I know this is really open-ended, but I would like to know some resources for learning what is used in Quantopian (more specific the statistics used in the research phase). I did watch the lecture series, but I find it difficult to understand, even though I have a decent knowledge of Python and its data science packages. Thanks in advance.
Where did you learn everything that you use in the process of creating an algorithm?
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