2 Schedule
The course is structured as a series of participatory live-coding sessions interspersed with hands-on exercises and group work, using either a practice dataset or some other real-world dataset. There are some lectures given, mainly at the start and end of the course. The general schedule outline is shown in the below table. This is not a fixed schedule of the timings of each session—some may be shorter and others may be longer. Instead, it is meant to be an approximate guide and overview.
| Time | Session topic |
|---|---|
| 9:30 | Arrival; Coffee and light breakfast |
| 10:00 | Introduction to the course |
| 10:30 | Setting up an R project (with short break) |
| 12:20 | End of session short survey |
| 12:30 | Lunch |
| 13:15 | Networking and social activity |
| 13:35 | Analytically reproducible documents |
| 14:40 | End of session short survey |
| 14:45 | Break with coffee and snacks |
| 15:00 | Version control with Git |
| 16:30 | End of session short survey |
| Time | Session topic |
|---|---|
| 9:00 | Importing data into R |
| 10:10 | End of session short survey |
| 10:15 | Break with coffee, team and snacks |
| 10:30 | Basic data visualization (with short break) |
| 12:20 | End of session short survey |
| 12:30 | Lunch |
| 13:15 | Networking and social activity |
| 13:35 | Collaborating with GitHub |
| 14:40 | End of session short survey |
| 14:45 | Break with coffee and snacks |
| 15:00 | Basic data wrangling |
| 16:30 | End of session short survey |
| Time | Session topic |
|---|---|
| 9:00 | Wrangling with visualizing |
| 10:10 | End of session short survey |
| 10:15 | Break with coffee and snacks |
| 10:30 | Split, apply, and combine |
| 12:20 | End of session short survey |
| 12:30 | Lunch |
| 13:15 | Group work (with break) |
| 16:00 | Testing reproducibility of projects |
| 16:10 | Closing remarks |
| 16:30 | End of course short survey and farewell |