300 Hours of Free Video Tutorials on R Programming

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This is a full course in advanced undergraduate statistics taught at Emory University during the Fall semester of 2013 by Courtney Brown. The R Programming Language is used throughout the course. The course covers basic statistical material through some advanced subjects involving multiple regression.

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Statistics with R

• Statistics with R: Introduction to Data Types, Lesson 1
• Using R and RStudio, Lesson 2
• Descriptive Statistics and Plotting I, Lesson 3
• Multiple Data Sets and Plotting II, Lesson 4
• Confidence Intervals, Lesson 5
• t-tests, Lesson 6
• Hypothesis Testing, Crosstab Tables, and Chi-Squared, Lesson 7
• Crosstabulation Tables using R, Assignment #3, Lesson 8
• Regression, Lesson 9
• Multiple Regression, Lesson 10
• Multiple Regression II, Lesson 11
• Multiple Regression III, Lesson 12
• Scientific Writing I, Lesson 13
• Dummy Variables, Lesson 14
• Writing Hypotheses, Lesson 15
• Multicollinearity I, Lesson 16
• Multicollinearity II, Lesson 17
• Ridge Regression, Lesson 18
• Logistic Regression, Lesson 19

This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.

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* This course is freely available for all. *This course is not developed or owned by Gladwin Analytics. * All rights with Emory University.

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