Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
Introduction to Data Science I introduces data science, its relationship with business analytics, statistics, machine learning and artificial intelligence. It outlines the key terms and skills required by a data scientist. It provides a practical foundation in commonly used tools for data scientists utilising an interactive learning environment set in real world exercises.
Aims
This module introduces data science, its relationship with business analytics, statistics, machine learning and artificial intelligence. It outlines the key terms and skills required by a data scientist and provides a foundation in the tools that are required to apply such skills.
Intended Learning Outcomes
Collect, clean and organise sets of data from the real world: 1,2Identify methodologies and tools for extracting information from data: 1,2Demonstrate different visualisation techniques in order to present information from data: 1,2Form hypotheses and inferences that relate to real-world problems: 2
Lectures: 22hPracticals: 22hIndependent study: 106h
Description of Module Assessment
1: Project weighted 50%Data analysis project
2: Exercise weighted 50%Programming exercises