- Descriptive Statistics
- Process Improvement
- Root Cause Analysis
- Regression Analysis
- Statistical Hypothesis Testing
- Statistical Inference
- Lean Six Sigma
- Correlation Analysis
- Pareto Chart
- Statistical Analysis
- Process Analysis
- Data Collection
Data Collection and Root Cause Analysis
Completed by Dayna Carter
June 20, 2024
7 hours (approximately)
Dayna Carter'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
