Bayesian Machine Learning in Python: A/B Testing
Learn how to implement Bayesian machine learning in Python for A/B testing, which can be applied to almost any data science projects.
About this course
Frequently Asked Questions
What is a short course?
With a short course, you’ll typically deep-dive into a specific area of interest within a broader topic.
Short courses are typically between 1 and 12 hours in duration, and in the case of guided courses (i.e. with live instructors), are sometimes spread over a number of days or weeks. Most short courses are self-paced, which means you progress through a series of videos and projects at your own pace.
Depending on the institution and the platform, you may also get a certificate of completion that you can add to your LinkedIn profile.
Is this really 100% online?
This course is completely online, so you can study from anywhere! All you’ll need is a device with an internet connection, such as a computer or a smartphone. If the course has any live, instructor-led sessions, you may need a microphone and possibly a webcam to fully participate. The instructor will make you aware of this beforehand.