This is a rough outline for the Spring 2014 Data Visualization course in Journalism at the University of Texas.
Week 1
Monday, Jan. 13
Introductions, course syllabus and outline.
Wednesday, Jan. 15
Data visualization in context, now and through history.
Week 2
Monday, Jan. 20
No class: Martin Luther King Jr. holiday.
Wednesday, Jan. 22
Using Excel and Google Spreadsheets to manage data.
Week 3
Monday, Jan. 27
Excel continued, including basic charts.
Wednesday, Jan. 29
Introduction to Google Fusion Tables.
Week 4
Monday, Feb. 3
Ryan Robinson, City of Austin Demographer
Wednesday, Feb. 5
The Census and American Community Survey, Margin of error
Week 5
Monday, Feb. 10
Tools to help with Census data
Wednesday, Feb. 12
In-class assignment with GFT.
Week 6
Monday, Feb. 17
Intro to Tableau: Appropriate chart types for various data
Wednesday, Feb. 19
Data rights and FOI with Pete Slover
Week 7
Monday, Feb. 24
Exploring with and formatting data for Tableau, with Grace Labriola
Wednesday, Feb. 26
Tableau lab.
Week 8
Monday, March 3
Lab for Tableau mini-project
Wednesday, March 5
What I learned at NICAR
Spring Break
Week 9
Monday, March 17
Creating clean, well presented dashboards in Tableau
Wednesday, March 19
Classroom Tableau work
Week 10
Monday, March 24
Projections, coordinate systems and other mysteries of mapping
Wednesday, March 26
QGIS lab: Clipping shapefiles
Week 11
Monday, March 31
Data cleaning tools: Mr. People and Open Refine
Wednesday, April 2
Data cleaning tools: Regular expressions and Excel
Week 12
Monday, April 7
Video explainers
Wednesday, April 9
Online charting tools: Datawrapper, Infogr.am, Storymapper, TimelineJS
Week 13
Monday, April 14
Final project assignment, examples and outline
Wednesday, April 16
Final project lab
Week 14
Monday, April 21
Final project lab
Wednesday, April 23
Final project lab
Week 15
Monday, April 28
Final project presentations
Wednesday, April 30
Final project presentations
Week 16
Dead week. No final exam.
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