Week 1 (complete HW 1 prior)

General Principles of Data Management (using R)

  • Motivation: scientific integrity of your data
  • Working with R and RStudio
  • Reading data into R using readr - introduction

Week 2 (complete HW 2 prior)

Data Backup, File Structure, Intro to Data Transformation

  • It’s midnight. Do you know where your data are? (just use REDCap and stop worrying about it)
    • it’s free
    • it’s secure and backed up
    • metadata are built in
  • Motivation: .csv is a near-universal data format.
    • move your data into and out of REDCap as .csv
  • dplyr! You’ll love it - introduction

Week 3 (complete HW 3 prior)

Data Transformation, Intro to Summary Statistics and Data Visualization

  • Most of the work in any analysis: data transformation/cleaning
  • How best to summarize and visualize your data?

Week 4 (complete HW 4 prior)

How did I do that again? Where the @#$# is that file?

  • Reproducibility: scripts are your friends
  • Write notes to your future self
  • File structure (RStudio projects)

Week 5 (complete HW 4 prior)

Summary Statistics, Intro to Data Visualization

  • What does your data mean?
  • How best to visualize your data?
  • How best to present your data?