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:

• Estimate theoretical and empirical probabilities.
• Understand the fundamental rules of probability.
• Understand combinations and permutations.