Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Dinh Chi Pham
February 8, 2022
53 hours (approximately)
Dinh Chi Pham'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 Inference
- Category: Statistical Hypothesis Testing
- Category: Regression Analysis
- Category: Statistical Process Controls
- Category: Statistical Methods
- Category: SAS (Software)
- Category: Probability & Statistics
- Category: Predictive Analytics
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: Exploratory Data Analysis
- Category: Scatter Plots
