In this new course, I will build upon my previous course, "Probability," which was based on John Rice's textbook. In that course, I covered roughly the first half or one-third of the book.

In this new course, "Mathematical Statistics: Part I," I will continue by teaching Chapter 6 and Chapter 8, which are the fundamental building blocks of statistics. These chapter provide basics of statistics, sampling, and point estimation. You’ll learn how to derive estimators and understand their properties, such as bias, consistency, and efficiency. This is the first course in a series of three aimed at covering the remaining chapters of this textbook.

This course, and the entire series, are fundamental for scientists who want to gain a rigorous understanding, develop intuitive insights, and learn practical applications of Mathematical Statistics. It is essential for scientific fields and especially critical for those pursuing machine learning.