Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Clara Odelia Ciutara
December 3, 2024
53 hours (approximately)
Clara Odelia Ciutara'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: Data Visualization
- Category: Statistical Inference
- Category: Data Compilation
- Category: Data Collection
- Category: Data Literacy
- Category: Statistical Modeling
- Category: Statistical Hypothesis Testing
- Category: Data-Driven Decision-Making
- Category: Data Analysis
- Category: Exploratory Data Analysis
- Category: SAS (Software)
- Category: Statistical Methods
