Professional Development Courses

Join us today and unlock your full potential for success in the rapidly changing world of engineering and technology. UW-Madison’s College of Engineering (COE) is a leading professional development organization dedicated to empowering engineers and technical professionals with the skills and knowledge necessary to thrive in their fields. We offer a wide range of cutting-edge courses designed to enhance professional growth and provide opportunities for career advancement. Our expert instructors, both faculty and industry veterans, deliver engaging and practical training sessions that bridge the gap between theory and real-world applications. Whether you are looking to deepen your expertise in a specific technical area, stay abreast of the latest industry trends, or broaden your skill set to adapt to evolving challenges, UW-Madison’s College of Engineering is your trusted partner in engineering professional development.

 

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Courses (6)

  • Topics

Data Analytics for Technical Leaders

Upcoming Dates
  • Feb. 23-26, 2026 (D814)
    Live Online
    $1,495
Unlock the power of data to lead with confidence—this course equips technical leaders with practical analytics tools to make smarter, faster decisions. Through hands-on exercises and real-world examples, you'll learn how to extract insights and effective leadership decisions using descriptive, causal, predictive, and prescriptive analytics.
Customizable
RA01793

Supply Chain Analytics

Upcoming Dates
  • Apr. 21-22, 2026 (E119)
    Madison, WI or Live Online
    $1,495
While 91% of organizations surveyed by APQC indicated use of analytics as effective or very effective, 39% lack people with the necessary skills to perform the required analysis. In this hands-on course, participants with varying technical proficiency will gain a better understanding of how to apply advanced data methods to help solve their supply chain and operations challenges.
Customizable
RA00109

Turning Data Into Insight: A Hands On Tableau Short Course

Upcoming Dates
  • Jun. 9-12, 2026 (E106)
    Live Online
    $1,695
This course equips engineers with practical skills to transform raw data into clear, impactful visualizations using Tableau. Participants will learn to gather, cleanse, and prepare data, then design interactive dashboards that highlight key insights for engineering decision-making. Through hands-on exercises and a project with sample data sets, learners will leave ready to communicate data findings effectively to both technical and non-technical audiences.
RA00119

Industrial Data Analytics: Models, Forecasts, and AI Tools

Upcoming Dates
  • Jun. 16-19, 2026 (E107)
    Live Online
    $1,695
This advanced data analytics course empowers engineers and technical professionals to transform complex data into actionable insights. Participants will gain hands-on experience with R and Python, applying techniques such as classification, clustering, frequent pattern mining, anomaly detection, failure event modeling, deep learning and forecasting to predict system performance and optimize processes. Emphasizing real-world industrial applications, the course bridges analytics with practical outcomes in reliability, quality, and data-driven decision-making, enabling participants to deliver measurable impact in their organizations.
RA00118

Design of Experiments

Upcoming Dates
  • Start Anytime
    Online Anytime
    $295
Unlock the power of statistically designed experiments to identify key process variables, reduce variation, and optimize performance. This self-paced course introduces factorial and fractional factorial designs, equipping participants with practical tools to drive quality improvement in industrial settings.
Customizable
RA01846

Design of Experiments in Minitab

Upcoming Dates
  • Start Anytime
    Online Anytime
    $295
Advance your skills in Design of Experiments (DOE) by learning how to apply full and fractional factorial designs using Minitab. This hands-on course empowers engineers to optimize processes and make data-driven decisions through structured experimentation.
Customizable
RA00048
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