The University of Southampton
Courses

MANG6231 Software for Data Analysis and Modelling

Module Overview

SAS (Statistical Analysis System) is the leading data analytics software package. This module will cover the fundamentals of SAS base programming. On successful completion of this module, you will be able to use SAS software to read data, access, manage and manipulate ‘big’ data, solve problems, save programs and datasets, use conditional logic, combine files, produce tables and listings of data, and use data analysis techniques. The module will also help prepare you for the SAS Base programming certification.

Aims and Objectives

Module Aims

To explore the nature of marketing data, how to collect it, analyse it and report it, using commercial software such as SAS.

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • the key features of marketing data, how to collect it, analyse it and interpret the statistical output from SAS
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • use SAS software to access and manipulate local and remote data, to create simple and advanced queries and reports and graphs
  • conduct Statistical modelling using marketing data in SAS
  • learn and practice data collection techniques
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • acquire data collection skills
  • acquire data exploration skills
  • acquire data analysis skills.

Syllabus

Day 1 - Labs 1, 2 and 3: Intro to SAS; Structure of SAS Programs Day 2 - Labs 4 and 5: Data Handling and Manipulation; Exploratory Data Analysis Day 3- Labs 6 and 7: Regression: Simple; Logistic Binary and Ordinal; SAS Output Delivery System (ODS)

Special Features

The computer package SAS is used.

Learning and Teaching

Teaching and learning methods

You will learn through a combination of lectures, practical (computer-lab) sessions, and self-study

TypeHours
Independent Study63
Teaching12
Total study time75

Resources & Reading list

SAS9.3. Software

C.Y. Joanne Peng (2009). Data Analysis Using SAS. 

Andy Field and Jeremy Miles (2010). Discovering Statistics Using SAS. 

Assessment

Formative

Lab work

Summative

MethodPercentage contribution
Report  (2000 words) 100%

Repeat

MethodPercentage contribution
Coursework  (2000 words) 100%

Referral

MethodPercentage contribution
Coursework  (2000 words) 100%

Linked modules

Pre-requisites

To study this module, you will need to have studied the following module(s):

CodeModule
MANG6003Quantitative Methods
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