Probability/Random Variables Professional Certificate

What you will learn:

  • Review Bootcamp lessons based on set theory and calculus.
  • Understand underlying probability axioms.
  • Apply elementary probability counting rules, including permutations and combinations.
  • Become familiar with the concepts of independence and conditional probability.
  • Learn how to update probabilities via Bayes Rule.
  • Get introduced to discrete and continuous random variables.
  • Learn about the properties of random variables, including the expected value, variance, and moment generating function.
  • Study functions of random variables, and how they can be used in computer simulation applications.
  • Recognize joint(two-dimensional) random variables and how to extract marginal(one-dimensional) and conditional information from them.
  • Study the concepts of independence and correlation.
  • Work with the R statistical package.
Filter Courses within "Probability/Random Variables Professional Certificate" (Click to filter)
Probability and Statistics I: A Gentle Introduction to Probability (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics I: A Gentle Introduction to Probability (edX)

Embark on a journey into the world of probabilities with our introductory course tailored for aspiring scientists and engineers. This course offers an in-depth exploration of basic probability principles, equipping you with the tools needed to tackle complex scientific and engineering challenges through effective modeling and analysis. Start with a Bootcamp review of set theory and calculus basics before diving into probability applications.

Self Paced
Self-Paced
Probability and Statistics II: Random Variables – Great Expectations to Bell Curves (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves (edX)

Dive into the world of random variables and explore essential concepts like probability distributions, expectations, variances, and how they apply to real-world scenarios. This course is designed for those who want to deepen their understanding of statistics and probability theory, preparing them for advanced studies or practical applications in data analysis.

Self Paced
Self-Paced
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