Basic Data Mining for Decision Making
SUSS Academy
About this course
This course introduces the definition and methodology of data mining as well as the major data mining techniques. Association analysis concepts, its applications, clustering concepts, applications and issues are discussed.
Credit Unit: 1
Kindly note that this course is exclusively available only for NSF. NSF enrolling into SUSS as New Undergraduate will be eligible for 5 cu credit recognition if they have completed a group of 5 UniLEARN courses (1 cu each).
Please approach, Student Recruitment (student_recruitment@suss.edu.sg) or UniLEARN (unilearn@suss.edu.sg) if you require further assistance.
Course Access Period
Please note that this is an online self-paced asynchronous course where learners will be granted one month of access from the enrolment date.
What you will learn
By the end of this course, you should be able to
- Define the various aspects of data mining
- Describe the data mining methodology i.e. CRISP-DM framework
- List the pre-requisites and limitations of data mining
- Interpret the results of association analysis
- Assess applications of association analysis
- Assess applications of clustering
- Interpret the results of clustering
