HMDC regularly provides a variety of technical training courses to facilitate incorporation of the most recent technological capabilities into the ongoing reserach of Harvard's academic community. The courses offered by HMDC cover everything from strategies for locating numeric data to R, the open-source system for statistical computation and graphics. You can view the current class schedule and download class handouts from the HMDC web site Statistical Support menu Tutorials & Workshops pages. All members of the Harvard community are encouraged to take advantage of this resource; others who wish to participate first should obtain sponsorship from either a member of the IQSS faculty or senior staff.
All classes are held in the Room K018, 1737 Cambridge St (CGIS Knafel Building). To enroll, please contact Diane Sredl at dataclass@help.hmdc.harvard.edu.
Learn strategies for locating numeric data for term papers, senior theses, dissertations, or other research purposes. Taught by a Data Librarian from the Harvard College Library Numeric Data Services, this course covers everything from quick look-up sources to micro-level datasets in the social sciences, including those found in the IQSS Dataverse Network. Undertake hands-on practice using Harvard e-resources in Economics, Government and Political Science, Sociology, and Health. Both sessions cover the same material.
Stata is available for download through the FAS Information Technology web site, as well as in many computer labs throughout campus.
For futher details and registration information, please contact us at dataclass@help.hmdc.harvard.edu.
Learn techniques for data management by using Stata software, one of the more frequently used statistical packages at Harvard and MIT. 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.
To enroll, please contact us at dataclass@help.hmdc.harvard.edu.
Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, and generate figures.
For futher details and registration information, please contact us at dataclass@help.hmdc.harvard.edu.
This hands-on class provides 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, including importing and managing datasets and data exploration, the linear regression model, and the ordinary least squares estimation.
To enroll, please contact us at dataclass@help.hmdc.harvard.edu.
Get an introduction to SAS, one of the more frequently used statistical packages in business. With hands-on exercises, explore SAS's many features and learn how to import and manage datasets and do statistical analysis.
SAS is available in many computer labs throughout campus.
For further details and registration information, please contact us at dataclass@help.hmdc.harvard.edu.