Statistics for Data Science and Analytics

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

Introductory Statistics and Analytics: A Resampling Perspective

Data Science from Scratch: First Principles with Python, Edition 2

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R, Edition 2

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

Responsible Data Science

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, Edition 3

Modern Statistics: A Computer-Based Approach with Python

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Industrial Statistics: A Computer-Based Approach with Python

Hands-On Programming with R

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

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

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

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

Statistics Hacks: Tips & Tools for Measuring the World and Beating the Odds