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Principles of Data Mining
Engineering - OLD Program
London, England
Dates: 8/29/18 - 12/15/18
Principles of Data Mining
OVERVIEW
CEA CAPA Partner Institution: London South Bank University
Location: London, England
Primary Subject Area: Computer Sciences
Instruction in: English
Transcript Source: TBD
Course Details: Level 400
Recommended Semester Credits: 4
Prerequisites: Essential knowledge of statistics and database
systems. Elementary computer programming skills
(in an arbitrary programming language).
DESCRIPTION
Data mining is a fast-growing, exciting and challenging area in IT and computer science, both theoretically
and practically. ?Making sense and making use of data? is the main theme of the subject. Data mining
techniques are essentail to business intelligence, and enable business managers to make profitable use
of the massive data their enterprises collect. This module will provide a broad introduction to the basic
theory, concepts, and techniques of data mining, as well as its main application areas and its role in the
context of business intelligence. In addition, SAS® Enterprise Miner® and SAS® Enterprise Guide®, a
leading commercial business intelligence software suite, will be taught and used throughout the module in
order for you to develop practical skills in solving real-world data mining problems. This modeul is the
second specialist module for the Business Intelligence pathway.
and practically. ?Making sense and making use of data? is the main theme of the subject. Data mining
techniques are essentail to business intelligence, and enable business managers to make profitable use
of the massive data their enterprises collect. This module will provide a broad introduction to the basic
theory, concepts, and techniques of data mining, as well as its main application areas and its role in the
context of business intelligence. In addition, SAS® Enterprise Miner® and SAS® Enterprise Guide®, a
leading commercial business intelligence software suite, will be taught and used throughout the module in
order for you to develop practical skills in solving real-world data mining problems. This modeul is the
second specialist module for the Business Intelligence pathway.