Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Stefano Rossi
May 17, 2024
53 hours (approximately)
Stefano Rossi'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: Analytical Skills
- Category: Exploratory Data Analysis
- Category: Probability & Statistics
- Category: Data-Driven Decision-Making
- Category: SAS (Software)
- Category: Statistical Hypothesis Testing
- Category: Regression Analysis
- Category: Data Visualization
- Category: Statistical Software
- Category: Statistical Modeling
- Category: Correlation Analysis
- Category: Statistical Process Controls
