OPSA | OPEX Statistical Analyst

Course Content

Topic 1: DEFINE & MEASURE — Executive Synthesis & Baselines

Lesson 1.1: DEFINE & MEASURE Refresher: Translating Process Architecture to Statistical Scope

00:00
Lesson 1.2: MEASURE Phase: Sampling Strategies & Data Collection Protocols

00:00
Lesson 1.3: MEASURE Phase: Descriptive Statistics & Validating Process Normality

00:00
Lesson 1.4: MEASURE Phase: Parameter Estimation via Confidence Intervals

00:00
Lesson 1.5: Minitab Application & Interpretation

00:00
Lesson 1.6: The Sigma Level & Capability Lab

Topic 2: MEASURE — Measurement System Rigor & Capability

Topic 3: ANALYZE & IMPROVE — Statistical Proof & Process Optimization

Topic 4: CONTROL — Long-Term Stability, Control Plans, & Audited ROI

Topic 5: The Case Dossier

Lesson 5.1: The Baseline Audit (The Define & Measure Phases)
Lesson 5.2: Capability Benchmarking (Measure Phase)
Lesson 5.3: Root Cause Analysis (Analyze Phase)
Lesson 5.4: Process Optimization & Comparative Charting (Improve Phase)
Lesson 5.5: Statistical Validation (Improve Phase)
Lesson 5.6: Final Capability & Financial ROI (Control Phase)
Lesson 5.7: Institutionalizing the Control Plan (Control Phase)
Lesson 5.8: Statistical Diagnostic & Interpretation
Lesson 5.9: The Six Sigma Roadmap (Case Summary)

Course Content

Topic 1: DEFINE & MEASURE — Executive Synthesis & Baselines

Lesson 1.1: DEFINE & MEASURE Refresher: Translating Process Architecture to Statistical Scope

Lesson 1.2: MEASURE Phase: Sampling Strategies & Data Collection Protocols

Lesson 1.3: MEASURE Phase: Descriptive Statistics & Validating Process Normality

Lesson 1.4: MEASURE Phase: Parameter Estimation via Confidence Intervals

Lesson 1.5: Minitab Application & Interpretation

Lesson 1.6: The Sigma Level & Capability Lab

Topic 2: MEASURE — Measurement System Rigor & Capability

Lesson 2.1: MEASURE Phase: Continuous MSA (Gage R&R) & Discrete MSA (Attribute Agreement Analysis)

Lesson 2.2: MEASURE Phase: Quantifying Process Health: Capability (Cp, Cpk) & Performance (Pp, Ppk)

Lesson 2.3: Minitab Lab — Measurement System & Capability

Topic 3: ANALYZE & IMPROVE — Statistical Proof & Process Optimization

Lesson 3.1: ANALYZE Phase: Parametric Inference & Hypothesis Testing (T-Tests & ANOVA)

Lesson 3.2: ANALYZE Phase: Correlation, Linear Regression, & Non-Parametric Alternatives

Lesson 3.3: ANALYZE Phase: Quantifying Risk via FMEA (Failure Mode & Effects Analysis)

Lesson 3.4: IMPROVE Phase: Engineering the Solution via Design of Experiments (DOE)

Lesson 3.5: IMPROVE Phase: Pilot Implementation & Proportions Testing

Lesson 3.6: Minitab Lab: Correlation & Simple Regression

Lesson 3.7: Minitab Lab: Design of Experiments (DOE)

Topic 4: CONTROL — Long-Term Stability, Control Plans, & Audited ROI

Lesson 4.1: CONTROL Phase: Statistical Process Control (SPC) Fundamentals

Lesson 4.2: CONTROL Phase: Variables Control Charts (Continuous Data)

Lesson 4.3: CONTROL Phase: Attributes Control Charts (Discrete Data)

Lesson 4.4: CONTROL Phase: Institutionalizing the Process Control Plan

Lesson 4.5: CONTROL Phase: Executive Handover & Financial ROI Realization

Lesson 4.6: CONTROL Phase: Minitab Lab: Control Charts (I-MR)

Topic 5: The Case Dossier

Lesson 5.1: The Baseline Audit (The Define & Measure Phases)

Lesson 5.2: Capability Benchmarking (Measure Phase)

Lesson 5.3: Root Cause Analysis (Analyze Phase)

Lesson 5.4: Process Optimization & Comparative Charting (Improve Phase)

Lesson 5.5: Statistical Validation (Improve Phase)

Lesson 5.6: Final Capability & Financial ROI (Control Phase)

Lesson 5.7: Institutionalizing the Control Plan (Control Phase)

Lesson 5.8: Statistical Diagnostic & Interpretation

Lesson 5.9: The Six Sigma Roadmap (Case Summary)

Practice Quiz

OPSA Practice Quiz

Graduation Gate

Final OPSA Assessment