Statistical Discovery for Engineering and Science – a hands-on workshop using JMP®
March 9 @ 9:30 AM - 5:00 PM
We are happy announce a one-day hands-on workshop using JMP in the Auditorium of Department of Aerospace Engineering, IISc on 9th March. Please find below a brief information about the workshop. For a detailed information please visit our website https://abcmc.iisc.ac.in/events/
Overall Objectives
Introduce JMP as a powerful, user-friendly platform for data visualization, statistical discovery, research methods, predictive modeling, and Multivariate analysis.
Demonstrate domain-specific applications of JMP. Facilitate hands-on learning through a practical workshop on Statistics, Predictive Modeling and data visualization topics.
Highlight the strategic value of integrating JMP into IISc’s teaching, learning, and research ecosystems.
About JMP:
JMP® (pronounced “jump”) is a powerful statistical discovery software designed for dynamic data visualization, statistical analysis, predictive modeling, and design of experiments (DOE). First launched in 1989, JMP is developed by SAS Institute Inc., a global leader in analytics based in Cary, North Carolina, USA.
Widely used in Industry, academia, and research, JMP combines a highly interactive, visual interface with robust analytics to help users explore data, uncover patterns, and make informed decisions. Its intuitive, drag-and-drop environment makes it especially popular among scientists, engineers, and data analysts who need to perform complex analyses without requiring extensive programming.
Workshop Facilitator: Muralidhara A, PhD | Global JMP Team | 9986431959 Dr S. Nagendra, Aerospace Engineering, IISc.
Muralidhara A is part of JMP Global Team. He holds a B Tech, MBA, and PhD. He has served more than 23 years in Analytics and Data Science Industry and worked for Genpact, Target and Danske holding various leadership positions. He is also a trainer in Statistical Data Analysis, Data Science & ML and DOE (Design of Experiments) and has conducted workshops for both academic and commercial organisations. He has authored many academic case studies and a co-author of the book Machine Learning for Business Analytics from Wiley International Publications. He continues to learn and share thoughts on Statistical Thinking for Problem solving.
Please register using the link given below before 6th of March.
Registration to the workshop is free. Only limited seats, please register at the earliest.