Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

The Art of Statistics: How to Learn from Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Python All-in-One For Dummies (For Dummies: Learning Made Easy)

Data Science from Scratch: First Principles with Python

Learning SQL: Generate, Manipulate, and Retrieve Data

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh