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:

# Statistical Thinking for Industrial Problem Solving, presented by JMP

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## Statistical Thinking for Industrial Problem Solving, presented by JMP

SAS## About this Course

No prior knowledge of statistics or experience with JMP software is required.

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business## What you will learn

How to describe data with statistical summaries, and how to explore your data using advanced visualizations.

Understand statistical intervals, hypothesis tests and how to calculate sample size.

How to fit, evaluate and interpret linear and logistic regression models.

How to build predictive models and conduct a statistically designed experiment.

## Skills you will gain

- Experimental Design
- Data Analysis
- Data Visualization (DataViz)
- Statistical Hypothesis Testing
- Statistics

No prior knowledge of statistics or experience with JMP software is required.

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business## Offered by

### SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

## Syllabus - What you will learn from this course

**19 minutes to complete**

### Course Overview

In this module you learn about the course and about accessing JMP software in this course.

**19 minutes to complete**

**3 videos**

**4 readings**

**2 hours to complete**

### Module 1: Statistical Thinking and Problem Solving

Statistical thinking is about understanding, controlling and reducing process variation. Learn about process maps, problem-solving tools for defining and scoping your project, and understanding the data you need to solve your problem.

**2 hours to complete**

**26 videos**

**3 readings**

**16 practice exercises**

**6 hours to complete**

### Module 2A: Exploratory Data Analysis, Part 1

Learn the basics of how to describe data with basic graphics and statistical summaries, and how to explore your data using more advanced visualizations. You’ll also learn some core concepts in probability, which form the foundation of many methods you learn throughout this course.

**6 hours to complete**

**50 videos**

**31 practice exercises**

**6 hours to complete**

### Module 2B: Exploratory Data Analysis, Part 2

Learn how to use interactive visualizations to effectively communicate the story in your data. You'll also learn how to save and share your results, and how to prepare your data for analysis.

**6 hours to complete**

**36 videos**

**2 readings**

**31 practice exercises**

**6 hours to complete**

### Module 3: Quality Methods

Learn about tools for quantifying, controlling and reducing variation in your product, service or process. Topics include control charts, process capability and measurement systems analysis.

**6 hours to complete**

**41 videos**

**3 readings**

**26 practice exercises**

**7 hours to complete**

### Module 4: Decision Making with Data

Learn about tools used for drawing inferences from data. In this module you learn about statistical intervals and hypothesis tests. You also learn how to calculate sample size and see the relationship between sample size and power.

**7 hours to complete**

**47 videos**

**2 readings**

**38 practice exercises**

**6 hours to complete**

### Module 5: Correlation and Regression

Learn how to use scatterplots and correlation to study the linear association between pairs of variables. Then, learn how to fit, evaluate and interpret linear and logistic regression models.

**6 hours to complete**

**43 videos**

**2 readings**

**30 practice exercises**

**5 hours to complete**

### Module 6: Design of Experiments (DOE)

In this introduction to statistically designed experiments (DOE), you learn the language of DOE, and see how to design, conduct and analyze an experiment in JMP.

**5 hours to complete**

**36 videos**

**2 readings**

**25 practice exercises**

**6 hours to complete**

### Module 7: Predictive Modeling and Text Mining

Learn how to identify possible relationships, build predictive models and derive value from free-form text.

**6 hours to complete**

**39 videos**

**2 readings**

**30 practice exercises**

**1 hour to complete**

### Review Questions and Case Studies

In this module you have an opportunity to test your understanding of what you have learned.

**1 hour to complete**

**2 practice exercises**

## Reviews

- 5 stars86.36%
- 4 stars12.12%
- 1 star1.51%

### TOP REVIEWS FROM STATISTICAL THINKING FOR INDUSTRIAL PROBLEM SOLVING, PRESENTED BY JMP

one of the best course for data discovery , nice example and flow of course

Really good course, learnt a tremendous amount.

Thanks

This course it's incredibly well structured, I relly enjoyed learning with it!

very interesting course and i get a lot of things

than you very much

## Frequently Asked Questions

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.