Data Science from Scratch: First Principles with Python

Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG

SQL Pocket Guide: A Guide to SQL Usage

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

Information Theory, Inference and Learning Algorithms

SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

Machine Learning System Design: With end-to-end examples

Star Schema The Complete Reference