You've probably heard about machine learning, artificial intelligence, etc. It's an integral part of data science. So we'll teach you the basics about ML: the process, formulating a problem in a machine learning setting, feature generation, model selection and evaluation, and how to interpret results before eventually deploying the models.
For a more detailed coverage of machine learning for social good and policy, you can take a look at lectures for the Machine Learning and Public Policy class.
We have a few overview topics in this guide: