profjsb/python-seminar
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
This course helps quantitative researchers and graduate students learn to use Python for scientific computing. It covers everything from managing large datasets and databases to applying machine learning, image processing, and statistical analysis. Participants will gain practical skills to build robust codebases for their research, starting with foundational Python knowledge and progressing to advanced data science techniques.
333 stars. No commits in the last 6 months.
Use this if you are a graduate student or researcher in a quantitative field who wants to master Python for your data science and scientific computing needs, and you already have some basic Python experience.
Not ideal if you are completely new to Python programming or are looking for a purely theoretical overview without hands-on coding projects.
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Apr 25, 2022
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