SIX SIGMA Course Overview

It drives towards six standard deviations between the mean and the nearest specification limitation Learning Six Sigma methodologies for your work life can help impact your career future. The ability to add Six Sigma Certification to your resume proves your commitment to improving your business acumen and analytical skills, as well as improving the business where you work. Famed the world over, the principles of Six Sigma find applications in countless organizations across a wide range of industries worldwide.

Six Sigma is a disciplined, data-driven approach or methodology to project management that eliminates defects in any process.

Anyone can learn the course, especially Business managers, entrepreneurs, quality consultants, doctors, research scholars, engineering and management students.

Individual must have managerial skills to start, execute and launch the project.

You get opportunities as manager, team leader, in IT companies like E&Y, deloitte, KPMG, JP Morgan chase and more. 

The main concepts covered in the course are Six Sigma and Organizational Goals, Principles in the Organization, Process Management for Projects, Project Management Basics, Management and Planning Tools, Business Results for Projects, Team Dynamics and Performance, Six Sigma Measure, Process Analysis and Documentation, Probability and Statistics, Probability Distributions, Measurement Systems Analysis, Process Capability and, Performance, Six Sigma Analyze, Exploratory Data Analysis, Hypothesis Testing, Six Sigma Improve and Control, Design of Experiments, Statistical Process Control, Implement and Validate Solutions, Control Plan

SIX SIGMA Course Syllabus

Six Sigma and Organizational Goals

  • Value of Six Sigma
  • Organizational Drivers and Metrics
  • Organizational Goals and Six Sigma Projects

Principles in the Organization

  • Lean Concepts and Tools
  • Value added and Non Value added Activities
  • Theory of Constraints
  • Design for Six Sigma (DFSS) in the Organization
  • Quality function Deployment (QFD)
  • Design and Process Failure Mode and Effect Analysis (DFMEA and PFMEA)
  • Roadmaps for DFSS
  • Six Sigma – Define

Process Management for Projects

  • Process Elements
  • Owners and Stakeholders
  • Identify Customers
  • Collect Customer Data
  • Analyze Customer Data
  • Translate Customer Requirements

Project Management Basics

  • Project Charter and Problem Statement
  • Project Scope
  • Project Metrics
  • Project Planning Tools
  • Project Documentation
  • Project Risk Analysis
  • Project Closure

Management and Planning Tools

Business Results for Projects

  • Process Performance
  • FMEA – Failure Mode and Effect Analysis

 Team Dynamics and Performance

  • Team Stages and Dynamics
  • Six Sigma and other team roles and responsibilities
  • Team Tools
  • Communications

Six Sigma Measure

Process Analysis and Documentation

  • Process Modeling
  • Process Inputs and Outputs

Probability and Statistics

  • Drawing valid statistical conclusions
  • Central limit theorem and sampling distribution of the mean
  • Collecting and Summarizing Data
  • Collecting and Summarizing Data
  • Types of Data and Measurement Scales
  • Data Collection Methods
  • Techniques for Assuring Data Accuracy and Integrity
  • Descriptive Statistics
  • Graphical Methods

Probability Distributions

Measurement Systems Analysis

Process Capability and Performance

  • Process Capability Studies
  • Process Performance Vs Specification
  • Process Capability Indices
  • Process Performance Indices                
  • Process Capability for attributes data

Six Sigma Analyze 

Exploratory Data Analysis

  • Multivariate Studies
  • Simple Linear Co-relation and Regression

  Hypothesis Testing

  • Basics
  • Tests for Means Variances and Proportions
  • Paired Comparison Tests
  • Single Factor Analysis of Variance
  • Chi Square

Six Sigma Improve and Control

Design of Experiments

  • Basic Terms
  • Main Effects

Statistical Process Control

  • Objectives and Benefits
  • Rational Subgrouping
  • Selection and Application of Control Charts
  • Analysis of Control Charts

Implement and Validate Solutions

Control Plan