- Regression Analysis
- Data Visualization
- Data Collection
- Statistical Methods
- Correlation Analysis
- Statistical Inference
- Statistics
- Probability & Statistics
- Statistical Analysis
- Statistical Hypothesis Testing
- Data-Driven Decision-Making
- Predictive Modeling
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Sreeram Sivaramakrishna Iyer
January 9, 2025
53 hours (approximately)
Sreeram Sivaramakrishna Iyer'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
