Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

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

The Unsupervised Learning Workshop: Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Applied Unsupervised Learning with Python: Discover hidden patterns and relationships in unstructured data with Python

SQL in 10 Minutes, Sams Teach Yourself: Edition 4

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

The The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition, Edition 2

SQL the One: Microsoft SQL Server Interview Guide

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

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

What Is Data Science?

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

SQL Database Programming (Fifth Edition)

Python: Master the Art of Design Patterns

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Building Data Science Teams

Data Structures and Algorithms

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

Advanced Analytics with Spark: Patterns for Learning from Data at Scale, Edition 2