- Data Compilation
- Data Analysis
- Regression Analysis
- Probability & Statistics
- Data-Driven Decision-Making
- Statistical Hypothesis Testing
- Data Collection
- Correlation Analysis
- Exploratory Data Analysis
- Statistical Visualization
- Predictive Modeling
- Statistical Modeling
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by HUYNH QUANG NGUYEN VO
June 10, 2024
53 hours (approximately)
HUYNH QUANG NGUYEN VO'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
