14.31 Data Analysis for Social Scientists

Class Info

Introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. Presents essential notions of probability and statistics. Covers techniques in modern data analysis: regression and econometrics, prediction, design of experiment, randomized control trials (and A/B testing), machine learning, data visualization, analysis of network data, and geographic information systems. Projects include analysis of data with a written description and interpretation of results; may involve gathering of original data or use of existing data sets. Applications drawn from real world examples and frontier research. Instruction in use of the statistical package Stata. Students taking graduate version complete additional assignments.

This class has 18.01 as a prerequisite.

14.31 will not be offered this semester. It will be available in the Spring semester, and will be instructed by D. Atkin and E. Duflo.

Lecture occurs 10:30 AM to 12:00 PM on Mondays and Wednesdays in E51-395.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+14.31&btnG=Google+Search&inurl=https site or on the 14.31 Stellar site.

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