Program

The program is subject to change, but is anticipated to be composed of the following:

Creative engagement with data: an introduction to Data Science and digital scholarship
Critical thinking with Data: Asking the right questions - How can we evaluate the quality, reliability and utility of data?
Cleaning and Exploring Data with Open Refine - Transform the data you have into the data you want
Data Analysis - Start learning to code in the Python programming language, automate repetitive tasks using the Unix shell, and safely store code and data under version control in Git
Data visualisation - Plan, design and critique visualisations (explore a range of techniques, technologies and methods) for scholarly analysis, communication and engagement using your data

Schedule

Time	Activity	Host	Location
9-9:30am	Check in, hello and morning tea		Dr Chau Chak Wing CB08.03.008 Catering Space
9:30-10:30am	Keynote	Simon Buckingham-Shum	CB08.03.002 Oval Classroom
10:45-11:40am	Data Arena tours x 2	Data Arena	Data Arena
12:00pm-12:30pm	Lunch		CB08.03.008 Catering Space
12:30pm-1:30pm	Critical thinking with Data: Asking the right questions	Simon Knight	CB08.03.004 Seminar room
1:45pm-4:30pm	Cleaning and Exploring Data with Open Refine	Jared Berghold	CB08.03.002 Oval Classroom
4:45pm–5:15pm	LRS tours		LRS
From 5:30pm	Afterhours		CB08.01 Cafe 80

Time	Activity	Host	Location
9am-5pm	Data Analysis: Shell and Version Control (Software Carpentry)	Alistair Walsh	CB08.03.002 Oval Classroom
12:30pm-1:30pm	Lunch		CB08.03.008 Catering Space
From 5pm	Afterhours		CB08.01 Cafe 80

Time	Activity	Host	Location
9am-3pm	Data Analysis: Python (Software Carpentry)	Alistair Walsh	CB08.03.002 Oval Classroom
12:30pm-1:30pm	Lunch		CB08.03.008 Catering Space
3:00-4ish	Data Visualisation	Kate Sweetapple	CB08.03.002 Oval Classroom
From 5pm	Afterhours		CB08.01 Cafe 80