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Have you ever wondered how Google chooses a color for its home page? How do they decide between two variations? In business, how can you know if changing something will improve it or not? Whether it's a website or model that powers your business, there is a way to determine which changes are "good" and should be rolled out, and which changes are “bad,” and should be discarded. The A/B Testing and Experiments training will teach you everything you need to know to successfully run your own experiments.
Data Scientists and Analysts who work in organizations that use testing and want to professionalize experiments. Familiarity with statistics is required, as well as basic experience with Python. If you’re not quite there yet, we recommend, the Python for Data Analysts course as preparation for this training.
After this training, you will know how to set up and validate an A/B test and confidently explain the statistics behind it to colleagues and management. You will also learn best practices for replicating experiments in your own organization.
The program consists of both theory and hands-on exercises.
This Data Science training is brought to you by our training partner GoDataDriven. GoDataDriven's experts are always on the lookout for innovative ways to get the most out of data. Your trainer is a data guru who enjoys sharing his or her experiences to help you work with the latest tools.
Your Data Science Learning Journey starts with a Foundation course, such as the Certified Data Science with Python Foundation or Certified Analytics Translation training. Continue your journey with Advanced Data Science with Python or three days of Deep Learning. If you want to proceed to Expert level, register for our 3-day Data Science with Spark course.
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if there's a need to prepare. See you soon!