CET182 Introduction to Data Mining

Course Provider

Wee Kim Wee School of Communication and Information (WKWSCI)



Academic Unit



This course will benefit individuals by upgrading their technical knowledge and skills in the area of data analytics, which can be used in Information and communications technology (ICT) sectors to aid in analyzing any kind of data.

This course aims to get learners to know the following:

1. What is Data Mining; What tasks are inherent to the discipline?
2. What types of data are there and how to work with the data?
3. Understand core concepts of 4 most important data analytics tasks: classification, clustering, association rule mining, and anomaly detection.

This course is part of:

- Graduate Certificate in Information Management and Analytics
- FlexiMasters  in Information Management and Analytics

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At the end of this course, learners should be able to:

• Appreciate the basics of data analytics.
• Understand the advantages and disadvantages of different data analytics techniques.
• Work on practical problems that can be solved using data analytics techniques.

Learners will learn the following topics in the course:

• Principles and concepts of data analytics.

• Various data analytics techniques: Preparation of data sets for analytics, Data Exploration, Classification (e.g., decision tree, nearest-neighbor classifier, Bayesian classifier, and SVM), Association Analysis (e.g., apriori algorithm), Cluster Analysis (e.g., K-means, Agglomerative Hierarchical Clustering, and dbscan) and Anomaly Detection (e.g., proximity-based outlier detection).

• Solving real data analytics tasks and analyzing the results.

Working adults from the industry with some experience in information technology and related fields would better appreciate the course. 

Good communication skills (written and spoken English) are recommended as some assessment components may require presentations and report writing.

Standard Course Fee: S$4,860

SSG Funding Support


Course fee payable after SSG funding, if eligible under various schemes


Fee BEFORE funding & GST

Fee AFTER funding & 8% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Read more about funding
CET180 Information Discovery in the Age of the Internet3
CET181 Information Retrieval Systems and Techniques3
CET183 Information Visualization Techniques3
CET184 Python for Data Analytics3
CET185 Knowledge Management Tools3

Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Information Management and Analytics (total 9AUs) and FlexiMasters in Information Management and Analytics (total 15AUs).
  • SkillsFuture Credit approved.