Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Vivian Tegelbeckers
February 19, 2026
53 hours (approximately)
Vivian Tegelbeckers'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: Data Analysis
- Category: Exploratory Data Analysis
- Category: Correlation Analysis
- Category: Analytical Skills
- Category: Predictive Analytics
- Category: Data Visualization
- Category: Statistical Methods
- Category: SAS (Software)
- Category: Probability & Statistics
- Category: Regression Analysis
- Category: Experimentation
