Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Aaron Herve Mbwe mbissik
March 19, 2021
53 hours (approximately)
Aaron Herve Mbwe mbissik'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 Process Controls
- Category: Data-Driven Decision-Making
- Category: Correlation Analysis
- Category: Data Visualization
- Category: Statistical Software
- Category: Data Analysis Software
- Category: Model Evaluation
- Category: Statistical Methods
- Category: Statistics
- Category: Statistical Hypothesis Testing
- Category: Scatter Plots
- Category: Data Analysis
