You're reading from Essential Statistics for Non-STEM Data Analysts Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

Product type Paperback

Published in Nov 2020

Publisher Packt

ISBN-13 9781838984847

Length 392 pages

Edition 1st Edition

Languages

Python

Concepts

Data Science

Author (1):

Rongpeng Li

Preface

1. Section 1: Getting Started with Statistics for Data Science

2. Chapter 1: Fundamentals of Data Collection, Cleaning, and Preprocessing FREE CHAPTER

3. Chapter 2: Essential Statistics for Data Assessment

4. Chapter 3: Visualization with Statistical Graphs

5. Section 2: Essentials of Statistical Analysis

6. Chapter 4: Sampling and Inferential Statistics

7. Chapter 5: Common Probability Distributions

8. Chapter 6: Parametric Estimation

9. Chapter 7: Statistical Hypothesis Testing

10. Section 3: Statistics for Machine Learning

11. Chapter 8: Statistics for Regression

12. Chapter 9: Statistics for Classification

13. Chapter 10: Statistics for Tree-Based Methods

14. Chapter 11: Statistics for Ensemble Methods

15. Section 4: Appendix

16. Chapter 12: A Collection of Best Practices

17. Chapter 13: Exercises and Projects

18. Other Books You May Enjoy

Project suggestions

These projects will be classified into three different categories, as listed here:

Elementary projects: Elementary projects are ones where you only need knowledge from one or two chapters and are easy to complete. Elementary projects only require that you have basic Python programming skills.
Comprehensive projects: Comprehensive projects are ones that require you to review knowledge from several chapters. Having a thorough understanding of the example code provided in this book is required to complete a comprehensive project.
Capstone projects: Capstone projects are projects that involve almost all the contents of this book. In addition to the examples provided in this book, you are expected to learn a significant amount of new knowledge and programming skills to complete the task at hand.

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