Practical Applications of Alteryx
AB Testing
If you are having difficulty gaining useful, informative insights from your customer data, you may find value in a data modelling technique. This course introduces you to the concept of AB testing, and the various tools Alteryx provides to perform this, to help take much of the guesswork out of your data analysis.
Advanced 7 Lessons 90 Minutes CPD Credits
About This Course
When dealing with customer data, a solid data model can really help fill in any ambiguities or uncertainties in your decision-making process. In this course, you’ll explore the concept of AB testing, some of the common use cases and how you can perform the technique in Alteryx.
By examining a case study, you’ll learn the basic steps involved in AB testing. You’ll experiment with the AB treatments, trend and controls tools to configure your model according to your needs. You’ll also learn which sample group should be selected as the ‘treatment’ group for AB testing.
By the end of this course, you will be much better equipped to make informed forecasts regarding customer behaviour, with a robust AB data model to back up your assertions.
Learning Outcomes
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Create A/B sample groups
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Determine treatment group
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Prepare A/B trial
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Output and analyze A/B trial results
Lessons
1. Introduction to AB Testing
2. Preparing Dataset for Grouping
4. Determining the Treatment Group
5. AB Trend and Controls Tools
6. Preparing AB Trial Results
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7. Analyzing AB Trial Results
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