Data Science- Hypothesis Testing Using Minitab and R
Updated on
Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- All Levels
- Duration
- 4 hours
- Lessons
- 24 lessons
- Certificate
- Available on completion
- Course author
- ExcelR Solutions
-
- Formulate Null and alternative hypothesis statement; perform Hypothesis testing techniques for various output and input types; Have an understating of "Analysis of Variance"
Description
Introduction to Hypothesis Testing, Performing Parametric and non parametric tests, Analysis of Variance
Data Science - Hypothesis Testing using Minitab, R is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following:
- Learn how to formulate a hypothesis statements with business context
- Preform 2 sample t test for continuous output with discrete inputs in 2 categories
- Using ANOVA for continuous outputs with more than 2 discrete categories of inputs
- Performing 2 – proportion test for discrete output and discrete inputs in 2 categories
- The Chi – Square test for discrete outputs with multiple discrete inputs
- Introduction to Non Parametric tests like: Mann Whitney test, Paired T test, Moods median Test and Tukey pairwise comparisons
- Learn about Hypothesis testing techniques & how to accomplish the same using R and Minitab
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