In our Probability: Fundamentals course, you will gain critical understanding of the mathematical concepts that underlie a lot of data science work.

Working through the course, you’ll use your Python programming skills and the statistics knowledge you’re learning to estimate empirical and theoretical probabilities. You’ll learn the fundamental rules of probability, and then work to solve increasingly complex probability problems.

Finally, you’ll learn about counting techniques like permutations and combinations before synthesizing all your new knowledge in a guided project building the logic for a mobile app that helps gambling addicts more accurately estimate lottery odds to help them overcome their addiction.

By the end of the course, you’ll understand the difference between theoretical and experimental probability. You’ll have experience calculating the probabilities for a variety of different events, and you’ll be able to calculate the number of permutations and combinations possible in experiment outcomes.

By the end of this course, you'll be able to:

## Learn Probability Fundamentals

### Estimating Probabilities

Learn to estimate empirical and theoretical probabilities

### Probability Rules

Learn about the fundamental probability rules

### Solving Complex Probability Problems

Learn to solve complex probability problems

### Permutations and Combinations

Learn about the most important counting techniques

### Mobile App for Lottery Addiction

Practice using probability fundamentals to help contribute to the development of a mobile app