CSC-10058 - Introduction to Data Science I
Coordinator: Peter Wootton Tel: +44 1782 7 33767
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25

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: 1,2
Identify methodologies and tools for extracting information from data: 1,2
Demonstrate different visualisation techniques in order to present information from data: 1,2
Form hypotheses and inferences that relate to real-world problems: 2

Study hours

Lectures: 22h
Practicals: 22h
Independent study: 106h

School Rules

None

Description of Module Assessment

1: Project weighted 50%
Data analysis project


2: Exercise weighted 50%
Programming exercises