What is A/B testing? In this quick tutorial, we go over the basics of A/B testing, as well as answer some in-depth questions such as: why should businesses conduct A/B testing? Or how do you perform an A/B test?
A/B testing aims to determine not only which technique performs better but also to understand whether the difference is statistically significant.
Table of Contents:
0:00 Introduction
1:29 Sucess criteria
2:58 What happens if...
3:15 Conclusion
--
At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: [ Ссылка ]
💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: [ Ссылка ]
💼 Get started in the world of data with our top-rated data science bootcamp: [ Ссылка ]
💼 Master Python for data science, analytics, machine learning, and data engineering: [ Ссылка ]
💼 Explore, analyze, and visualize your data with Power BI desktop: [ Ссылка ]
--
Unleash your data science potential for FREE! Dive into our tutorials, events & courses today!
📚 Learn the essentials of data science and analytics with our data science tutorials: [ Ссылка ]
📚 Stay ahead of the curve with the latest data science content, subscribe to our newsletter now: [ Ссылка ]
📚 Connect with other data scientists and AI professionals at our community events: [ Ссылка ]
📚 Checkout our free data science courses: [ Ссылка ]
📚 Get your daily dose of data science with our trending blogs: [ Ссылка ]
--
📱 Social media links
Connect with us: [ Ссылка ]
Follow us: [ Ссылка ]
Keep up with us: [ Ссылка ]
Like us: [ Ссылка ]
Find us: [ Ссылка ]
--
Also, join our communities:
LinkedIn: [ Ссылка ]
Twitter: [ Ссылка ]
Facebook: [ Ссылка ]
Vimeo: [ Ссылка ]
Discord: [ Ссылка ]
_
Want to share your data science knowledge? Boost your profile and share your knowledge with our community: [ Ссылка ]
#datascience #abtesting
