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 during IAP. Note: there will be time at the end of each session for individual assistance, so feel free to bring your research questions.
WHERE: All statistical software workshops held in 1-115.
SPACE IS LIMITED. TO REGISTER, CONTACT Katherine McNeill.
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 analyze datasets. Novices welcome!
WHEN: Wednesday, January 20th, 10am-1pm
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, January 22nd, 10am-1pm
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: Monday, January 25th, 10am-1pm
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: Wednesday, January 27th, 10am-1pm
Introduction to SAS
Get an introduction to SAS, a powerful statistical software package available on Athena. With hands-on exercises, explore SAS’s many features and learn how to import, manage, and analyze data. Novices welcome!
WHEN: Thurssday, January 28th, 10am-1pm
Graphics in Stata
This hands-on class will provide a comprehensive introduction to graphics in Stata. Topics for the class include graphing principles, descriptive graphs, and post-estimation graphs. Prerequisite: a general familiarity with Stata (such as taking the Intro. workshop).
WHEN: Friday, January 29th, 10am-1pm
Can’t make these times? Attend these workshops at Harvard or view the slides on your own.
Check out other Social Science Data Services IAP sessions as well as the MIT Libraries’ full schedule of IAP sessions.