Data Management Using SAS
NUTR 0237
Course Description
This semester long course will provide participants with sufficient knowledge to manage data from collection to analysis in SAS for Windows. Emphasis will be placed on the data life cycle, database structures, cleaning, manipulation, documentation, and dynamic reporting of data. Upon completion, students should be able to be able manage a small project from start to finish, providing well documented reproducible code to generate a report, codebook and data set ready for data analysis. Macro programming, structured query language (SQL), public data sets and reporting tools commonly used in nutrition analysis will be utilized during the semester. In-class exercises and weekly homework assignments will allow students to acquire hands-on experience solving common data management tasks in SAS. Prerequisite: Graduate standing or instructor consent.
Basic Enrollment Requirements: Unofficial Transcript - Bachelor's + 3.0 GPA. You will be contacted after registration for required evidence of immunization.
Instructor Approval: During registration, you will be asked to explain how you meet the pre-requisites for this course and to describe any relevant experience. The instructor will use this information to confirm your enrollment or will otherwise be in touch with you.
Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the course length. Please refer to the section details to confirm any exceptions to the standard refund policy. The refund policies are viewable here: https://universitycollege.tufts.edu/policies#Refunds
Remission Eligible: Yes; first day of term; all university policies apply.
Affiliated With:
- Friedman School of Nutrition Science and Policy