In this Harvard course you will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R.
This course provides R programming examples in a way that will help you make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. This course uses visualization techniques to explore new data sets and determine the most appropriate approach.
Additionally this course will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.