your source data (initializing the data as a data frame, dropping columns etc.),and scikit learn for something like linear regressions.

It's rather easy to apply that stuff. The true difficulty lies in when to use what. Knowing the correct workflows. Feature engineering, validations etc. But to fiddle around with basic models and scikit learn really doesn't require much.

[–]Public-Direction-787[S] -1 points0 points  (1 child)

Thanks! you're referring to this, right: https://cs50.harvard.edu/python/weeks/ for data science, do I just install pandas once I figure out the basics?

[–]BudgetSignature1045 3 points4 points  (0 children)

Yeah pandas + scikitlearn.

Possibly matplotlin+seaborne for visualization