15.075 Statistical Thinking and Data Analysis
Introduces a rigorous treatment of statistical data analysis while helping students develop a strong intuition for the strengths and limitations of various methods. Topics include statistical sampling and uncertainty, estimation, hypothesis testing, linear regression, classification, analysis of variation, and elements of data mining. Involves empirical use of hypothesis testing and other statistical methodologies in several domains, including the assessment of A-B experiments on the web and the identification of genes correlated with diseases.
15.075 will not be offered this semester. It will be available in the Spring semester, and will be instructed by R. Mazumder.
Lecture occurs 11:30 AM to 1:00 PM on Mondays and Wednesdays in E51-395.
This class counts for a total of 12 credits.
You can find more information on MIT OpenCourseWare at the Statistical Thinking and Data Analysis site.
© Copyright 2015 Yasyf Mohamedali