Materials for Computational and Data Literacy course @ NHM London, May 2017.

Repository containing materials and useful links associated with the course.

Course timetable

• Morning sessions run from 9.30am to 1pm.
• Afternoon sessions run from 2pm to 5.30pm.
• Coffee breaks will be at 11am and 3pm.

Day 1

• Introduction to the course
• Data literacy and Project Management
  • Session handout
• Museum data collection exercise

Day 2

• Introduction to R

• Data wrangling and tidying in R

  • Materials folder

• Data visualisation in R

  • Session slides
  • Materials folder

Day 3

• Basic statistics in R

  • Materials folder

• Tidy code, tidy practices and literate programming in R

• Reproducible reports with RMarkdown

• How to get help! Reproducible example

  • Sessions slides
  • Materials folder

Day 4

• git and GitHub through RStudio
  • Session handout
  • Practical 1 exercise
  • Practical 2: Evolottery handout
  • Evolottery results
• More complex gitting

Day 5

• Open Science, data archiving and code archiving
• Mapping in R
  • ggmap
  • Interactive leaflet maps & mapr
• Reports back on Museum data exercise