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Applications of Probability

Probability Principles

The further you dive into data analytics, the more you’ll be asked to assess probability. While this is a common task, its methodology is misunderstood by most. This course introduces you to essential probability concepts and teaches you how to calculate probabilities correctly.

Intermediate        9 Lessons        120 Minutes        CPD Credits
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About This Course

If you want to use data to assess the probability of an outcome, then there are some principles that you need to apply. In this course, you’ll explore the fundamentals behind probability and how to create them.

Across nine lessons, you’ll learn how to calculate the probabilities of simple events, how to create a probability tree, and how to handle permutations and combinations.

By the end of the course, you should feel confident in calculating, editing and manipulating probability for your own datasets.

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Learning Outcomes

  • Calculate probabilities of simple events
  • Analyze possible outcomes with a sample space
  • Use Bayes’ Theorem to calculate conditional probabilities
  • Create a probability tree
  • Calculate permutations and combinations
  • Calculate probabilities for sampling problems


1. Overview of Probability
2. Using a Sample Space
3. Calculating Probabilities of Multiple Events
4. Understanding Conditional Probability
5. Applying Bayes' Theorem
6. Using a Probability Tree

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7. Calculating Permutations
8. Calculating Combinations
9. Understanding Sampling
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