Teaching Responsibility
LJMU Schools involved in Delivery:
Liverpool Business School
Learning Methods
Lecture
Seminar
Module Offerings
7004LBSSCL-JAN-MTP
7004LBSSCL-SEP-MTP
Aims
The aim of the module is to equip the students with the knowledge and skills to proficiently apply data analytics techniques in order to support informed decision-making within the context of supply chain and logistics. This module aims to empower students with the ability to differentiate, critically analyse, and proficiently apply a diverse range of data analytics techniques to solve complex business problems. Through hands-on experience and practical exercises, students will develop the skills necessary to assess the reliability and relevance of data sources, evaluate the effectiveness of various analytics models, and make informed choices during the decision-making process.
Learning Outcomes
1.
Develop in-depth knowledge of sources of data to analyse complex business problems and structure them for quantitative analysis.
2.
Apply analytical skills to address business problems and demonstrate a deep understanding of knowledge in application.
3.
Critically evaluate techniques and apply them to the appropriate data sets.
4.
Translate/Transform analytical results into tactical and strategic decision-making options.
5.
Communicate effectively and appropriately the findings to a broad spectrum of the audience.
Module Content
Outline Syllabus:
- Identifying and understanding data
- Methods for analysing data
- Apply different tools for data analysis
- Understanding decision making processes and tools
- Evaluate the appropriateness and effectiveness of appropriate data and decision making tools
Module Overview:
The aim of the module is to equip the students with the knowledge and skills to proficiently apply data analytics techniques in order to support informed decision-making within the context of supply chain and logistics.
This module aims to empower students with the ability to differentiate, critically analyse, and proficiently apply a diverse range of data analytics techniques to solve complex business problems. Through hands-on experience and practical exercises, students will develop the skills necessary to assess the reliability and relevance of data sources, evaluate the effectiveness of various analytics models, and make informed choices during the decision-making process.
The aim of the module is to equip the students with the knowledge and skills to proficiently apply data analytics techniques in order to support informed decision-making within the context of supply chain and logistics.
This module aims to empower students with the ability to differentiate, critically analyse, and proficiently apply a diverse range of data analytics techniques to solve complex business problems. Through hands-on experience and practical exercises, students will develop the skills necessary to assess the reliability and relevance of data sources, evaluate the effectiveness of various analytics models, and make informed choices during the decision-making process.