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.
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
You must complete an online quiz with a passing score of 50% (i.e., 5 out of 10 questions). You will be given multiple attempts to achieve the passing score. The system will only capture the highest of the scores.