Data Analytics for Technical Leaders

This newly updated course empowers engineers and technical managers to lead more effectively by leveraging modern data analytics in industrial and technical environments. Participants explore the full analytics spectrum, from understanding past performance to optimizing future outcomes, using visual tools, Excel, and structured decision-making frameworks. With a strong emphasis on practical application, the course blends lectures, discussions, and hands-on exercises to reinforce learning and build confidence in data-driven leadership. Participants will leave with a reusable Excel analysis file to support future data-driven decisions.

Learning Outcomes:

Apply descriptive, causal, predictive, and prescriptive analytics to real-world engineering and business problems.
Communicate data-driven insights clearly to influence decisions and drive organizational action.
Use optimization and visualization techniques to improve product and process performance.
Leverage advanced Excel tools to perform analytics for specific applications

Who Should Attend:

Engineers seeking to enhance their decision-making with data.
Engineering managers responsible for performance, quality, or innovation.
Technical professionals transitioning into leadership or supervisory roles.

Course Details: RA01793-E198

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 3 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

Course Schedule

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.

Instructor and Program Director

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.
Program Director
Susan Ottmann

Additional Information

Total Credits:

CEU 1.6,

PDH 16,

Applies to these Certificates:

Manufacturing Excellence,

Quick Response Manufacturing,

Technical Leadership,

Course Administration

Fee Information

This is an online only course. Your fee includes course materials and live online instruction.

Discounts

Team Discount. Receive 10% off the registration fee, per person when 3 or more people from the same organization enroll. Team affiliation will be confirmed during the registration process.

Payment Options

If you are planning to attend an Interdisciplinary Professional Programs course, payment is required at the time of registration. Below are the payment options:

Pay by Credit Card

Enroll online and pay by credit card.

Search for the course on the website and then click on the Enroll Now button from the course webpage.
Enter all necessary course attendee information and payment information on the course enrollment page.
You will receive an email to confirm successful enrollment and payment.

Enroll over the phone and pay by credit card.

Call CERC Registrations at 608-262-2451.
Provide the registrations representative with:
- the course name, dates, and/or course number.
- the necessary course attendee information and payment information.
You will receive either a mailed document or an email to confirm successful enrollment payment.

Pay by Check

Mail in a completed registration form and check payable to UW Madison.

Fill out a registration form (found either in the back of the course brochure you received in the mail or here).
Prepare a check, made payable to UW Madison.
Mail the registration form and check to: CERC Registrations 21 N Park St, Ste 7101 Madison, WI 53715
You will receive either a mailed document or an email to confirm successful enrollment and payment.

Pay by Purchase Order

Request Purchase Order information from registration@cerc.wisc.edu
- If a fee quote is needed, contact custserv@interpro.wisc.edu first
You will receive an invoice from UW–Madison Business Services for payment, usually within 3–5 business days

Military

If using SF-182 form, please call our registration number at 608-262-2451 or email registration@cerc.wisc.edu for details and instructions.

Event Cancellation

We reserve the right to cancel a course due to insufficient enrollment or unforeseen events. If we cancel a course, participants will be notified via email or phone and will be given the option for a full refund or to transfer their registration and any fees paid to another course. We are not responsible for non-refundable plane tickets, hotel reservations, and other travel related expenses. For enrollee Course Cancellation, refer to notes on course page.

Cancellation Policy

Once you have accessed the online course, exam and/or materials, no cancellations or refunds are permitted.

Great content, instructor was definitely an expert in the subject and has passion for the subject which helps keep the students engaged. - Chris Gerold

There was good references in this course to career applications and Tony was very passionate and knowledgeable about the topic. - Jerrad Lopp

Instructor is very knowledgeable and had a lot of examples and is very passionate about data analytics. - Jason Berry

Create a custom learning experience

We can deliver this course as an on-site learning experience tailored to your organization’s specific training needs.

Data Analytics for Technical Leaders

Learning Outcomes:

Who Should Attend:

Stay Connected

Course Details: RA01793-E198

Course Outline

Course Schedule

Course Notes

Instructor and Program Director

Additional Information

Course Administration

Fee Information

Discounts

Payment Options

Pay by Credit Card

Enroll online and pay by credit card.

Enroll over the phone and pay by credit card.

Pay by Check

Mail in a completed registration form and check payable to UW Madison.

Pay by Purchase Order

Military

Event Cancellation

Cancellation Policy

Create a custom learning experience

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Data Analytics for Technical Leaders

Data Analytics for Technical Leaders