Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Amin Pour
September 12, 2024
53 hours (approximately)
Amin Pour'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: Scatter Plots
- Category: Regression Analysis
- Category: Data Analysis
- Category: Probability & Statistics
- Category: Statistical Modeling
- Category: Data-Driven Decision-Making
- Category: Predictive Modeling
- Category: Statistics
- Category: Exploratory Data Analysis
- Category: SAS (Software)
- Category: Correlation Analysis
- Category: Analytical Skills
