Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Diana Winram
December 9, 2025
53 hours (approximately)
Diana Winram'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-Driven Decision-Making
- Category: Exploratory Data Analysis
- Category: Analytical Skills
- Category: Predictive Analytics
- Category: Statistical Modeling
- Category: Data Visualization
- Category: Statistical Software
- Category: Statistical Methods
- Category: SAS (Software)
- Category: Experimentation
- Category: Predictive Modeling
- Category: Correlation Analysis
