Six Sigma Statistics Using Minitab 17

Confidently Apply Statistical Concepts To Your Six Sigma Projects Using Minitab 17 - Get 11.0 PMI PDUs / SHRM PDCs

4.58 (2140 reviews)

Udemy

platform

English

language

IT Certification

What you will learn

Understand statistical concepts from basic up to Six Sigma Black Belt level for thorough knowledge.

Master Minitab for conducting advanced statistical analysis and improving processes.

Prepare for certification exams such as ASQ CQE, SSGB, SSBB, and many more with enhanced statistical understanding.

Perform complex statistical analyses confidently and interpret data accurately using Minitab.

Apply statistical tools and techniques in real-world scenarios to solve problems and drive improvements.

Make data-driven decisions by conducting thorough data analysis using Minitab.

Boost your career prospects and advancement opportunities by mastering Six Sigma statistics and Minitab.

Course Gallery

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Comidoc Review

Our Verdict

This Six Sigma Statistics Using Minitab 17 course is a well-structured, solid introduction to essential statistical concepts and principles for process improvement. While there are opportunities for more in-depth Minitab instruction and specific attention to certain topics, such as AAA and Descriptive vs. Inferential Statistics video, the strength of the instructor's clear instruction compensates for these shortcomings. Overall, this course is suitable for professionals interested in expanding their understanding of Six Sigma methodologies.

What We Liked

Comprehensive coverage of Six Sigma statistics, from basic to Black Belt level
Instructor Sandeep Kumar is knowledgeable, organized, and clear in instructions
The course effectively teaches Minitab functions for advanced statistical analysis
Content serves as a great crash course or quick refresher for Six Sigma statistics concepts

Potential Drawbacks

Lacks focus on specific Minitab functions, needs more depth and examples
Insufficient explanation of AAA in the curriculum
Descriptive vs. Inferential Statistics video is too brief and needs improvement