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Data and Diversity Project Course

http://datadiversity.berkeley.edu/

Syllabus

Reading List for Social Science Topics

Technical Topics List

Project Ideas

Setup

  1. To get most of the python packages you need, install Anaconda
  2. Version control your work and install git
  3. Sign up for a Github account to collaborate easily with others
    • I recommend using command-line
    • or install a Github compatible GUI. Github provides one but SourceTree is supposed to be better.
  4. Regardless of which instructions you followed, you may want to install a better text-editor. Sublime Text, Notepad++ for Windows, and Textmate for Macs are recommended. Emacs and Vim are also still popular, but they do have steeper learning curves.

for Windows you can also install all those things, but installing a Ubuntu Virtual Machine is recommended. The Berkeley Common Environment (BCE) maintains a virtual Ubuntu environment that you can download and install a copy of.

If you're new to linux, this tutorial for using the Terminal might be helpful. These commands will also be reviewed in class.