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A/B Testing in R

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Course Report - A/B Testing in R

Course Report

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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

This course will cover the basics of A/B Testing. Some advanced topics, such as sequential analysis and multivariate testing, will also be covered. The first dataset will include a generated example of an adoption site for cats. To see if the homepage image has an effect on conversion rates (how many people click on a button), we will change it. The course will be continued using another dataset that was generated from a hypothetical visualization site.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

Foundations of Inference

Experimental Design in R

What You Will Learn

In this course, you will learn the foundations of A/B testing, including hypothesis testing, experimental design, and confounding variables

You will also be exposed to a couple more advanced topics, sequential analysis and multivariate testing. The first dataset will be a generated example of a cat adoption website

You will investigate if changing the homepage image affects conversion rates (the percentage of people who click a specific button)

Course Instructors

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DataCamp Content Creator

Course Instructor

DataCamp offers interactive R, Python, Spreadsheets, SQL and shell courses. All on topics in data science, statistics, and machine learning. Learn from a team of expert teachers in the comfort of you...

Course Reviews

Average Rating Based on 3 reviews

5.0

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