Think Stats: Exploratory Data Analysis, Edition 2

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

Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists

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

Building Data Science Teams

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

What Is Data Science?

The Evolution of Data Products

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

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

Domain Modeling Made Functional: Tackle Software Complexity with Domain-Driven Design and F#

The Model Thinker: What You Need to Know to Make Data Work for You

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

Data Structures and Program Design Using C++

DATA SCIENCE WITH MYSQL, SQLITE, POSTGRESQL, AND SQL SERVER USING PYTHON GUI

FOUR PROJECTS: PREDICTION AND FORECASTING USING MACHINE LEARNING WITH PYTHON

Disruptive Possibilities: How Big Data Changes Everything

Interactive Dashboards and Data Apps with Plotly and Dash: Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

Data Jujitsu: The Art of Turning Data into Product

DATA ANALYSIS USING JDBC AND SQLITE WITH OBJECT-ORIENTED APPROACH AND APACHE NETBEANS IDE