Understand the fundamentals of probability and its relationship to statistics and data science. We’ll learn what it means to calculate probability, independent and dependent outcomes, and conditional events. We’ll explore discrete and continuous random variables and see how this fits into data mining. Finally, we’ll look at Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance to all of statistics and data science.
Probability Theory: A Foundation for Data Science is listed in the GenAI.Works courses directory, from University of Colorado.
