The first run of the R Programming for Policy course was held from July to August of 2020. Reflecting the large number of global participants (and the Covid-19 pandemic) sessions were held online via video conferencing.
Reflecting sustained interest in the training series and requests to access the course resources, I’ve made course recordings and resources available online. Apologies in advance for the quality of some of the recordings. Links to individuals sessions are provided below:
- Week 1: The fundamentals of programming and R – covering just enough of the theory to start using R.
- Week 2: Exploratory analysis – how to quickly understand the basics of a dataset and use programming to explore policy questions.
- Week 3: Data cleaning and basic visualization– showing how we can work with, and clean messy, data to make it useful for analysis.
- Week 4: Data visualization and presenting results – providing examples of how to communicate your analysis through modern data visualization, graphics and statistical summaries.
- Week 5: Applied Policy Analysis Scenario – where we work through a hypothetical policy scenario to apply key principles covered during the course.
For those interested in participating in future versions of the course (and/or encouraging me to create new online course materials) please let me know via this form.