Lean Six Sigma Green Belt - Hindi
Master Lean Six Sigma concepts in Hindi with DMAIC methodology, tools, and real-world applications.
Updated on Jun, 2025
Language - Hindi
Business,Project management,PMI Project Management Professional(PMP)
Lectures -41
Duration -16.5 hours
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Course Description
Lean Six Sigma Green Belt course will help you achieve career growth and solve real-world business challenges. This course empowers you to optimize processes, make data-driven decisions, and drive impactful results in your organization.
What You'll Learn:
Understand Lean and Six Sigma principles and the DMAIC framework.
Master tools like Kaizen, Kanban, and Value Stream Mapping.
Perform data analysis using Excel, Python, and Jamovi.
Lead Green Belt-level projects with real-world case studies.
Prepare well for Green Belt certification.
Course Modules Overview:
Introduction to Lean Six Sigma: Know the role of Green Belts and the fundamentals of business process improvement.
Core Lean and Six Sigma Concepts: Explore Lean principles, Six Sigma methodologies, and TIMWOODS.
DMAIC Methodology: Learn by doing with practical exercises and case studies.
Lean Tools: Learn Kaizen, Kanban, and Value Stream Mapping for operational excellence.
Six Sigma Tools: Learn about control charts and process capability analysis for quality improvements.
Project Management: Learn how to manage improvement efforts effectively.
Real-World Applications: Case studies will be analyzed to cover practical applications.
Preparation for Certification Exam: Get ready to crack the certification exam with practice questions and expert tips.
Who This Course is For:
Process optimization and problem-solving skills enhancement in professionals
Aspiring Six Sigma Green Belt candidates
Business analyst and project manager who are interested in quality improvements.
The Lean Six Sigma methodologies for beginners.
Pre-requisites:
Prior experience in Lean Six Sigma is not a pre-requisite. Concepts are covered from scratch.
Basic knowledge of maths and computer installed with either Excel, Python, or Jamovi.
Get started on your path of learning Lean Six Sigma Green Belt to lead excellence in your profession!
Goals
The course will equip learners with a complete understanding of the Lean and Six Sigma fundamentals.This includes a good understanding of the DMAIC framework. Thereafter, the lean tools such as Kaizen, Kanban, and Value Stream Mapping will be utilized to identify inefficiencies in the processes. Moreover, the student will master various statistical tools and techniques for analyzing data, testing hypotheses, and forecasting using MS Excel, Python, and Jamovi.
Understand to execute a project at the Six Sigma Green Belt level with live case studies
Develop the ability for control charts, process capability analysis, and much more for effective quality improvement.
Acquire leading and managing changes within an organization.
Analyze real-world business scenario and create actions for process improvements.
Build a sense of assurance and prepare more for Lean Six Sigma Green Belt certification.
Prerequisites
To get the most out of the Lean Six Sigma Green Belt - Hindi course, students should have the following:
- Basic math skills to understand statistical concepts and data analysis.
- A computer or laptop with Excel, Python, or Jamovi installed for practical exercises.
- A stable internet connection to access course materials and resources smoothly.
- Willingness to learn data-driven problem-solving and process optimization techniques.
- No prior Lean Six Sigma experience is required—this course is beginner-friendly, and all concepts are taught from scratch.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Lean Six Sigma
2 Lectures
-
1.1 Introduction to Six Sigma
22:23
22:23
-
1.2 Belt system and Green Belt Role
21:27
21:27
Fundamentals of Lean and Six Sigma
3 Lectures
DMAIC Methodology Overview
21 Lectures
Lean Tools and Techniques
4 Lectures
Six Sigma Tools and Techniques
6 Lectures
Project Management and Change Management
1 Lectures
Case Studies and Practical Applications
2 Lectures
Exam Preparation and Certification
2 Lectures
Instructor Details
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