This course provides a comprehensive discussion to data mining (DM) problems, and introduces DM tools to enhance business decision making in common business contexts – accounting, sales, marketing, customer relationship management, etc. Through this course, students will understand the process and concepts of data mining approach, be familiar with mainstream techniques and their potential pitfalls when delivering business intelligence solutions, and be able to adopt appropriate data visualization tools to create and study the visual presentation of data. Students will work extensively with commonly used business data mining software in analyzing realistic business datasets. Upon the completion of this course, student will gain data analytical skills for effective digital storytelling, business communication, and presentation.

CILO-1: Discuss the relevant concepts of data mining for the delivery of business intelligence. CILO-2: Evaluate a range of new methodologies and technologies for data mining from business data. CILO-3: Critically discuss the strengths and pitfalls of various data mining processes and methodologies. CILO-4: Identify, formalize and solve business problems by effectively using the most appropriate DM techniques. CILO-5: Discuss and present analytical results using visualization tools.