Six Sigma Green Belt Certification Preparation


  • Date/Time: Thursdays May 1 – May 29 or Thursdays Oct. 23 – Nov. 27, 3:00 – 5:00 pm (PST)
  • Cost: $595 per person
  • Register:

In submitting this registration, you consent to all PCC policies and procedures, which includes your consent to Financial Responsibility, Telephone Contact, and Electronic 1098-T Delivery.

For questions regarding this program, email or call 971-722-6686.

Workshop Objectives:

An instructor-led online course organized to provide Six Sigma Green Belt BoK information. Learn from lecture, other’s experience, reading, and practice online test questions to prepare you for the ASQ CSSGB exam.

Workshop Deliverables:

  • Learn the CSSGB Body of Knowledge.
  • Practice test bank questions
  • Participate in case scenarios and interactive class activities


Materials Required: The Certified Six Sigma Green Belt Handbook (available at

Attendance: Individuals looking to achieve their ASQ CSSGB certification who are involved with quality improvement, or support the process improvement functions within an organization.

Technology Required: Collaborative meeting room: GoToMeeting (downloads must be completed on all devices before training)

  • Internet Explorer 7.0, Mozilla Firefox 4.0, Google Chrome 5.0 (JavaScript and Java enabled) or the latest version of each web browser
  • Windows 7, Vista, XP or 2003 Server
  • Cable modem, DSL, or better Internet connection (700 Kbps of Internet bandwidth and a dual-core 1.6GHz CPU with 2 GB of RAM)
  • Dual-core 2.4GHz CPU or faster with 2GB of RAM (recommended)

VoIP: Participants wishing to connect to audio using VoIP will need broadband connection, a microphone and speakers. (A USB headset is required.)


  • Course completion certificates are provided upon completion of the course.
  • Completion of this course in no way guarantees a passing score on the ASQ CMQ/OE exam.
  • Instruction will be recorded; learners can make up lectures upon request.

CQA Certification Preparation Course Agenda




Part I
May 1  

Overview: Six Sigma and the Organization

Recognize why organizations use six sigma, how to apply its philosophy and goals, and the origins of six sigma. Define and describe concepts such as DMAIC, value chain, 5S, error-proofing, value-stream mapping, value-added and non-value-added activities, theory of constraints, Design for Six Sigma (DFSS), Roadmaps, Quality Function Deployment (QFD), and Design and Process Failure Mode and Effects Analysis (DFMEA & PFMEA).

Part II
May 8

Six Sigma - Define

Define and describe process management for projects by identifying owners, stakeholders and customers. Collect and analyze customer feedback data, project charter and problem statements.  Define the project scope, metrics, risks, and necessary project documentation. Learn to use management planning tools like affinity diagrams, interrelationship digraphs, tree diagrams, prioritization matrices, matrix diagrams, process decision program (PDPC) charts, and activity network diagrams.

Part III
May 15

Six Sigma - Measure

Learn to collect data, conduct process analysis, and create probability distributions, descriptive statistics, and basic probability concepts.   Create graphical diagrams like stem-and-leaf plots, box-and-whisker plots, run charts, scatter diagrams, and Pareto charts. Identify Process capability and performance and associated capability indices.  Learn to compute the sigma level for a process and describe its relationship to Ppk.

Part IV
May 22

Six Sigma - Analyze

Create and interpret multi-variable studies to interpret the difference between positional, cyclical, and temporal variation; apply sampling plans to investigate the largest sources of variation. Learn to use tools like: simple linear correlation and regression, hypothesis testing, tests for means, variances, and proportions, paired-comparison tests, single-factor analysis of variance (ANOVA) and how to interpret Chi square. 

Part V
May 29

Six Sigma – Improve & Control

Define and describe basic DOE terms such as independent and dependent variables, factors and levels, response, treatment, error, repetition, and replication. Apply tools like Statistical process control (SPC), learn to implement and validate solutions andassist in developing control plans to document and hold the gains, that assist in implementing controls and monitoring systems.