• Online, Instructor-Led
  • Online, Self-Paced
Course Description

This module provides an overview  of basic concepts in data mining and main methodologies and approaches used for knowledge discovery from data. Topics include the definition of data mining field; data mining process; data preprocessing; predictive and descriptive data mining; evaluation of data mining models; and privacy and security of data. The module uses case studies from healthcare applications.

Learning Objectives

During the course we will try to answer some of the following questions emphasizing the techniques and methodologies developed to support research, development, and applications in this new field. What is data mining? Why data mining: motivation and benefits? What kind of data to mine? When to mine the data? How to organize the mining process? What are challenges in data mining?

Framework Connections