Ementorhub

What you'll learn

Describe the importance of analyzing data and identifying root causes of problems in the process.

Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify the issues in your process.

Develop control plans and strategies for sustaining process improvements.

Use control charts and statistical process control techniques to monitor process performance.

Skills you'll gain

Correlation Analysis

Statistical Process Controls

Data Analysis

Exploratory Data Analysis

Process Improvement

Process Optimization

Statistical Hypothesis Testing

Statistical Analysis

Six Sigma Methodology

Root Cause Analysis

Regression Analysis

Quality Improvement

Continuous Improvement Process

Data-Driven Decision-Making

There are 5 modules in this course

By the end of the course, you will be able to: - Describe the importance of analyzing data and identifying root causes of problems in the process. - Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify the issues in your process. - Develop control plans and strategies for sustaining process improvements. - Use control charts and statistical process control techniques to monitor process performance. The course offers practical exposure with a peer-graded project that enables you to apply your knowledge in real-world scenarios. The course is for individuals who wish to analyze and solve quality problems and are working in process improvement teams or involved with Six Sigma, lean, or other quality improvement projects.

Analyze: Hypothesis testing

Improve: Design of experiments (DOE) and control charts

Control: Sustain improvements and control the process

Peer Review Assignment