Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Duy Nguyen
June 27, 2025
53 hours (approximately)
Duy Nguyen'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
- Category: Data Visualization
- Category: Analytical Skills
- Category: Predictive Modeling
- Category: Statistical Modeling
- Category: Statistical Methods
- Category: SAS (Software)
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: Correlation Analysis
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Statistical Hypothesis Testing
