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Turning Data Into Insight: A Hands On Tableau Short Course

This course introduces engineers to the principles and practices of effective data visualization using Tableau. The course emphasizes how to leverage data for impact through clear, compelling, and actionable visuals. Participants will gain hands-on experience with Tableau’s core functions, including gathering, cleansing, and preparing data for analysis. Through guided exercises and sample datasets, learners will build the skills needed to convert raw data into meaningful insights that enhance engineering analysis and support better decision-making.

Interested in this course, but still have questions? Join one of our upcoming Live Discussions with Course Instructor Dr. Kaibo Liu to explore the content ahead of time. Participation is free! Join a Live Discussion on May 11.

Reserve your seat and find out if this course is right for you!

Learning Outcomes:

Apply best practices in data preparation, including gathering, cleansing, and structuring data for effective visualization in Tableau.
Design and build interactive dashboards and visualizations to highlight key insights and support engineering problem-solving.
Interpret and communicate data findings with clarity and impact, using Tableau to tell a compelling story for technical and non-technical audiences.

Who Should Attend:

Manufacturing, process, and quality engineers aiming to apply analytics to improve performance and reliability.
Operations and continuous improvement leaders seeking to integrate predictive and diagnostic models into decision-making.
Data analysts and technical managers looking to evolve from basic analytics to decision-smart insights enabled by vivid, intuitive visualizations

Course Details: RA00119-E106

Course Outline

Day 1

Course Introduction
Module 1: Overview of Data Visualization & Tableau
Module 2: Introduction to Tableau Functions
Module 3: Calculation Functions in Tableau
Module 4: Mapping Functions in Tableau
Exercise
Q & A

Day 2

Day 1 Recap
Module 5: Data Preprocessing with Tableau Prep
Exercise
Module 6: Project Datasets Overview & Problem Formulation
Q & A

Day 3

Day 2 Recap
Module 7: Advanced Tableau Techniques
Exercise
Project Problem Formulation Workshop
Q & A

Day 4

Module 8: Capstone Project: Preparation & Presentation
Course Summary
Post-course support resources

Course Schedule

Instructors and Program Director

Instructors
Kaibo Liu
Dr. Kaibo Liu (Grainger STAR Professor, Industrial and Systems Engineering)

Dr. Kaibo Liu is currently the Grainger STAR Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison and serves as the Associate Director of the UW-Madison IoT Systems Research Center. He earned his B.S. degree in Industrial Engineering and Engineering Management from the Hong Kong University of Science and Technology, an M.S. degree in Statistics, and a Ph.D. degree in Industrial Engineering from the Georgia Institute of Technology. Dr. Kaibo Liu’s research is in system informatics and big data analytics, with an emphasis on the data fusion approach for system modeling, monitoring, diagnosis, prognostics, and decision making. His research has been successfully funded by NSF, ONR, AFOSR, ERDC, DOE, NIH, and Industry.

He is the recipient of three prestigious early career awards, including the 2019 Outstanding Young Manufacturing Engineer Award by SME, the 2019 Feigenbaum Medal Award by ASQ, and the 2019 Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award by IISE. He is also the winner of the Innovations in Education Award from IISE in 2020 and the Award for Technical Innovation in Industrial Engineering from IISE in 2021. He received the honor of the Georgia Tech Alumni Association’s 40 Under 40 and Ragnar E. Onstad Service to Society Award from UW-Madison.

In 2024, he received the prestigious Hromi Medal Award from ASQ. Dr. Kaibo Liu is currently serving as a senior editor of IEEE Transactions on Automation Science and Engineering and as the focus issue editor of IISE Transactions on Data Science, Quality, and Reliability
Ying Fu
Program Director
James Rink

Total Credits:

CEU 1.4,

PDH 14,

Course Administration

Fee Information

Fee covers instruction and course materials.

Discounts

Receive 10% off the registration fee per person when 3-7 individuals from the same organization enroll.

Receive 15% off the registration fee per person when 8 or more individuals from the same organization enroll.

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

If you cannot attend, please notify us no later than one week before your course begins, and we will refund your fee. Cancellations received after this date and no-shows are subject to a $150 administrative fee. You may enroll a substitute at any time before the course starts.