An Introduction to Data Science

An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudio® platform to make data science welcoming and accessible for all learners. After introducing the basics of data science, the book builds on each previous concept to explain R programming from the ground up. Readers will learn essential skills in data science through demonstrations of how to use data to construct models, predict outcomes, and visualize data.

• Understanding Variation: The Key to Managing Chaos
• Modern Database Management (12th Edition)
• Modern Database Management by Pearson
• Introduction to Data Mining
• Loose-leaf Version for Discovering Statistics 3e & LaunchPad for Discovering Statistics 3e (Twelve Month Access)
• An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
• Introduction to Data Mining
• Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
• Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data