Data Analysis and Visualisation

Overview

• How Data Analytics is used in industry and research
• Obtaining data
• Cleaning and converting data into a form to make it suitable for analysis and visualisation
• Use of existing tools to visualise data
• Use of existing tools to identify statistical patterns
• Formulating and testing theories about data
• Communicating data analytic discoveries effectively

Learning Objectives

Be able to:
• Explain how data analytics is used in industry and research.
• Demonstrate the ability to obtain, process and clean data for analysis.
• Use existing tools to visualise and analyse data.
• Formulate and test theories about data.
• Communicate discoveries effectively.

Skills

Creativity in obtaining useful data. Ability to use techniques to clean and process data. Ability to use existing tools for analysis and visualisation of data. Creativity and reasoning skills required to formulate theories about data and to evaluate those theories using statistical analysis of the data. Communicating theories about data in a clear way. Demonstrating patterns in data in a convincing way.

Assessment

None

Coursework

100%

Examination

0%

Practical

0%

Credits

20

Module Code

CSC3062

Teaching Period

Autumn Semester

Duration

12 Weeks