Data analysis resources

Machine Learning for Social Justice is best performed in collaboration with Black and Indigenous People of Color (BIPOC). Below I have listed some organizations that connect data scientists with social scientists and other experts on BIPOC justice issues.

Programs to connect social scientists and data scientists

• Statistics for Social Change

• DataKind

• Statistics without Borders (American Statistical Association)

• Solve for Good

• Amnesty Decoders (Amnesty International)

Textbooks and educational resources

• Python for Data Analysis (McKinney)

• The Art of Statistics: Learning from Data (Spiegelhalter)

• R for Data Science (Grolemund, Wickham)

• Advanced Data Science (Jeff Leek, JHU)

• Basic data analysis techniques every data analyst should know, using Python (Medium)

Programming and data analysis tools

• Github

• Google's collaboratory

• Jupyter notebooks

• Python's Scikit-Learn

• Python's StatsModels

• Python Pandas

• Python's MatPlotLib

• Microsoft's Azure InterpretML

• Overleaf LaTeX editor IW Template