- Statistical Inference
- Data Collection
- Predictive Modeling
- Statistical Methods
- Data Visualization
- Statistics
- Statistical Analysis
- Statistical Hypothesis Testing
- Statistical Modeling
- Data Compilation
- Descriptive Statistics
- Regression Analysis
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Felipe Colombino
January 19, 2024
53 hours (approximately)
Felipe Colombino's account is verified. Coursera certifies their successful completion of Statistical Thinking for Industrial Problem Solving, presented by JMP
What you will learn
How to describe data with statistical summaries, and how to explore your data using advanced visualizations.
Understand statistical intervals, hypothesis tests and how to calculate sample size.
How to fit, evaluate and interpret linear and logistic regression models.
How to build predictive models and conduct a statistically designed experiment.
Skills you will gain
