Teaching Responsibility
LJMU Schools involved in Delivery:
Computer Science and Mathematics
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
6209COMP-JAN-CTY
Aims
To apply data analysis approaches to business problems using statistical and machine learning approaches.
Learning Outcomes
1.
Critically evaluate the technological and statistical options available for solving business problems.
2.
Identify and apply appropriate statistical techniques and machine learning approaches to business problems using a suitable software application.
Module Content
Outline Syllabus:Statistical modelling
Data acquisition
Sampling
Data preparation
Data Cleaning
Data warehousing
Assumption testing for statistical modelling
Principal Component Analysis
Linear Modelling
Cluster analysis
Decision trees, Random Forests
Classification modelling
Predictive modelling
Assessing statistical models
Module Overview:
This is a practical module that generates analytical modelling experience, developing hands-on experience of business intelligence applications. You will learn to critically evaluate the technological and statistical options available for solving business problems, and to identify and apply appropriate statistical techniques and machine learning approaches to business problems using a suitable software application.
This is a practical module that generates analytical modelling experience, developing hands-on experience of business intelligence applications. You will learn to critically evaluate the technological and statistical options available for solving business problems, and to identify and apply appropriate statistical techniques and machine learning approaches to business problems using a suitable software application.
Additional Information:This is a practical module that generates analytical modelling experience, developing hands-on experience of business intelligence applications.