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Essential Statistics for Non-STEM Data Analysts

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

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781838984847
Length 392 pages
Edition 1st Edition
Languages
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Author (1):
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Rongpeng Li Rongpeng Li
Author Profile Icon Rongpeng Li
Rongpeng Li
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Table of Contents (19) Chapters Close

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

Chapter 13: Exercises and Projects

This chapter is dedicated to exercises and projects that will enhance your understanding of statistics, as well as your practical programming skills.

This chapter contains three sections. The first section contains exercises that are direct derivatives of the code examples you saw throughout this book. The second section contains some projects I would recommend you try out; some of these will be partially independent of what we covered concretely in previous chapters. The last section is for those of you who want to dive more into the theory and math aspects of this book. Each section is organized according to the contents of the corresponding chapter.

Once you've finished this final chapter, you will be able to do the following:

  • Reinforce your basic knowledge about the concepts and knowledge points that were covered in this book
  • Gain working experience of a project's life cycle
  • Understand the math and theoretical...
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