Link to Content:

Introduction to Probability and Data

Created/Published/Taught by:

Coursera

Duke University

Mine Ã‡etinkaya-Rundel

Content Found Via:

Coursera

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $88.00

Tags: bayes theorem / probability / R / RStudio / sampling methods

Difficulty Rating:

This is course 1 of 5 in the Statistics with R Specialization.

FromÂ Coursera:

“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.”

Recommended Prerequisites: Beginner course; none specified

Go to Content: Introduction to Probability and Data

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