Module 2 Delivery (2023)

[jack89roberts]

Taught Material

Rough timings:

Section	Title	Start Time	notes
	Overview	13:05
2.1.1	Where to find data
2.1.2	Legality and Ethics
2.1.3	Pandas intro	13:26	as in 2021 this is a rapid switch from legal/ethics issues to technical, could do with a pause/breather/smoother transition somehow
	SHORT BREAK	13:48 (after ~10 mins of questions)
2.1.4	Data sources & formats	14:00
2.1.5	Controlling access
2.2.1	Data consistency		up to null values
	LONG BREAK	14:53 (after ~10 mins of questions)
2.2.1	Data consistency	15:15	from null values
2.2.2	Modifying columns & indices
2.2.3	Feature engineering		rushed through (from binning onwards
2.2.4.1	Time & Date		rushed through
2.2.4.2	Text Data		rushed through
	SHORT BREAK	16:02
2.2.4.3	Categorical Data	16:15
2.2.4.4	Image Data
2.2.5	Privacy & Anonymisation
2.2.6	Linking Datasets
2.2.7	Missing Data
	Wrap-up (final Qs, pre-reqs for hands-on)
	End	17:02 (after ~10 mins of questions)

• Needed to leave more time for questions if we wanted to strictly keep to time
• Did better than last time at covering all the material, but it's a lot of material to take in (and deliver)

Hands-on

• One question at the end of the taught module about hoping to do more collaborative things on GitHub.
• We gave people the option to go to whatever room they like but all except ~5 people went to the same room
  • few questions, not much talking/collaboration
  • but for people working in groups, tricky to manage people working at different speeds/at different abilities
  • maybe better to force creating smaller groups? But some people do just prefer to work independently on them.