Looking to gain skills in working with statistical analysis software packages? The following classes will be taught by the Harvard-MIT Data Center (HMDC) Statistical Consultant and start next week! Note: there will be time at the end of each session for individual assistance, so feel free to bring your research questions.
1. Introduction to Stata
Get an introduction to Stata, the statistical analysis software package commonly used at MIT. With hands-on exercises, learn how to import and manage datasets. Novices welcome!
When: Friday, October 23rd, 2-5pm
2. Data Management in Stata
Learn techniques for data management using Stata. Perform hands-on exercises and learn how to create cross-sectional, time-series, and panel datasets from several data files. Topics include importing data into Stata, labeling data and variables, converting data from string to numeric format, appending and merging datasets, and collapsing and reshaping a dataset. Prerequisite: a general familiarity with Stata (such as taking the Intro. workshop).
When: Friday, November 6th, 3-5pm
3. Introduction to Regression Using Stata
This hands-on class will provide a comprehensive introduction to estimating the linear regression model using ordinary least squares in Stata. Topics for the class include multiple regression, dummy variables, interaction effects, hypothesis tests, and model diagnostics. Prerequisites include a general familiarity with Stata (such as taking the Intro. workshop), the linear regression model, and the ordinary least squares estimation.
When: Friday, November 13th, 3-5pm
4. Introduction to R
Get an introduction to R, the open-source system for statistical computation and graphics available on Athena. With hands-on exercises, learn how to import and manage datasets, create R objects, and generate figures. Novices welcome!
When: Friday, December 11th, 1-4pm
Where: All workshops held in the Sloan Trading Room in the basement of E52: E52-010.
Space is limited. To register, contact: Katherine McNeill, firstname.lastname@example.org.
Can’t make these times? Attend these workshops at Harvard or view the slides on your own.
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