Live Webinar

JMP® Statistical Discovery from SAS® Institute 


All STEM Students are very Welcome!

Part 1 – Tuesday , 13 October • 11 a.m. AEDT • Introduction & Overview

Part 2 – Wednesday, 21 October • 11 a.m. AEDT • Short Videos & Guides

Part 3 – Thursday 29 October • 11 a.m. AEDT • Case Study Demonstration

About the webinar

Learn the basics of JMP® with short videos and step-by-step guides. Over a three-part series, you will be guided through a series of introductory videos to help get you started with the basic functions of JMP. This series will guide you through some of the most commonly used steps in the data analysis process.

About JMP®

JMP® is interactive statistical discovery software from SAS® and used by scientists, analysts and engineers worldwide. JMP® is a visual and interactive tool to help you explore data, improve processes and share results. Read this link to see how to get JMP® resources whether you are faculty staff, academic research or a student.

With increased global competition comes the need to increase your skills across a range of data analysis techniques. Improving your statistical skills makes you more employable - giving you the competitive edge.

After attending the series head over to the  free online statistics course , click enroll now and follow the Statistical Thinking and Problem Solving pathway. Your digital Learn JMP Badge for Statistical Thinking and Problem Solving will be offered to you when you pass the Statistical Thinking and Problem Solving quiz.

Register your interest

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About the Experts


Bass Masri

I have a passion for statistics and analytics with more than 20 years of work experience in engineering, science and process improvement. My tertiary education includes a Bachelor’s Degree in Science (Mathematics and Statistics Majors) and Masters in Applied Statistics from Macquarie University, Sydney.

SAS® Institute is the global leader in business analytics software and services. JMP® is a division of SAS® that produces interactive statistical discovery software. In this technical advisory role, I partner with customers to improve quality, reduce time to market and lower costs by exploring, visualizing and analyzing data.

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