An Introduction to Data Science 1st Edition, (Ebook PDF) – Digital Instant Dowload.
Product details:
- ISBN-10 : 150637753X
- ISBN-13 : 978-1506377537
- Author:
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.
Table of contents:
- 1. Introduction: Data-Analytic Thinking
- 2. Business Problems and Data Science Solutions
- 3. Introduction to Predictive Modeling: From Correlation to Supervised Segmentation
- 4. Fitting a Model to Data
- 5. Overfitting and Its Avoidance
- 6. Similarity, Neighbors, and Clusters
- 7. Decision Analytic Thinking I: What Is a Good Model?
- 8. Visualizing Model Performance
- 9. Evidence and Probabilities
- 10. Representing and Mining Text
- 11. Decision Analytic Thinking II: Toward Analytical Engineering
- 14. Conclusion
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