Teaching Responsibility
LJMU Schools involved in Delivery:
LJMU Partner Taught
Learning Methods
Lecture
Online
Workshop
Module Offerings
5605DGABW-JAN-PAR
Aims
To learn and use valuable analytics skills, and to understand the need for analytics in the modern workplace and the systems that enable this.
Learning Outcomes
1.
Use adequate analytic tools and techniques to transform business data into actionable insight
2.
Justify the use of a particular analytic approach and communicate its managerial implications to a non-technical audience.
3.
Use appropriate data visualisation techniques to illustrate and articulate how modern companies are using business intelligence to solve old problems in new ways and pursue new opportunities.
Module Content
Outline Syllabus:Business analytics landscape,
Need for/uses of Business Analytics,
Techniques and software
Time series analysis,
Ethics and data,
Visualisation,
Storytelling with data,
Big data,
Machine Learning (ML) and Artificial Intelligence (AI),
Design considerations,
Human centred design of analytics.
Additional Information:This module will cover bias in data and ML/AI, GDPR and use data that addresses sustainability, decarbonisation, and EDI issues as much as possible. Also referring to the content of the various BW programmes to keep it relevant and current.