Back to Statistical Thinking for Industrial Problem Solving, presented by JMP
Learner Reviews & Feedback for Statistical Thinking for Industrial Problem Solving, presented by JMP by SAS
About the Course
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to:
• Explain the importance of statistical thinking in solving problems
• Describe the importance of data, and the steps needed to compile and prepare data for analysis
• Compare core methods for summarizing, exploring and analyzing data, and describe when to apply these methods
• Recognize the importance of statistically designed experiments in understanding cause and effect
Top reviews
Filter by:
1 - 1 of 1 Reviews for Statistical Thinking for Industrial Problem Solving, presented by JMP
By Aditya A
•Jun 20, 2020
An extremely well-designed and informative course which not only made me familiar with JMP, but also cleared many of my concepts on hypothesis testing, quality control, DOE, measurement system analysis and regression modelling. I had taken a few Six Sigma courses in the past, but I could truly appreciate the topic only after completing this course. A great learning experience!
© 2020 Coursera Inc. All rights reserved.
