Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by MING EN BENJAMIN TAN
September 12, 2020
53 hours (approximately)
MING EN BENJAMIN TAN'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: Statistical Inference
- Category: Interactive Data Visualization
- Category: Statistical Methods
- Category: Sampling (Statistics)
- Category: Sample Size Determination
- Category: Statistical Visualization
- Category: Descriptive Statistics
- Category: Process Capability
- Category: Quality Control
- Category: Data Analysis
- Category: Exploratory Data Analysis
