Data acquisition (APIs, scraping, databases), data cleaning and wrangling, exploratory data analysis, descriptive and inferential statistics, hypothesis testing, data visualization (static and interactive), SQL fundamentals, experiment design, A/B testing, reporting, and reproducibility practices.
