Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Sriram Poyyapakkam Ramkumar
July 11, 2026
53 hours (approximately)
Sriram Poyyapakkam Ramkumar'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
- Category: Statistical Software
- Category: Data Visualization
- Category: Data Analysis
- Category: Exploratory Data Analysis
- Category: Statistics
- Category: Statistical Inference
- Category: Statistical Process Controls
- Category: Correlation Analysis
- Category: Analytical Skills
- Category: Data-Driven Decision-Making
- Category: Regression Analysis
- Category: Probability & Statistics
