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This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then it will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis. You will also have the opportunity to critique and assist your fellow classmates with their data analyses.

Important Date:

Contact Institute


8 weeks

Time requirement:

3-5 hours/week



  • Some familiarity with the R statistical programming language and proficiency in writing in English will be useful.
  • This course is taken by first-year graduate students in Biostatistics at Johns Hopkins.
  • R
  • Dr. Jeff Leek, Johns Hopkins University
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