Principles of Data Science

⌕

Contents

Preface
Unit 1 Introducing Data Science and Data Collection
1. Chapter 1 What Are Data and Data Science?
2. Chapter 2 Collecting and Preparing Data
Unit 2 Analyzing Data Using Statistics
1. Chapter 3 Descriptive Statistics: Statistical Measurements and Probability Distributions
2. Chapter 4 Inferential Statistics and Regression Analysis
Unit 3 Predicting and Modeling Using Data
Unit 4 Maintaining a Professional and Ethical Data Science Practice
Appendix A Appendix A: Review of Excel for Data Science
Appendix B Appendix B: Review of R Studio for Data Science
Appendix C Appendix C: Review of Python Algorithms
Appendix D Appendix D: Review of Python Functions
Answer Key
Index

←

Chapter 3 Descriptive Statistics: Statistical Measurements and Probability Distributions

Initializing...

Chapter 3 Descriptive Statistics: Statistical Measurements and Probability Distributions