Introduction to Data Analysis with R

Description
This course provides a brief introduction to the fundamentals of the R language and focuses on its use for data analysis–including exploratory data analysis, linear and logistic regression, variable selection, model diagnostics, and prediction.

Syllabus

• Fundamentals of R & RStudio: the basics–including objects, subsetting, indexing, data I/O, and control structures
• Exploratory Data Analysis: all the necessary tools to investigate your data before performing any formal modeling–from summary statistics to visualization including plotting histograms, boxplots, and scatterplots
• Linear Regression: everything you need to know to begin fitting linear models–from simple t-tests to estimation of regression coefficients, variable selection, and prediction
• Logistic Regression: the basics of generalized linear models (GLMs) with an emphasis on binary response data–we extend the theory and modeling strategies of linear regression