This course focuses on the analysis of messy, real-life data to perform predictions using statistical and machine learning methods. Material covered integrates the five key facets of an investigation using data: data collection—data wrangling, cleaning, and sampling to get a suitable data set; data management—accessing data quickly and reliably; exploratory data analysis—generating hypotheses and building intuition; prediction or statistical learning; and communication—summarizing results through visualization, stories, and interpretable summaries. Students who have previously completed CSCI E-107 or CSCI E-109 (both offered previously) may not count CSCI E-109a or CSCI E-109b toward a degree or certificate.