Part 3:Fundamentals of Mathematical Statistics in R

As we embark on the third part of this book, we transition from the mathematical foundations explored in Part 2 to the realm of advanced statistical methods and model building. While the preceding parts laid the groundwork in terms of essential statistics and mathematical underpinnings, this part is designed to push your capabilities to a more advanced level, all while utilizing the power of R for practical implementations.

By the end of this part, you’ll possess a robust set of advanced statistical and modeling skills. This part provides the advanced knowledge and hands-on experience you need to venture into more advanced topics in data science.

This part has the following chapters:

• Chapter 10, Probability Basics
• Chapter 11, Statistics Estimation
• Chapter 12, Linear Regression in R
• Chapter 13, Logistic Regression in R
• Chapter 14, Bayesian Statistics