This course focuses on analyzing complex, real-world datasets to make predictions using statistical and machine learning methods. It integrates five essential facets of data investigation: (1) Data Collection – wrangling, cleaning, and sampling to prepare suitable datasets; (2) Data Management – ensuring fast and reliable data access; (3) Exploratory Data Analysis – generating hypotheses and building insights; (4) Prediction and Statistical Learning – applying models to make accurate predictions; and (5) Communication – presenting findings effectively through visualizations, narratives, and interpretable summaries. The course emphasizes practical, hands-on approaches to mastering these critical data science skills.