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 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
Measurement Systems Analysis
Process Capability and Performance
Six Sigma Analyze
Exploratory Data Analysis
Six Sigma Improve and Control
Design of Experiments
Statistical Process Control
Implement and Validate Solutions