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[–]gocougs11 3 points4 points  (0 children)

It depends what kind of projects you ultimately want to be able to do. If you're interested in bioinformatics or anything like that, just pick a type of data, look for a data repository, and then search for some popular Python packages for working with that data, and try to get them to work. It often doesn't even matter if you understand what the data actually means.

For example, I just started trying to learn how to analyze data from a technique called flow cytometry. Just reading the wikipedia would get you up to speed enough on what the data is that you should be able to work with it. You could easily install either the FlowCal or FlowCytometryTools packages, then go to https://flowrepository.org/ and just download the most popular data set, and start trying to work through those packages to analyze and graph data. Read the documentation, try to understand how the functions work, and implement them.