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

Statistical Thinking for Industrial Problem Solving, presented by JMP

9,983 already enrolled

Gain insight into a topic and learn the fundamentals.
4.8

(86 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 44 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(86 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 44 hours
Learn at your own pace
96%
Most learners liked this course

What you'll 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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

229 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 10 modules in this course

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

What's included

3 videos4 readings1 app item

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.

What's included

26 videos3 readings16 assignments1 app item7 plugins

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.

What's included

50 videos31 assignments1 app item4 plugins

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.

What's included

36 videos2 readings31 assignments2 app items2 plugins

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.

What's included

41 videos3 readings26 assignments2 app items2 plugins

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.

What's included

47 videos2 readings38 assignments2 app items5 plugins

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.

What's included

43 videos2 readings30 assignments2 app items5 plugins

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.

What's included

36 videos2 readings25 assignments2 app items4 plugins

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

What's included

39 videos2 readings30 assignments2 app items

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

What's included

2 assignments1 app item

Instructor

Instructor ratings
4.8 (36 ratings)
Mia Stephens
SAS
1 Course9,983 learners

Offered by

SAS

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 86

4.8

86 reviews

  • 5 stars

    88.37%

  • 4 stars

    10.46%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    1.16%

BT
5

Reviewed on Aug 6, 2023

JR
5

Reviewed on Apr 28, 2024

FF
5

Reviewed on Sep 10, 2020

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions