- Descriptive Statistics
- Process Improvement
- Lean Six Sigma
- Statistical Hypothesis Testing
- Pareto Chart
- Regression Analysis
- Six Sigma Methodology
- Statistical Inference
- Statistical Analysis
- Root Cause Analysis
- Process Analysis
- Data Analysis
Data Collection and Root Cause Analysis
Completed by Ayesh Marlon Steinwall
June 8, 2024
7 hours (approximately)
Ayesh Marlon Steinwall's account is verified. Coursera certifies their successful completion of Data Collection and Root Cause Analysis
What you will learn
Define data requirements to gather relevant data from the process using appropriate data collection methods.
Calculate baseline process performance metrics based on the collected data.
Analyze data for variations and use data analysis tools and techniques to identify the root causes for the problem or variation.
Skills you will gain
