Statistics for Data Science and Analytics

Statistics in a Nutshell: A Desktop Quick Reference, Edition 2

Introductory Statistics and Analytics: A Resampling Perspective

Responsible Data Science

Observability Engineering: Achieving Production Excellence

Modern Statistics: A Computer-Based Approach with Python

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

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

Industrial Statistics: A Computer-Based Approach with Python

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, Edition 3

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Forecasting: principles and practice

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining, Edition 4

Google BigQuery Analytics

Continuous Integration and Delivery with Test-driven Development: Cultivating quality, speed, and collaboration through automated pipelines (English Edition)

Apache Spark Graph Processing

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, Edition 3

Disruptive Possibilities: How Big Data Changes Everything

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data