Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Naomi Ximena Cordoba Geniz
June 2, 2026
53 hours (approximately)
Naomi Ximena Cordoba Geniz'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: Correlation Analysis
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Statistical Modeling
- Category: Data-Driven Decision-Making
- Category: Exploratory Data Analysis
- Category: Analytical Skills
- Category: Experimentation
- Category: Statistical Software
- Category: Data Visualization
- Category: Predictive Analytics
- Category: Regression Analysis
