Statistical Thinking for Industrial Problem Solving
Master statistical methods for industrial problem solving using JMP software. Learn data analysis, experimental design, and predictive modeling.
Master statistical methods for industrial problem solving using JMP software. Learn data analysis, experimental design, and predictive modeling.
This comprehensive course teaches applied statistics for scientists and engineers through JMP software. Students learn essential statistical methods including data visualization, hypothesis testing, regression analysis, and design of experiments. The curriculum focuses on practical problem-solving skills with real-world industrial applications. Through hands-on exercises and case studies, participants master statistical thinking principles, experimental design techniques, and predictive modeling approaches. The course emphasizes both theoretical understanding and practical application, preparing professionals to effectively analyze data and solve industrial problems.
4.9
(87 ratings)
10,057 already enrolled
Instructors:
English
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What you'll learn
Master data visualization and statistical analysis techniques
Apply statistical intervals and hypothesis testing
Develop skills in linear and logistic regression modeling
Design and analyze industrial experiments
Build predictive models for real-world applications
Implement quality control methods and process improvement
Skills you'll gain
This course includes:
1037 Minutes PreRecorded video
229 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 10 modules in this course
This course provides comprehensive coverage of statistical methods for industrial problem-solving. Through ten detailed modules, students progress from basic data exploration to advanced topics like experimental design and predictive modeling. The curriculum integrates theoretical concepts with practical applications using JMP software, focusing on real-world industrial scenarios. Students learn to apply statistical thinking to solve complex problems, design experiments, and make data-driven decisions.
Course Overview
Module 1 · 19 Minutes to complete
Statistical Thinking and Problem Solving
Module 2 · 2 Hours to complete
Exploratory Data Analysis, Part 1
Module 3 · 6 Hours to complete
Exploratory Data Analysis, Part 2
Module 4 · 5 Hours to complete
Quality Methods
Module 5 · 5 Hours to complete
Decision Making with Data
Module 6 · 6 Hours to complete
Correlation and Regression
Module 7 · 6 Hours to complete
Design of Experiments (DOE)
Module 8 · 4 Hours to complete
Predictive Modeling and Text Mining
Module 9 · 5 Hours to complete
Review Questions and Case Studies
Module 10 · 1 Hours to complete
Fee Structure
Instructor
Statistical Methods Expert and Technical Education Leader
Statistical Methods Expert and Technical Education Leader
Testimonials
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4.9 course rating
87 ratings
Frequently asked questions
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