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MT5756   Data Analysis

Academic year(s): 2017-2018

Key information

SCOTCAT credits : 20

ECTS credits : 10

Level : SCQF Level 11

Semester: 1

Planned timetable: 2.00 pm

This module provides coverage of essential statistical concepts, data manipulation and analysis methods, and software skills in commercial analysis packages. Specifically: the different types of data and their numerical/graphical treatment; data entry/import/export, basic probability theory and concepts of inference; fundamental statistical concepts with particular emphasis on sampling issues; basic statistical models and tests; introductory computer-intensive inference. The widespread commercial statistical packages SAS, SPSS are introduced and utilised with Excel for most analyses. The statistical programming language R is also given brief attention. This module is a short intensive course and is a core, preliminary, requirement for the MSc in Applied Statistics and Datamining. It covers material essential for study of the more advanced statistical methods encountered in subsequent modules.

Learning and teaching methods and delivery

Weekly contact: Lectures, tutorials and practicals for 4 weeks.

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 60%, Coursework = 40%


Re-assessment: 2-hour Written Examination = 100%

Personnel

Module teaching staff: Dr V M Popov, Dr L A Scott-Hayward