At The Data Incubator we pride ourselves on having the latest data science curriculum. Much of our course material is based on feedback from corporate and government partners about the technologies they are looking to learn.
However, we wanted to develop a more data-driven approach to what we should be teaching in our data science corporate training and our free fellowship for masters and PhDs looking to enter data science careers in industry.
This report is the second in a series analyzing data science related topics. We thought it would be useful to the data science community to rank and analyze a variety of topics related to the profession in a simple, easy to digest cheat sheet, ranking, or report. It’s our way of practicing what we teach.
This report ranks Python packages for data science, and we're hoping to stir the pot a bit and get our colleagues to join the discussion.
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