Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Felipe Betancur Salazar
September 4, 2024
53 hours (approximately)
Felipe Betancur Salazar'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-Driven Decision-Making
- Category: Regression Analysis
- Category: Correlation Analysis
- Category: Analytical Skills
- Category: Scatter Plots
- Category: Statistical Hypothesis Testing
- Category: Statistical Methods
- Category: SAS (Software)
- Category: Probability & Statistics
- Category: Exploratory Data Analysis
- Category: Statistical Software
- Category: Data Analysis
