Statistical Thinking for Industrial Problem Solving, presented by JMP

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课程主页: https://www.coursera.org/archive/statistical-thinking-applied-statistics

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课程大纲

Module 1: Statistical Thinking and Problem Solving
Module 2A: Exploratory Data Analysis, Part 1
Module 2B: Exploratory Data Analysis, Part 2
Module 3: Quality Methods
Module 4: Decision Making with Data
Module 5: Correlation and Regression
Module 6: Design of Experiments (DOE)
Module 7: Predictive Modeling and Text Mining
Review Questions and Case Studies

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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:

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