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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
Program Director & Instructors
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.
Program Director
Susan Ottmann