Course programme

Objectives for the day

Too much for a single day, so it might be an idea to think about how to structure content into two consecutive sessions?

• How to store data in CSV file.
• Introduction to the shell. How to open it; how to navigate file structure.
• How to import CSV with R or Python and create simple descriptive plots
• Jupyter Notebook or similar for reproducibility (suggest R markdown since this will integrate with RStudio)
• Github. What is it? How to download a repo. How to edit a file using the web tools.
• What to do when you get stuck (StackExchange!)

For follow up sessions:

• Git + Github
• Unit tests?
• More advanced data processing and analysis techniques.

Programme outline

• Software installation (limit reliance on web as much as possible)
• Why important intro / show them some outcomes (e.g. plot.ly)
  • Perhaps in a format similar to the youtube link I posted on push.com?
• Start with the raw data
  • principles of data entry (in Excel)
• Tidy it
  • data from Excel to R
• R for newbies
• Checking for problems
• deciding on a graphical form
  • producing the graph
  • beautiful graphs
  • interactive graphs (plot.ly)
• Sharing and reproducible work (intro to github)
• What next (outline access to future sessions)