QUALITY TRAINER – PART OF THE MINITAB EDUCATION HUB
Blended Learning Paths Outline
Learning Path 1: Foundations of Data Analysis
Descriptive Statistics and Graphical Analysis
Types of Data
Using Graphs to Analyze Data
Using Statistics to Analyze Data
Analysis of Variance (ANOVA)
Fundamentals of ANOVA
One-Way ANOVA
Two-Way ANOVA
Statistical Inference
Fundamentals of Statistical Inference
Sampling Distributions
Normal Distribution
Correlation and Regression
Relationship Between Two Quantitative Variables
Simple Regression
Trend Analysis in Time Series Primer
Hypothesis Tests and Confidence Intervals
Confidence Intervals for Population Parameters Primer
Tests and Confidence Intervals
1-Sample t-Test
2 Variances Test
2-Sample t-Test
Paired t-Test
1 Proportion Test
2 Proportions Test
Chi-Square Test
Learning Path 2: Statistical Quality Analysis
Control Charts
Phase 1 and 2 Control Charts Primer
Statistical Process Control
Control Charts for Variables Data in Subgroups
Control Charts for Individual Observations
Control Charts for Attributes Data
Measurement Systems Analysis
Fundamentals of Measurement Systems Analysis
Repeatability and Reproducibility
Graphical Analysis of a Gage R&R Study
Variation
ANOVA with a Gage R&R Study
Gage Linearity and Bias Study
Attribute Agreement Analysis
Process Capability
Process Capability for Normal Data
Capability Indices
Process Capability for Nonnormal Data
Learning Path 3: Design of Experiments
Analysis of Variance (ANOVA)
Fundamentals of ANOVA
One-Way ANOVA
Two-Way ANOVA
Design of Experiments
T Tests for Effects in DOE Primer
Factorial Designs
Blocking and Incorporating Center Points
Fractional Factorial Designs
Response Optimization Using Desirability Primer
Response Optimization
Learning Path 4: Predictive Analytics
Correlation and Regression
Relationship Between Two Quantitative Variables
Simple Regression
Trend Analysis in Time Series Primer
Predictive Analytics
Predictive Analytics
Model Validation
Tree Based Methods
CART Classification Splitting Primer
CART Classification Trees
CART Regression Splitting Primer
CART Regression Trees
Random Forests Classification Primer
Random Forests Classification
TreeNet Regression Primer
TreeNet Regression
Multiple Regression
Relationships Between Multiple Quantitative Variables
Multiple Regression
Polynomial and Interacting Terms
Model Selection
Binary Logistic Regression
Datatools
2902 Marina Plaza Al Marsa Street
PO Box 334155
Dubai – United Arab Emirates
Phone: +971(4) 2780994
Email: futureskills@datatools.me