INSY 662 — Data Mining and Visualization

The course will teach practical analytics methods and use R (a tool widely used by data analysts) to provide hands on experience on the data mining techniques covered in the class. The focus of the course is on the application of the tools and techniques rather than learning the theory and math behind the models. This course builds upon concepts of data manipulation and coding seen in INSY 660 and covers these tools and techniques in much more depth. Students will be exposed to real world datasets and examples to get hands-experience with making business decisions using dating mining and predictive analytics, and provide R code to apply the predictive models learned in class. At end of this course students will be comfortable using different data mining techniques to solve business problems on their own using R.

• Rating: 5.00 out of 5 from 19 student reviews
• Difficulty: 4.00 out of 5
• Credits: 3
• Faculty: Graduate Studies
• Department: Management

Sections offered

• Section 075 (Lec), Tue Thu 1:05-2:25 pm — unknown seats open
• Section 076 (Lec), Tue Thu 10:05-11:25 am — unknown seats open