Course overview
In this course, you’ll learn the difference between theoretical and experimental probability, and you’ll calculate the probabilities for a variety of different events. You’ll also learn the number of permutations and combinations possible in experiment outcomes.
You’ll apply this knowledge in a guided project to build the logic for a mobile app that estimates lottery odds.
Best of all, you’ll learn by doing – you’ll practice and get feedback directly in the browser.
Key skills
- Estimating theoretical and empirical probabilities
- Understanding the fundamental rules of probability
- Calculating combinations and permutations
Course outline
Introduction to Probability in R [5 lessons]
Estimating Probabilities 1h
Lesson Objectives- Define random experiments
- Estimate theoretical probabilities
- Estimate empirical probabilities
Probability Rules 1h
Lesson Objectives- Employ set notation
- Read Venn diagrams
- Define unions, intersections, and complements
- Define the addition rule to calculate probabilities
Probabilities of Multiple Random Experiments 1h
Lesson Objectives- Define the multiplication rule of probability
- Identify independent and dependent events
- Employ complements to solve problems
Permutations and Combinations 1h
Lesson Objectives- Define the Rule of Product
- Define permutations
- Define combinations
Guided Project: Mobile App for Lottery Addiction 1h
Lesson Objectives- Expand your portfolio with a guided probability project
- Add business value using probability and combinatorics
Projects in this course
Mobile App for Lottery Addiction
For this project, you’ll take on the role of a data analyst at a medical institute, using probability and combinatorics in R to develop a mobile app that helps lottery addicts better estimate their chances of winning.
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