15 Credits AUTUMN



Aims/Description: Data science is an emerging field that seeks to discover and explore new ways of exploiting data to support decision-making for a range of domains and problems. With individuals and organisations producing vast amounts of real-time heterogeneous data (i.e. Big Data), there is greater demand than ever to manage and analyse data effectively. This module aims to introduce students to the concepts and theories that underpin data science, provide an understanding of how they are used and impact on organisations, and gain hands-on experience with analysing and presenting data effectively using R and R Studio.

Staff Contact: Prof Paul Clough
Teaching Methods: Lectures, Problem solving, Laboratory work, Independent Study
Assessment: Course work
WebCT resources are available for this module

Information on the department responsible for this unit (Information School):

Departmental Home Page
Teaching timetable

|

NOTE
Every effort has been made to ensure the accuracy of the presented information, but the University can accept no responsibility for any errors or omissions. University courses are continually reviewed and revised. The University reserves the right to discontinue courses of study and to amend Ordinances and Regulations governing courses of study whenever it sees fit. Students and others should enquire as to the up-to-date position when they need to know this.

URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites.

Western Bank, Sheffield, S10 2TN, UK