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
Statistical Thinking for Industrial Problem Solving, presented by JMP
位教师：Mia Stephens
11,816 人已注册
包含在 
中
您将学到什么
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.
您将获得的技能
- Data Collection
- Exploratory Data Analysis
- Probability & Statistics
- Statistical Analysis
- Statistical Hypothesis Testing
- Correlation Analysis
- Statistical Modeling
- Statistical Methods
- Statistical Visualization
- Data Analysis
- Data-Driven Decision-Making
- Data Visualization
- Statistical Inference
- Predictive Modeling
- Regression Analysis
- Statistics
- Data Compilation
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
229 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有10个模块
In this module you learn about the course and about accessing JMP software in this course.
涵盖的内容
3个视频4篇阅读材料1个应用程序项目
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.
涵盖的内容
26个视频3篇阅读材料16个作业1个应用程序项目7个插件
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.
涵盖的内容
50个视频31个作业1个应用程序项目4个插件
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.
涵盖的内容
36个视频2篇阅读材料31个作业2个应用程序项目2个插件
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.
涵盖的内容
41个视频3篇阅读材料26个作业2个应用程序项目2个插件
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.
涵盖的内容
47个视频2篇阅读材料38个作业2个应用程序项目5个插件
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.
涵盖的内容
43个视频2篇阅读材料30个作业2个应用程序项目5个插件
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.
涵盖的内容
36个视频2篇阅读材料25个作业2个应用程序项目4个插件
Learn how to identify possible relationships, build predictive models and derive value from free-form text.
涵盖的内容
39个视频2篇阅读材料30个作业2个应用程序项目
In this module you have an opportunity to test your understanding of what you have learned.
涵盖的内容
2个作业1个应用程序项目
位教师
授课教师评分
4.8 (38个评价)提供方
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人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
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''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.8
98 条评论
- 5 stars
87.75%
- 4 stars
10.20%
- 3 stars
0%
- 2 stars
1.02%
- 1 star
1.02%
显示 3/98 个
LH
4
已于 Nov 8, 2023审阅
All things are good, the topics which is covered in that course very useful to understand the data and decision making lability .
KS
5
已于 Oct 31, 2024审阅
Great course, gives a good basis and good overview, explains stats in a very understandable way
JR
5
已于 Apr 28, 2024审阅
The virtual lab environment is a great way to get hands on experience.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.
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.
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.
更多问题
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