Fundamentals of Data Mining

CET Course | SkillsFuture Claimable Course

Applications Open: 01 October 2024

Applications Close: 15 November 2024

Next Available Intake: January 2025

Course Types: Modular Undergraduate Course, SkillsFuture Series

Language: English

Duration: 6 months

Fees: $1392 View More Details on Fees

Area of Interest: Business Administration

Schemes: Alumni Continuing Education (ACE)

Funding: SkillsFuture

School/Department: School of Business

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Synopsis

Fundamentals of Data Mining (ANL303) introduces students to the process and applications of data mining. Students will learn to appraise possible data mining solutions to address different types of business problems. Apart from learning to explore and prepare data for mining, they will be equipped with the basic skills and knowledge in constructing, interpreting, and evaluating data mining results or models. They will also be exposed to applying data analytics using a suite of tools including cloud services.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

Introduction to data mining
Types of data mining
Applications of data mining
Cross-industry standard process for data mining
General data quality issues and treatments
Preparing data for different types of mining tasks
Introduction to association rule mining
Introduction to cluster analysis
Introduction to predictive modelling
Model evaluation and result interpretation
Introduction to clouds analytics
Applying clouds analytics

Learning Outcome

Discuss various aspects of formulating data analytics solutions
Appraise the application of data analytics in a given context
Recommend appropriate analytics solutions in a given context
Construct analytics models/results as part of solutions to address business problems
Evaluate the performance of analytics models
Analyse the results or outputs of analytics models

Full-time Programmes Part-time Programmes / CET Courses

Singapore University of Social Sciences