- Statistical Hypothesis Testing
- Statistical Analysis
- Statistical Methods
- Predictive Modeling
- Regression Analysis
- Data-Driven Decision-Making
- Statistical Modeling
- Correlation Analysis
- Descriptive Statistics
- Statistical Inference
- Exploratory Data Analysis
- Data Collection
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Akhil S Pillai
August 9, 2020
53 hours (approximately)
Akhil S Pillai'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
