Statistical Thinking for Industrial Problem Solving, presented by JMP

Coursera MOOC / Non-credit USD 39
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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

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

Skills you'll gain

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