- Data Collection
- Data Visualization
- Descriptive Statistics
- Statistical Hypothesis Testing
- Statistical Inference
- Statistical Analysis
- Statistics
- Data-Driven Decision-Making
- Exploratory Data Analysis
- Predictive Modeling
- Statistical Methods
- Regression Analysis
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Madhuchandra Durgad
July 18, 2023
53 hours (approximately)
Madhuchandra Durgad'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
