Undergraduate Module Descriptor

SSI1008: Introduction to Data Analytics in Microsoft Excel

This module descriptor refers to the 2022/3 academic year.

Module Content

Syllabus Plan

The ILOs and data sets used in teaching are generic, enabling students to gain skills in the theory and practical aspects of data analytics for application in a broad range of disciplines.


 Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover at least some of the following topics:  

-        Introduction to statistics

-        Basic mathematical notation

-        Data cleaning

-        Variable types

-        Summarising data

-        Data visualisation

-        Relationships between variables

-        Hypothesis testing

-        Communicating data

-        Group project

Learning and Teaching

This table provides an overview of how your hours of study for this module are allocated:

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad

...and this table provides a more detailed breakdown of the hours allocated to various study activities:

CategoryHours of study timeDescription
Scheduled Learning & Teaching activities4Lectures: Overview of statistical theory and demonstration of practical applications
Scheduled Learning & Teaching activities5Practicals: Practical activities completed in-class
Guided Independent Study5Revision of the sessions, finishing any practicals, completing suggested reading, practicing code, sourcing data

Online Resources

This module has online resources available via ELE (the Exeter Learning Environment).