Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by San Min Leow
April 28, 2025
53 hours (approximately)
San Min Leow'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: SAS (Software)
- Category: Statistical Hypothesis Testing
- Category: Scatter Plots
- Category: Exploratory Data Analysis
- Category: Data Visualization
- Category: Predictive Modeling
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: Regression Analysis
- Category: Statistical Software
- Category: Correlation Analysis
- Category: Statistical Modeling
