- Statistical Modeling
- Statistical Visualization
- Probability & Statistics
- Data-Driven Decision-Making
- Statistical Hypothesis Testing
- Statistical Methods
- Predictive Modeling
- Data Compilation
- Exploratory Data Analysis
- Statistical Analysis
- Data Collection
- Data Analysis
Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by AISHWARYA N
December 9, 2020
53 hours (approximately)
AISHWARYA N'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
