Data Management

Data that is stored haphazardly, organized poorly, and/or formatted unpredictably is hard to analyze, undermines its own value, and wastes people’s limited time. This module teaches modern practices for cleaning, storing, formatting, and accessing data so that its full potential can be realized.

One session is devoted to non-coding principles of keeping data organized, clean, and accessible. The second session is devoted to strategies for bringing your data into R and basic data cleaning.

Course Length

  • 6 hours in 2 sessions


"I've tried learning R online many times and always gave up after one or two hours. I am now able to do basic analysis and create my own visualizations. This was a great workshop!"

- Cece B. (Toronto, Canada)