Course Schedule

The workshop is structured as a series of participatory live-coding sessions (instructor and learner coding together) interspersed with hands-on exercises, using either a practice dataset or the participants’ own datasets. Some short lectures will be given throughout.

Date and time Session topic
Tuesday, May 21
9:00-9:30 Introduction to the workshop, to reproducibility, and to open science
9:30-12:30 Project management and best practices (with coffee break)
12:30-13:30 Lunch (not provided)
13:30-17:00 Data management, wrangling, and best practices (with coffee break)
17:00-17:15 End of day remarks and short survey
Wednesday, May 22
9:00-9:30 Review of last day’s topics
9:30-12:30 Version control and collaborative practices (with coffee break)
12:30-13:30 Lunch (not provided)
13:30-16:30 Data visualization and best practices (with coffee break)
16:30-16:45 End of day remarks and short survey
Thursday, May 23
9:00-9:30 Review of last day’s topics
9:30-12:30 Creating reproducible documents (with coffee break)
12:30-13:30 Lunch (not provided)
13:30-16:30 Efficiency in data analysis and best practices (with coffee break)
16:30-16:45 Concluding remarks and short survey