# Statistics Foundations: Understanding Probability and Distributions

We live in a world of big data, and someone needs to make sense of all this data. In this course, you will learn to efficiently analyze data, formulate hypotheses, and generally reason about what the ocean of data out there is telling you.

## What you'll learn

We live in a world of big data: huge amounts of data generated by social networks, governments, consumers and markets. Someone needs to make sense of all this data. In this course, Statistics Foundations: Understanding Probability and Distributions, you will learn the fundamental topics essential for understanding probability and statistics. First, you will have an introduction to set theory, a non-rigorous introduction to probability, an overview of key terms and concepts of statistical research. Then, you will discover different statistical distributions, discrete and continuous random variables, probability density functions, and moment generating functions. Finally, you will use key distribution measures such as mean and variance, and explore topics of covariance and correlation. By the end of this course, you’ll be able to look at data and reason about it in terms of its descriptive statistics and possible distributions.

Course Overview
2mins
Introducing the Concept of Probability
80mins
Calculating the Conditional Probability of Events
40mins
Understanding Random Variables and Distributions
48mins
Introducing the Concept of Expectation
63mins
Looking at Some Special Statistical Distributions
35mins

## About the author

Dmitri Nesteruk is a quantitative analyst, developer, speaker, and podcaster. His interests lie in software development and integration practices in the areas of computation, quantitative finance, and algorithmic trading. He is an instructor of an entry-level course in Quantitative Finance. His technological interests include C#, F#, and C++ programming as well high-performance computing using technologies such as CUDA. He has been a C# MVP since 2009.