Statistical Thinking for Industrial Problem Solving, presented by JMP
Completed by Manusmita Lohani
September 27, 2020
53 hours (approximately)
Manusmita Lohani'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: Predictive Analytics
- Category: Data Analysis
- Category: Statistical Hypothesis Testing
- Category: Regression Analysis
- Category: Probability & Statistics
- Category: Data-Driven Decision-Making
- Category: Exploratory Data Analysis
- Category: Scatter Plots
- Category: Correlation Analysis
- Category: Data Visualization
- Category: Analytical Skills
- Category: Predictive Modeling
