Online Course – Certified Professional Internship in Preparation for the ASQ-Certified Six Sigma Green Belt (CSSGB) Exam by SkillUp EdTech

Prepare yourself for Six Sigma Green Belt certification. Master Six Sigma methodologies and become an expert in process improvement and operational excellence.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Six Sigma methods
  • DMAIC and DMADV frameworks
  • Lean tools
  • Problem definition
  • Measurement and root cause analysis
  • Implementation of solutions
  • Control over the continuity of solutions
  • Comprehensive assessment with varied feedback
  • Active learning in a participatory process
  • Collaborative learning experience

What you will learn in the course

Courses for which the course is suitable

  • Quality Manager
  • Process Engineer
  • Quality Analyst
  • Process Improvement Specialist
  • Quality Project Manager
  • Six Sigma Consultant
  • Production Manager
  • Operations Manager
  • Lean Expert
  • Process Improvement Project Manager

Internship – Series of 3 courses

Prepare for a career in quality and process optimization and learn required skills like Six Sigma methods, DMAIC and DMADV frameworks, and Lean tools to be job-ready in less than four months.

Training courses

  • Overview: Six Sigma and the Organization – Explains how the principles and practices of Six Sigma fit into and impact the overall functioning of the organization.
  • DMAIC Framework: Define and Measure Phase – Focuses on the first two phases of the problem definition framework: define and measure.
  • DMAIC Framework: Analyze, Improve, and Control Phase – Describes how to perform the last three phases of the DMAIC framework, analyzing the root causes of problems, implementing solutions, and ensuring their continuity.

Each course combines educational material, practice, and graded assessments, and is designed for employees in process improvement teams or quality functions, or those involved in Six Sigma or Lean projects.

Applied Learning Project

Each course ends with a practical peer review assignment, which includes the learnings of the entire course and is reviewed by your peers.

Peer-assessed assignments will help you:

  • Get a comprehensive assessment of your assignment with diverse feedback.
  • Actively learn through a highly participatory peer review process.
  • Enjoy a collaborative learning experience.

The final projects are based on:

  • Six Sigma and tools and methods.
  • Steps and implementation of the DMAIC approach: definition, measurement, analysis, improvement and control.

Details of the courses that make up the specialization

Course 1: Overview: Six Sigma and the Organization

Duration: 9 hours

What you will learn:

  • Explain the importance of using Six Sigma and implementing its philosophy and goals.
  • Describe how Six Sigma can fit into an organization’s goals to reduce costs, increase efficiency, and improve the quality of processes.
  • Define specific metrics and goals to measure the success of Six Sigma projects in relation to organizational goals.

Skills you will acquire:

  • Data Analytics
  • Six Sigma Green Belt
  • Lean principles
  • DMAIC methodology
  • Problem solving framework

Course 2: DMAIC Methodology – Definition and Measurement Phase

Duration: 9 hours

What you will learn:

  • Set specific, measurable, achievable, relevant and time-bound (SMART) goals and objectives.
  • Analyze voice of the customer (VOC) data to translate it into critical to quality (CTQ) parameters.
  • Explain process mapping and define key performance indicators.
  • Plan data collection activities to quantify process performance.

Skills you will acquire:

  • Data Collection
  • Voice of the Customer (VOC) Analysis
  • Business process mapping
  • DMAIC methodology
  • Management System Analysis (MSA)

Course 3: DMAIC Methodology: Analysis, Improvement, and Control Phase

Duration: 8 hours

What you will learn:

  • Describe the importance of data analysis and identifying root causes of process problems.
  • Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify problems in your process.
  • Develop control plans and strategies to maintain process improvements.
  • Use control charts and statistical control techniques to monitor process performance.

Skills you will acquire:

  • Experimental design
  • Statistical hypothesis testing
  • Statistical process control
  • Exploratory data analysis
  • Root cause analysis