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

Day 1 (July 12th)

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

Day 2 (July 13)

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

Day 3 (July 14)

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