Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Jisas Rameshbhai Patel
November 26, 2021
53 hours (approximately)
Jisas Rameshbhai Patel'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: Data-Driven Decision-Making
- Category: Exploratory Data Analysis
- Category: Scatter Plots
- Category: Statistical Hypothesis Testing
- Category: Statistical Modeling
- Category: Data Visualization
- Category: Statistical Software
- Category: Analytical Skills
- Category: Predictive Analytics
- Category: SAS (Software)
- Category: Probability & Statistics
- Category: Data Analysis
