Teaching Responsibility

LJMU Schools involved in Delivery:

Liverpool Business School

Learning Methods

Online

Workshop

Module Offerings

7120DMKT-SEP-MTP

Aims

The module looks at data analysis as a technology-driven process for analysing data and presenting actionable insight to marketing professionals and experts. It aims to build awareness of the importance of data for marketing as well as to introduce students to the novel approaches that are revolutionizing the way marketing is done (Data Science, Big Data, Machine Learning, Internet of Things, Artificial Intelligence etc.). Module introduces students to basic concepts of contemporary data analysis in mastering tools for transformation of structured data into actionable information.

Learning Outcomes

1.
Strategically apply analytical tools and techniques to transform data into actionable insight.
2.
Strategically evaluate the use of various analytical approaches and communicate their managerial implications to a non-technical audience.
3.
Critically apply appropriate data visualisation techniques to convey findings.
4.
Critically analyse and articulate how modern companies use data analysis to solve marketing problems in new ways and pursue new opportunities.

Module Content

Outline Syllabus:Nature of Data Hypothesis Testing Data Visualisation and Exploratory Data Analysis Data Pre-processing and Feature Selection Regression Models Classification Models Cluster Analysis Association Rules
Module Overview:
This module looks at data analysis as a technology-driven process for analysing data and presenting actionable insight to marketing professionals and experts. Build awareness of the importance of data for marketing and learn about the novel approaches that are revolutionising the marketing industry (Data Science, Big Data, Machine Learning, Internet of Things, Artificial Intelligence etc.). Learn basic concepts of contemporary data analysis and master tools for transformation of structured data into actionable information.
Additional Information:In addition to acquiring subject knowledge, this module works on building transferable skills, namely by enabling students to transform raw data into useful information that is priceless for managers in decision making in the workplace.

Assessments

Report