DescriptionProgram StructureEligibilityToolsFacultyContact

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

  • We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals.
  • We will provide examples by programming in R in a way that will help make the connection between concepts and implementation. Problems sets requiring R programming will be used to test understanding and ability to implement basic data analyses.
  • We will use visualization techniques to explore new data sets and determine the most appropriate approach.
  • We will describe robust statistical techniques as alternative when data do not fit assumptions required by the standard approaches.
  • We will also introduce the basics of using R scripts to conduct reproducible research.


  • Distributions
  • Exploratory Data Analysis
  • Inference
  • Non-parametric statistics

Important Date

19 January 2015;

Registration open through 27 April 2015



6 hours / week

Part time/Full time

Part Time

  • Knowledge about basic programming,
  • Basic math.
  • R
  • Rafael Irizarry
  • Michael Love
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