Powered by
Completion
CERTIFICATE
Statistical Thinking for Industrial Problem Solving
Master statistical methods for industrial problem solving using JMP software. Learn data analysis, experimental design, and predictive modeling.
Course Cost
₹ 2,699
Beginner
Skill Level
49 Hours
Self-paced lessons
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.
10,057 Enrolled
English
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
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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
Payment options
Financial Aid
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.8
37
Reviews
10,324
Students
1
Course
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.