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Course Outline
Day 1
- Course and Individual Introductions
- Establish a leader’s role in Decision Driven Data Analytics
- Overview of the role of Data Analytics
- Introduction to Descriptive Analytics, Data Management, Dashboards and Capability Analysis
Day 2
- Day 1 Recap
- Introduction to Causal Analytics
- Overview of the most effective types of causal analytics
- Introduction to design of experiments for analytics
Day 3
- Day 2 Recap
- Introduction to Predictive Analytics
- Use of Machine Learning to develop a Predictive Model
- Use of Response Surface Methods to develop a Predictive Model
Day 4
- Day 2 Recap
- Introduction to Prescriptive Analytics
- Optimization with your causal and predictive analytics algorithms
- How to take action based on all of these 4 days
- Bringing It All Back Together
Additional Information
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.
Attendees are able to earn a digital badge as evidence of the knowledge they obtained during the course. Digital badges are micro-credentials that can be earned by successfully completing application exercises woven throughout the course.
Click here for information on digital badges.
This course is part of the Technical Leadership Certificate and Manufacturing Excellence Certificate series. Course may be taken individually as well.
Course Schedule
Event Dates/Times:
- 3/2/2026 8:30am - 12:30pm Central Time
- 3/3/2026 8:30am - 12:30pm Central Time
- 3/4/2026 8:30am - 12:30pm Central Time
- 3/5/2026 8:30am - 12:30pm Central Time
Course Notes
This is a live online course that uses the Zoom and Canvas platforms. The registration confirmation will guide students through accessing the Canvas course site.
Students will create and log in to the Canvas course site with a NetID. Course assets such as instructional materials, participation certificates, and course evaluations will be available to all students through the Canvas course site.
The course materials are all digital and only available on the Canvas course website.
Online attendees will access sessions via the Zoom web conferencing platform. The Zoom link will be provided a few days before the course.
Please watch the email address you provided during registration for release dates and pre-course information.
Program Director & Instructors
Program Director
Susan Ottmann
Instructor
Anthony Orzechowski
Director R&D Data Analytics
Tony instructs courses in Applied Analytics in several master's programs at the University of Wisconsin – Madison and Northwestern University. These course focus on providing students with the immediate ability to lead improvement and innovation in their careers through analytics.
Tony is the recently retired Director of R&D Data Analytics at Abbott Laboratories, where he oversaw a broad spectrum of analytics responsibilities, ranging from statistics, reliability and quality engineering to data management, advanced analytics, and business decision support.
In his role at Abbott, Tony’s organization supported the development of diagnostic products currently contributing over $4 billion in annual worldwide revenue. With nearly 40 years of industry experience, he has served in leadership roles in both the automotive supply and medical diagnostics sectors, where he also championed use of Lean and Six Sigma methods in operations and product development as a Master Black Belt.
In his new entrepreneurial venture, Tony leads Convergent Analytics, an analytics consulting firm. Here, his focus is on helping companies improve through the use data analytics and maximize these capabilities through generative AI. His efforts aim to equip the next generation of engineers, scientists and analysts with the tools and insights needed to solve the complex challenges that industries will face today and tomorrow.