Introduction to Probability and Data with R
About this course
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.
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What you'll learn
- understand basic probability theory
- explore different sampling methods
- perform data visualization using R
- derive insights from numeric summary statistics
Course objectives
- introduce concepts of sampling and data exploration
- develop skills in exploratory data analysis
- equip students with tools to perform analyses using R
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