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2  Schedule

The course is structured as a series of participatory live-coding sessions interspersed with hands-on exercises and group work, using a 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.

Day 1

Time	Session topic
9:30	Arrival; coffee and snacks
10:00	Introduction to the course
10:30	Basic setup and workflow
11:00	Importing data, fast! (with short break)
12:30	Lunch
13:15	Networking and social activity
13:45	Save time, don’t repeat yourself: Making functions
15:00	Coffee break and snacks
15:15	Save time, don’t repeat yourself: Making functions
16:45	End of day survey

Day 2

Time	Session topic
9:00	Save time, don’t repeat yourself: Using functionals
10:15	Coffee break and snacks
10:30	Save time, don’t repeat yourself: Using functionals
12:15	Lunch
13:00	Networking and social activity
13:30	Processing and joining datasets for cleaning
15:00	Coffee break and snacks
15:15	Processing and joining datasets for cleaning
16:45	End of day survey

Day 3

Time	Session topic
9:00	Quickly re-arranging data with pivots
10:15	Coffee break and snacks
10:30	Quickly re-arranging data with pivots
12:15	Lunch
13:00	Hands-on exercises
15:00	Coffee break and snacks
15:15	Hands-on exercises
16:20	Closing remarks
16:45	Short survey and farewell