Statistical Thinking for Industrial Problem Solving, presented by JMP
About this 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
83/100
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- 32/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
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What you'll learn
- Explain the importance of statistical thinking in problem-solving
- Describe the steps needed to compile and prepare data for analysis
- Compare various methods for summarizing and analyzing data
- Recognize the role of statistically designed experiments in understanding cause and effect
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