- Data Visualization
- Statistical Analysis
- Data Compilation
- Statistical Methods
- Statistical Inference
- Probability & Statistics
- Statistical Visualization
- Regression Analysis
- Data Analysis
- Statistics
- Statistical Hypothesis Testing
- Data Collection
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Yi Zhang
March 28, 2021
53 hours (approximately)
Yi Zhang'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
