# Probability

Jay

Published

6 Courses

## Overview and objectives

In this course we'll focus on probability theory and move towards how to tackle different types of probability questions.

## Audience

The pre-requisites for this course involve basic understanding of probability and statistics. Some concepts may be difficult without a college level understanding of math.

## Courses

Courses in this learning path are:

### Basic Probability

Probability Theory is the branch of mathematics that deals with uncertainty, underpinning all of statistics and machine learning.

4 of 10 Completed

### Discrete Distributions

All areas of study in math can roughly be divided into two camps: discrete mathematics and continuous mathematics. Perhaps the best way to describe the difference between the two is to talk about what each of the branches means by "number."

3 of 12 Completed

### Continuous Distributions

Continuous probability distribution: A probability distribution in which the random variable X can take on any value (is continuous).

3 of 6 Completed

### Multivariate Distributions

Multivariate distributions show comparisons between two or more measurements and the relationships among them. For each univariate distribution with one random variable, there is a more general multivariate distribution.

2 of 9 Completed

### Sampling Theorems

Thus far in this course, we have considered random variables under an idealized scenario where we know the distribution of the random variable.

3 of 7 Completed

### Probability Questions: Hard

Let's tackle harder probability questions you'd expect to see from quantitative finance or trading interviews.

4 of 5 Completed

**Good job, keep it up!**

## 38%

**Completed**

You have **30** sections remaining on this learning path.