How to Process, Analyze and Visualize Data
Adam Marcus, Eugene Wu
Mon-Thu, Jan 9-12, 17-18, 11am-02:00pm, 32-144
No limit but advance sign up required (see contact below)
Signup by: 08-Jan-2012
Participants requested to attend all sessions (non-series)
Prereq: 6.00 or 6.01 or prior python
Data science! Big data! Statistics! Infographics! Buzzword!
In this class you will learn to:
- Take raw data (e.g., friend graph, tweets, click logs)
- Extract meaningful information
- Use statistics and database tools
- Make visualizations
If there's time, we'll show you how to crank through particularly large or dirty datasets using frameworks like MapReduce and tools like Amazon's Mechanical Turk.
This course is heavily hands-on. Each class will present a short demo or introduction of a new data processing technique, and spend the rest of the time applying it to actual data.
Pizza will be served!
Web: http://tinyurl.com/dataiap
Contact: Adam Marcus, dataiap@csail.mit.edu
Sponsor: Electrical Engineering and Computer Science
Latest update: 12-Dec-2011
|
|
