Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Manoj Joshi
April 30, 2024
53 hours (approximately)
Manoj Joshi'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 Collection
- Category: SAS (Software)
- Category: Statistical Process Controls
- Category: Exploratory Data Analysis
- Category: Data Analysis
- Category: Regression Analysis
- Category: Statistical Analysis
- Category: Statistical Inference
- Category: Statistical Hypothesis Testing
- Category: Data Visualization
- Category: Data Literacy
- Category: Statistical Modeling

