Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Yutong Pang
September 7, 2024
53 hours (approximately)
Yutong Pang'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 Hypothesis Testing
- Category: Statistical Inference
- Category: Scatter Plots
- Category: Statistical Methods
- Category: Statistical Process Controls
- Category: Statistical Modeling
- Category: Data Visualization
- Category: Analytical Skills
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: Probability & Statistics
- Category: Exploratory Data Analysis
