- Statistical Methods
- Data-Driven Decision-Making
- Data Analysis
- Predictive Modeling
- Statistical Modeling
- Exploratory Data Analysis
- Statistical Inference
- Correlation Analysis
- Descriptive Statistics
- Data Collection
- Statistical Analysis
- Data Visualization
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Sai Mourya R
August 27, 2023
53 hours (approximately)
Sai Mourya R'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
