Overview
Join over 9 million learners and start Hypothesis Testing in R today!
Hypothesis testing lets you ask questions about your datasets and answer them in a statistically rigorous way. In this Hypothesis Testing in R course at Data Camp, you'll learn how and when to use common tests like t-tests, proportion tests, and chi-square tests. You'll gain a deep understanding of how they work, and the assumptions that underlie them. You'll also learn how different hypothesis tests are related using the "There is only one test" framework, and use non-parametric tests that let you side-step the requirements of traditional hypothesis tests. Throughout the course, you'll explore a Stack Overflow user survey, and a dataset of late shipments of medical supplies.
Programme Structure
Chapters include:
- Yum, That Dish Tests Good
- Letting the Categoricals Out of the Bag
- Pass Me ANOVA Glass of Iced t
- Time to Define the Relationship
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Data Science & Big Data Web Technologies & Cloud Computing Machine Learning View 522 other Short Courses in Web Technologies & Cloud Computing in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
- Sampling in R
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing