Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Anish More
April 6, 2026
53 hours (approximately)
Anish More'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: Exploratory Data Analysis
- Category: Probability & Statistics
- Category: Data-Driven Decision-Making
- Category: Statistical Software
- Category: Experimentation
- Category: Statistical Hypothesis Testing
- Category: Scatter Plots
- Category: SAS (Software)
- Category: Predictive Modeling
- Category: Data Analysis
- Category: Statistical Process Controls
- Category: Statistical Inference
