Acquire, clean, and manipulate real-world data using Python libraries, APIs, and databases, and perform exploratory data analysis and visualization.

Build, evaluate, and interpret statistical and machine learning models to make predictions and draw inferences from complex datasets.

Apply best practices in hypothesis testing, A/B testing, and model validation to solve practical problems and communicate results effectively.