Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Ray Chang
January 28, 2023
53 hours (approximately)
Ray Chang'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: SAS (Software)
- Category: Regression Analysis
- Category: Probability & Statistics
- Category: Scatter Plots
- Category: Data-Driven Decision-Making
- Category: Exploratory Data Analysis
- Category: Correlation Analysis
- Category: Analytical Skills
- Category: Predictive Analytics
- Category: Statistical Modeling
- Category: Data Visualization
- Category: Statistical Hypothesis Testing
