Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Rafael Villasana
August 8, 2024
53 hours (approximately)
Rafael Villasana'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: Quality Control
- Category: Statistical Process Controls
- Category: Statistical Inference
- Category: Regression Analysis
- Category: Exploratory Data Analysis
- Category: Data Analysis
- Category: Statistical Methods
- Category: Statistical Hypothesis Testing
- Category: Process Capability
- Category: Statistics
- Category: Statistical Analysis
- Category: Probability & Statistics
