Data Management and Analytics using SAS (ODL) STATS5080

  • Academic Session: 2019-20
  • 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 online-distance learning students on the PGCert/PGDip/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

This will typically be made up of a project (20%), an oral assessment (20%) and three homework exercises, including online quizzes (60%). Full details are provided in the programme handbook.

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, 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.