Lean Six Sigma Expert

  • Regression Analysis in Minitab
  • Hypothesis Tests for Non-Normally Distributed Data
  • Analysis of Variance
  • Chi Square Test for Association
  • Design of Experiments
  • Common Pitfalls while Analyzing Data
Overview
Course Objectives
Key Features
Who should attend

Overview

The Lean Six Sigma Expert Masters Program is aimed at helping you master Lean and Six Sigma principles and methodologies. As organizations strive for continuous improvement, they seek management professionals that can employ problem solving and business know-how to enhance internal processes. The Lean Management course is the foundation for this master’s program and shows you how to optimize end-to-end processes to increase quality and drive maximum value in any business.

Course Objectives

  • Introduction
  • Types of Waste
  • Tools
  • Lean in Manufacturing
  • Lean in Service
  • Lean in Office
  • Lean Metrics
  • Other Methodologies that Complement Lean
  • Lean Maturity Matrix
  • Six Sigma and Organizational Goals
  • Lean Six Sigma Green Belt(LSSGB)
  • Introduction to MINITAB
  • Interoperability in Minitab
  • Lean Six Sigma Green Belt case study
  • Case Study on Lean SS Green Belt
  • Gage R and R Analysis and Attribute R and R Analysis
  • Case Study on Lean SS Black Belt
  • Regression Analysis in Minitab
  • Hypothesis Tests for Non-Normally Distributed Data
  • Analysis of Variance
  • Chi Square Test for Association
  • Design of Experiments
  • Common Pitfalls while Analyzing Data

Key Features

Who should attend

  • 35 hours of instructor-led training
  • Course Materials
  • Course Completion Certificate
  • 100% Money Back Guarantee
  • Flexibility to choose classes
  • Post training Support
  • 35 PDUs
  • Self-paced learning content
  • Real-life case studies
  • Six Sigma Expert Certified Trainer
  • 10% discount on any Online Course
  • Quality Control supervisors/ Engineers/ Managers
  • IT analysts
  • Project Managers
  • Enthusiasts of Lean Management
  • Six Sigma Professionals