Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Jiuyi Zhou
November 22, 2023
53 hours (approximately)
Jiuyi Zhou'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: Correlation Analysis
- Category: Regression Analysis
- Category: Data-Driven Decision-Making
- Category: Predictive Analytics
- Category: Statistical Software
- Category: Data Visualization
- Category: Analytical Skills
- Category: Experimentation
- Category: Statistical Hypothesis Testing
- Category: Statistical Inference
- Category: Scatter Plots
- Category: Probability & Statistics
