What to expect:
The course will be informal. There will be flexibility on the times depending on the needs/wishes of the participants. Use cases and problems covered in the course will have an astrophysics focus but other sources outside astrophysics will be covered. You should at least have a basic knowledge of HTML and have coded a little.

Lead Instructor/Teaching Assistants:
Christopher Erdmann, Harvard-Smithsonian Center for Astrophysics
Jennifer Prentice, Simmons GSLIS
Louise Rubin, Harvard-Smithsonian Center for Astrophysics

Rahul Dave, Seth Woodworth, James Turk, Tom Morris, David Dietrich, Alex Storer, Erin Braswell, Jay Luker, Matt Carroll
Visit speakers page

See participants page (instructors included)

Harvard-Smithsonian CfA, John G. Wolbach Library, 60 Garden Street, Cambridge, MA

Course Resources:
Course kit (Login required to access full kit)
Twitter archive
Data stories

January 31-May 30, 2013
Thursdays 4-6, Saturdays 10-2

General Course Outline:

  • Overview
  • Data Sources
  • Data Extraction
  • Data Cleansing
  • Sharing
  • Presentation
  • Visualization
  • Advanced Topics

Technologies covered:
Python, iPython, HTML/Javascript, Sublime Text, Regex, SQL, SQLShare, OpenRefine (aka Google Refine), DataWrangler, Fusion Tables/Charts, BibSoup, ScraperWiki, Dataverse, FigShare, R, RStudio, Tableau, D3, WordPress, NoSQL/MongoDB, Solr, Hadoop, MapReduce, Logstash