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Course Outline
Day 1: Analytics Foundations with R
Module 1: Basics of R, Getting Data into R, Data Manipulation in RModule 2: Data Visualization, From Data to Insights
Module 3: Classification & Supervised Models in R
Module 4: Clustering & Unsupervised Learning in R
Module 5: Frequent pattern mining in R
Day 2: Advanced Analytics & Applications with Python
Module 6: Introduction to Python for Data AnalyticsModule 7: Failure Event Modeling Approaches in Python
Module 8: Anomaly Detection with SPC & AI Models
Module 9: Deep Learning for Data Analytics
Module 10: Time Series Forecasting in Python
Course Schedule
Registration Date/Time:
6/16/2026 8:0am Central Time
Event Dates/Times:
- 6/16/2026 8:00am - 12:00pm Central Time
- 6/19/2026 8:00am - 12:00pm Central Time
Instructor and Program Director
Instructor
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 ReliabilityProgram Director
James Rink