Learn Stata, SAS, and R in Upcoming Workshops on Statistical Software

Posted September 27th, 2010 by Katherine McNeill

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 Trainer starting this week.  Note: pre-registration required; also, there will be time at the end of each session for individual assistance, so feel free to bring your research questions.

Where: All workshops held in 1-115.

Stata logo

1. Introduction to Stata

This workshop is designed for individuals who have little or no experience using Stata software. You will learn how to navigate Stata’s graphical user interface, create log files, and import data from a variety of software packages. We will also share tips for getting started with Stata including the creation and organization of do-files, examining descriptive statistics, and managing data and value labels.

When: Thursday, September 30th, 1-4pm; Space is limited: pre-register online

2. Data Management in Stata

Topics covered include basic data manipulation commands such as: recoding variables, creating new variables, working with missing data, and generating variables based on complex selection criteria. Participants will be introduced to strategies for merging datasets (adding both variables and observations), and collapsing datasets. Prerequisite: a general familiarity with Stata (such as taking the Intro. workshop).

When: Thursday, October 14th, 1-4pm; Space is limited: pre-register online

3. 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 covered include: univariate and multiple regression, dummy variables, interaction effects, hypothesis tests, assumption testing, and strategies for organizing model testing. Prerequisites: General familiarity with Stata, including importing and managing datasets and data exploration (such as taking the Intro. workshop); knowledge of the linear regression model and ordinary least squares estimation.

When: Monday, October 25th, 1-4pm; Space is limited: pre-register online

4. Graphics in Stata

Graphs are a powerful and memorable means of communicating quantitative information. 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: Thursday, November 4th, 1-4pm; Space is limited: pre-register online

5. Introduction to SAS

This course is intended for individuals with little to no experience using SAS, a powerful statistical software package available on Athena.  With hands-on exercises, explore SAS’s many features and learn how to import and manage your data in SAS. Novices welcome!

When: Monday, November 15th, 1-4pm; Space is limited: pre-register online

6. 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, December 6th, 1-4pm; Space is limited: pre-register online

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Can’t make these times? MIT affiliates can alternatively attend these workshops at Harvard.

Questions? Contact Katherine McNeill, Social Science Data Services and Economics Librarian, mcneillh@mit.edu.

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