Data Management and Analytics using SAS (ODL) STATS5080

  • Academic Session: 2018-19
  • School: School of Mathematics and Statistics
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: No
  • Available to Erasmus Students: No
  • Taught Wholly by Distance Learning: Yes

Short Description

This course provides an in-depth introduction to the statistical software package SAS, including the use of Structured Query Language (SQL). It covers all the features required for SAS certification as a Certified SAS Base Programmer and a Certified SAS Statistical Business Analyst.

Timetable

The course mostly consists of asynchronous teaching material.

Requirements of Entry

The course is only available to students on the online MSc in Data Analytics.

Excluded Courses

Data Management and Analytics using SAS

Data Management and Analytics using SAS (Level M)

Co-requisites

-/-

Assessment

100% Continuous Assessment

Project work is assessed by a report as well as an oral assessment and/or video presentation.

Course Aims

The aims of this course are:

■ to provide students with experience of programming and data management using SAS, including running basic database queries with Structured Query Language (SQL); and

■ to illustrates how SAS can be used to carry out a wide variety of statistical analyses.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ manipulate, transform and combine data sets in SAS

■ import and export raw data files

■ create basic detail and summary reports using SAS procedures

■ identify and correct data, syntax and programming logic errors

■ formulate basic queries in SQL

■ fit standard statistical models using SAS procedures such as TTEST, REG, GLM, GLMTEST, LOGISTIC, GENMOD and SCORE, and assess their performance

■ use their knowledge of SAS procedures to analyse a complex real-world data set and summarize the results in a report.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.