In this project-based Python data science course, students will explore the Python language and its use
in data analysis. Students will gain hands-on experience applying statistical methods through exploratory data analysis, data wrangling, and data visualization with libraries such as pandas and the NumPy library.
W1 Harris 2020 Array Programming with NumPy (pdf)
DownloadW1 McKinney 2010 Data Structures for Statistical Computing pandas (pdf)
DownloadW2 Gyorodi 2022 MongoDB vs Document MySQL (pdf)
DownloadW2 Hart 2016 Ten Simple Rules Digital Data Storage (pdf)
DownloadW3 Wickham 2014 Tidy Data (pdf)
DownloadW4 Rougier 2014 Ten Simple Rules Better Figures (pdf)
DownloadW4 Crameri 2020 Misuse of Colour (pdf)
DownloadW5 Seabold Perktold 2010 statsmodels (pdf)
DownloadW6 Baillie 2022 Ten Simple Rules Initial Data Analysis (pdf)
DownloadW8 Sandve 2013 Ten Simple Rules Reproducible Research (pdf)
DownloadW8 Wilson 2017 Good Enough Practices Scientific Computing (pdf)
DownloadCorey Schafer
Corey Schafer
Corey Schafer
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