- Probability & Statistics
- Statistical Inference
- Predictive Modeling
- Data-Driven Decision-Making
- Data Analysis
- Data Collection
- Statistical Methods
- Descriptive Statistics
- Regression Analysis
- Statistical Hypothesis Testing
- Statistical Modeling
- Statistics
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by WON SEOK CHOI
February 5, 2022
53 hours (approximately)
WON SEOK CHOI'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
