DataCamp

Introduction to A/B Testing in R

Engineering and Technology

Add Bookmark Visit Course

Short Description

Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.

Long Description

This course offers a comprehensive understanding of A/B testing, encompassing key concepts such as hypothesis testing, experimental design, and confounding variables. Additionally, participants will delve into more advanced topics, namely sequential analysis and multivariate testing. The initial dataset will revolve around a simulated cat adoption website, where the objective is to examine the impact of altering the homepage image on conversion rates, i.e., the percentage of users clicking a designated button. Subsequently, learners will work with another simulated dataset, centered around a hypothetical data visualization website, for the remainder of the course.

Related Courses

Course Details

Duration
4 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
Learn more