FRIDAY SEMINAR
Speaker: Dr. Muralidhara Anandamurthy
Date: 21st March 2025 [Friday]
Time: 03:30 PM
Venue: Seminar Hall [Management Studies]
Title: “Enhance Teaching & Research with JMP – FREE for Academia”
Abstract:
Introduction of JMP Software, a leading statistical discovery tool (No code data analysis tool) that empowers faculty and students in statistical data analysis by making data analysis more intuitive and interactive. Whether for teaching statistics, analytics, research, operations, JMP offers a no-code, visual approach to data exploration and decision-making.
Key capabilities of JMP for teaching and research include:
Data Visualization and Exploratory Data Analysis
Statistics and Predictive Modeling (ML), Deep Learning
Research Methods and Multivariate analysis including SEM
Time Series and Text Analytics
Quality Engineering, Process and Six Sigma (DMAIC)
Design of Experiments (DOE) – Simulation and Optimization
Reliability and Survival Analysis
Statistical Genetics
The best part? JMP is FREE for faculty, students, and research scholars through the JMP Academic Program, making it a valuable resource for both classroom instruction and academic research. Feel free to download the fully functional JMP software from www.jmp.com/student. (I have given a link for a step by step guide for JMP installation and feel free to share with your students, researchers and colleagues)
Brief Profile: Dr. Muralidhara is part of JMP Global Academic Team and Collaborates with Professors and Universities for Statistical and Analytical Excellence. He holds a B Tech from Bangalore University, MBA and PhD from Visvesvaraya Technological University. He has served more than 15 years in Analytics Industry and worked for Genpact, Target and Danske holding various leadership positions. He continues to learn and share in the area of Analytics, Data Science and Statistical Thinking. He currently works as an Academic Ambassador for Global Academic Team of JMP where his role is to orchestrate the statistical and analytical thinking by collaborating with Universities. JMP is a statistical Discovery from SAS for Engineers, Scientists and
ALL ARE WELCOME