Data Analytics for Technical Leaders

This course is focused on providing attendees with the methods to drive more effective decisions and actions through data analytics in an industrial setting.  The course will emphasize the use of visual methods to achieve this.  Course discussion will cover applied use of descriptive, causal, predictive, and prescriptive analytics.

Approach - The course will present the use of data analytics to tackle five major challenges common in industrial settings.  These topics include how to:

• Describe the performance of a product or business process
• Make risk-based decisions in the presence of uncertainty in our data
• Identify the input factors that drive outcome performance
• Optimize the performance of our products or business processes
• Communicate analytical results that will drive business decisions and drive action

Classes will be comprised of a lecture and discussion format.  Example data sets are used in class to illustrate the methods and hands-on team assignments are completed by student teams outside of class to reinforce learning.

The two key outcomes of the course for each student are to demonstrate the ability to:

• Obtain meaning from data
• Effectively communicate this meaning to others to drive decisions and actions