Computational Statistics I
This curricular unit (UC) is especially recommended for users without programming experience in the SAS© system, but who have knowledge of other programming languages or databases management. The UC provides a solid foundation for information management through SAS programming. In this course, students will acquire skills to develop sophisticated programs for the manipulation and analysis of data and files. The UC's main objective is to provide knowledge about the fundamental concepts of SAS programming.
Frederico Miguel Campos Cruz Ribeiro de Jesus
Weekly - Available soon
Total - Available soon
Portuguese. If there are Erasmus students, classes will be taught in English
- SAS® 9.3 Language Reference: Concepts. Second Edition. Cary, NC: SAS Institute Inc. 2010.
- SAS® 9.3 Language Reference: Dictionary. Third Edition. Cary, NC: SAS Institute Inc. 2010.
- Base SAS® 9.3 Procedures Guide: Statistical Procedures. Third Edition. Cary, NC: SAS Institute Inc. 2010.
- SAS® 9.3 Output Delivery System: User¿s Guide. Cary, NC: SAS Institute Inc., 2009.
- Lora D. Delwiche; Susan J. Slaughter; Exercises and Projects for The Little SAS® Book, Fifth Edition (2015); SAS Institute
- Lora D. Delwiche; Susan J. Slaughter; The Little SAS® Book: A Primer, Fifth Edition (2012); SAS Institute
- Lora D. Delwiche; Susan J. Slaughter; The Little SAS® Enterprise Guide® Book (2017); SAS Institute
- Ron Cody; Learning SAS® by Example: A Programmer's Guide (2007); SAS Institute
- Support documents
The curricular unit is based on mix of theoretical lectures and practical classes. Each session will introduce new concepts and methodologies, as well as the applications of the learnt concepts using different computational tools. Different learning strategies will be used, such as lectures, slide show demonstrations, step-by-step tutorials on how to approach practical examples, questions, and answers.
The practical component is focused in exploring the different computational tools by the students, including a discussion on the best approach under different scenarios.
Final exam (100%) in both evaluation calls.
The course is organized in seven Learning Units (LU):
LU1. Introduction to the SAS System
- Interface and basic concepts
- SAS programs
- SAS data sets
- SAS data libraries
LU2. Data access
- Reading data from unstructured files
- Entering data directly in the program
- Reading data from structured files
LU3. Data modification
- Reading an existing data set
- Variable selection
- Observation selection
- Descriptive labels
- Creating variables and assigning values
- SAS functions
- Creating variables conditionally
- Using a value in a later observation
LU4. Combining data sets
- Concatenating data sets
- Merging data sets
LU5. Production of reports
- Simple reports
- Displaying totals and subtotals
- Processing groups of data
- Titles, formats and labels
LU6. Some statistical procedures
- PROC FREQ
- PROC MEANS
- PROC UNIVARIATE
- PROC TABULATE
- PROC CORR
- PROC NPAR1WAY (self-study)
LU7. Advanced topics in data modification
- Exporting SAS data
- Converting character and numeric data
- Simultaneous creation of multiple data sets
- Processing data with DO loops
- Processing data with arrays
- SQL procedure
Programs where the course is taught: