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Hypothesis Testing in R

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Hypothesis testing allows for you to ask statistically sound questions about your data. This course will show you how to use commonly used tests like chi-square, proportion and t-tests. These tests will be explained in great detail, and you'll also learn the assumptions behind them. Use the "There's only a test" framework to learn how different hypothesis tests relate. Non-parametric tests can be used to bypass the traditional requirements of hypothesis tests. Throughout the course, you'll be able access a Stack Overflow survey as well as a database of late shipments to medical supplies.

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Highlights

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Pedagogy

Top 30 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Sampling in R

Introduction to Statistics in R

What You Will Learn

Learn how and when to use common hypothesis 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

Course Instructors

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Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R package...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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