Module manager: Prof Bill Gerrard
Email: W.J.Gerrard@lubs.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
This module is approved as a discovery module
This module introduces you to business analytics - defined as the use of statistical analysis (and related techniques) to support an evidence-based approach to management decision making. The different stages in the analytics process are examined using case studies and practical applications.
The module aims to give students an introduction to business analytics defined as the use of statistical analysis (and related techniques) to support an evidence-based approach to management decision making.
Upon completion of this module students will be able to:
- Distinguish and characterise the nature of business analytics
- Describe accurately the different stages in the analytics process
- Recognise and apply alternative analytical approaches employed in business analytics using Excel
- Describe and contextualise the requirements for effective evidence-based practice in the business environment
Upon completion of this module students will be able to:
Transferable
- Write and communicate effectively
- Explain the importance of ethics, integrity and responsibility in undertaking data analysis
Subject Specific
- Research structured business problems with the ability to identify the critical factors involved
- Apply statistical tools accurately using Excel to analyse structured business problems
- Critically evaluate and interpret the results of data analysis in structured business problems
Indicative content:
Business analytics and evidence-based management
Analytics in Excel
Exploratory data analysis
Data visualisation
Analytical modelling: an overview
Analytics in action: regression
Analytics in action: classification
Analytics in action: cluster analysis
Analytics in action: dimensionality reduction
Dashboards and reports
Effective and ethical analytics
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 11 | 1 | 11 |
| Seminar | 9 | 1 | 9 |
| Private study hours | 80 | ||
| Total Contact hours | 20 | ||
| Total hours (100hr per 10 credits) | 100 | ||
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.
Opportunity for feedback during seminars. In addition, the module discussion board will provide the main forum for students to ask questions and comment on the teaching materials. Module announcements and a weekly "news" group email will provide more general feedback.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Essay | 2,000 words | 100 |
| Total percentage (Assessment Coursework) | 100 | |
The resit for this module will be 100% by 2,000 word coursework.
The reading list is available from the Library website
Last updated: 4/29/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team