23FA - The Tools for Data Science: Notebooks and Versioning

This course provides learners with the necessary skills to work effectively with data science tools, specifically Jupyter Notebooks and versioning systems. Participants will gain a fundamental understanding of how Jupyter Notebooks function as an interactive computational environment for creating, sharing, and documenting code, and how it can be leveraged to analyze large datasets in Public Health. It will also cover version control systems, such as Git and key data science libraries, including pandas for data manipulation and analysis, and matplotlib for data visualization, as well as Anaconda, a popular distribution of Python that includes Jupyter Notebooks and key data science libraries.