- Data Compilation
- Data Analysis
- Correlation Analysis
- Statistical Inference
- Data-Driven Decision-Making
- Statistical Modeling
- Predictive Modeling
- Statistical Methods
- Exploratory Data Analysis
- Statistical Hypothesis Testing
- Data Collection
- Statistical Visualization
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Nazmul Hussain
January 9, 2024
53 hours (approximately)
Nazmul Hussain'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
