For data analyst: pandas data wrangling (Chapters 7-12), visualization (Chapters 14-18), descriptive statistics (Chapter 19), and communication skills (Chapter 31). The biggest gap is SQL, which the book didn't cover in depth. - For data scientist: everything the analyst needs, plus hypothesis testi