Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Eliav Silberstein
November 25, 2021
53 hours (approximately)
Eliav Silberstein'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: Statistical Modeling
- Category: Statistical Hypothesis Testing
- Category: Data Visualization
- Category: Predictive Modeling
- Category: Statistical Software
- Category: Statistical Analysis
- Category: Data Collection
- Category: Statistics
- Category: Exploratory Data Analysis
- Category: Data-Driven Decision-Making
- Category: SAS (Software)
- Category: Statistical Process Controls
