About this Course
Course Description
This course introduces the concepts and methods of data mining and shows its relationship with data science. All the steps involved in knowledge data discovery will be discussed. Topics include Introduction to Data Mining, Data Understanding, Data Preprocessing, Classification Methods, Model Evaluation, Association Rule Mining, and Clustering Methods. The course is hosted using accessible technology known as WEKA (Waikato Environment for Knowledge Analysis) that is web-based on an easy-to-use learning platform. In addition, some simple assessments and activities, such as quizzes and lab exercises, have been included in each topic.
Course Learning Outcomes
1 ) Demonstrate information management and retrieval skills related to data mining project
2 ) Evaluate the data mining models based on performance criteria
3 ) Build data mining models based on the given tasks using an appropriate method
4 ) Assess the methods of data mining related to real application in data science
Course Details
STATUS : Open DURATION : FLEXIBLE EFFORT : 3 hours perweek MODE : 100% Online COURSE LEVEL : Beginner LANGUAGE : English CLUSTER : Science & Technology ( ST )
