Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Rishi Mistry
August 31, 2024
53 hours (approximately)
Rishi Mistry'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 Hypothesis Testing
- Category: Regression Analysis
- Category: Probability & Statistics
- Category: Statistical Methods
- Category: Statistical Process Controls
- Category: SAS (Software)
- Category: Data Visualization
- Category: Correlation Analysis
- Category: Data-Driven Decision-Making
- Category: Predictive Analytics
- Category: Exploratory Data Analysis
- Category: Analytical Skills
