Lean Six Sigma Black Belt

The Caltech Lean Six Sigma Black Belt Certificate Program builds on Lean Six Sigma (LSS) Green Belt knowledge of the standard DMAIC (Define, Measure, Analyze, Improve, Control) improvement approach. Advanced techniques are presented for analyzing and improving products and processes in more challenging applications.

  • Start Date March 24
  • Time On demand
  • Duration 40 Hours
  • Format
    Self-Paced Online
  • Program Type Open-Enrollment/Public
  • Certificate Type Certificate
  • CEUS 4
  • PDUS 40
  • Program Number 1820325
  • Fees $2,850
  • See full course info

The Caltech Lean Six Sigma Black Belt Certificate Program builds on Lean Six Sigma (LSS) Green Belt knowledge of the standard DMAIC (Define, Measure, Analyze, Improve, Control) improvement approach. Advanced techniques are presented for analyzing and improving products and processes in more challenging applications.

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Lean Six Sigma Black Belt

Program Experience

The Caltech Lean Six Sigma Black Belt Certificate Program is provided in an online accelerated format through the use of hands-on examples and case studies. Participants are encouraged to bring challenges from their workplace to address with the instructors.  

All participants will receive a copy of The Certified Six Sigma Black Belt Handbook, published by the American Society of Quality. This program prepares you for the ASQ certification exam

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Course Info

Benefits

This certificate program teaches you and your team how to master analytical skills and the rigor of a Six Sigma Black Belt. Particiapnts will learn to:

  • Identify and prioritize diverse customer sets
  • Translate Voice of the Customer (VOC) data into critical-to-quality (CTQ) factors with Quality Function Deployment (QFD)
  • Use sampling effectively to reduce cost while retaining critical characteristics
  • Identify and analyze various data distributions
  • Evaluate the reliability and repeatability of your measurement system
  • Identify the most useful descriptive statistics for your problem
  • Generate and interpret control charts
  • Perform correlation, regression, and hypothesis testing
  • Determine if your measurements are introducing excess variability using Gage R & R
  • Strategize, plan, conduct, analyze, and interpret tests to evaluate the factors that control parameter values (Design of Experiment)
  • Use Theory of Constraints to identify and eliminate potential bottlenecks in the solution
  • Develop a control plan to monitor the improvements and ensure continued and sustainable success
  • Create an improvement culture in your organization
  • Identify sources of waste (overproduction, waiting, motion, transportation, inventory, defects, over-processing, under-utilization of human talent)
  • Measure organizational performance using the Balanced Scorecard tool

Instructors

Photo of Dr. Carol Jacoby

Dr. Carol Jacoby

Advanced Mathematics, Statisitical Analysis, Machine Learning