This course teaches the crucial skills to solve chemistry and chemical engineering problems using data. Focus is on statistical methods, exploratory data analysis, and Python programming. Students will learn data analysis by working with real-life datasets from diverse areas such as reaction kinetics, process monitoring, material properties, and spectroscopy. Learn about problem framing, visualization, building interpretable baseline models, and more. The course culminates in a final poster presentation. Some background in programming and statistics is recommended.