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Dallas, TX – Black Belt after Green Belt

$4,000.00

Class is Monday to Thursday from 8 am to not later than 5 pm and on Friday will be done around noon.

Six Sigma Black Belt is 36-hours of training for advanced process improvement leaders. The focus of the projects, at this level of proficiency, is typically on optimizing the process – establishing the best settings to maximize and provide predictable process performance.

Black Belt development is conducted in either 4.5 days of live in person training or two 3-day virtual training sessions.

Dallas, TX ā€“ Black Belt ā€“ Two-Week Training Course.

Note:Ā  This program requires a prior two-week Green Belt program.

SKU: BBDFW Category:

Black Belt Certification

The public classes start at 8:00 am and end at 5:00 pm Monday through Thursday at most locations. The Two-Week Green Belt training is a prerequisite for this program.Ā 

Location:Ā Dallas, TX

To receive an email with this material in Adobe PDF printable format simply send an email titled Black Belt to blackbelt@dmaic.us

Black Belt Training Topics

  • Law of Averages, aka Central Limit Theorem
  • Advanced Measurement Systems Analysis
  • Advanced Capability Studies
  • Multiple Regression
  • Between/Within Analysis, aka Nested ANOVA
  • DOE Planning
  • Full Factorial Experiments
  • Fractional Factorial Designs
  • General Factorial Designs
  • Sample Size Calculation
  • Optimization Designs
  • Multiple Response Optimization
  • Intermediate SPC
  • Change Management
  • Control Methods

Prerequisites: Green Belt training covering the DMAIC roadmap as well as analytical methods and familiarity with Minitab or SigmaXL Statistical software. We will illustrate statistical analysis using Minitab during live training courses.

If you have completed Green Belt with another organization, please contact us to ensure your prior training is of similar nature to the SixSigma.us Green Belt program.

Minitab software is required for training. You may choose to download the 14-day free trial in time for the class.