Course Outline
Introduction
Six Sigma Overview
- Lean Six Sigma vs Six Sigma
- Management System
- Maturity Continuum
Six Sigma Phases
- Define phase
- Measure phase
- Analyze phase
- Improve phase
- Control phase
Statistical Analysis Basics in Minitab
- Descriptive statistics
- Inferential statistics
- Data Types
Preparing the Development Environment
- Installing and configuring Minitab
Graphs and Statistics
- Creating graphs with plots and charts
- Working with descriptive statistics
Probability and Process Capability
- Defining probability
- Using distributions
- Calculating process capability
- Processing performance
Correlation Regression and Hypothesis Testing
- Creating an appropriate diagram
- Calculating correlation coefficients
- Performing Z tests and t-tests
Summary and Conclusion
Requirements
- A basic understanding of computers
Audience
- Data Analysts
Testimonials (7)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny
Course - Advanced R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
Very tailored to needs.