140.632.41
Introduction to the SAS Statistical Package
- Location:
- Internet
- Term:
- 4th term
- Department:
- Biostatistics
- Credits:
- 3 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- Synchronous Online
- Class Times:
-
- Tuesday, 1:30 - 2:50pm
- Auditors Allowed:
- Yes, with instructor consent
- Undergrads Allowed:
- No
- Grading Restriction:
- Letter Grade or Pass/Fail
- Course Instructor:
- Contact:
- Aidan McDermott
- Resources:
- Prerequisite:
140.622 or 140.652 (may be taken concurrently), or former 140.602
- Description:
-
Designed for students with no experience with SAS.
Introduces students with no experience with SAS. Familiarizes them with the skills needed for effective data management and
data analysis. Covers performing exploratory analysis on data including the creation of tables and graphs. Proceeds next to creating new datasets and altering old datasets. Covers building regression models (linear, logistic, and Poisson), interpreting results and criticizing such models, and attempting to improve them.
- Learning Objectives:
-
Upon successfully completing this course, students will be able to:
- Use the SAS statistical package, mastering the skills needed for effective data management, data manipulation, and data analysis
- Write and execute programs using SAS syntax
- Read and transform data in preparation for statistical analysis
- Create tabular and graphical displays of data
- Perform simple statistical analyses such as linear and logistic regression
- Methods of Assessment:
This course is evaluated as follows:
- 100% Weekly labs
- Instructor Consent:
No consent required
- Special Comments:
Please note: This is the virtual/online section of a course that is also offered onsite. Students will need to commit to the modality for which they register.