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.
- 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.
- Dr. Jeff Leek, Johns Hopkins University