- Data Collection
- Process Analysis
- Lean Six Sigma
- Descriptive Statistics
- Root Cause Analysis
- Pareto Chart
- Statistical Inference
- Process Improvement
- Statistical Analysis
- Correlation Analysis
- Statistical Hypothesis Testing
- Regression Analysis
Data Collection and Root Cause Analysis
Completed by Boithatelo MANYOKOLE
May 29, 2024
7 hours (approximately)
Boithatelo MANYOKOLE'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
