AB Testing
Learning Outcomes
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What’s Included
Introduction to AB Testing
Introduction to AB Testing
In this lesson, you will be introduced to the concept of AB Testing and some common use cases for this technique.
Preparing Dataset for Grouping
Preparing Dataset for Grouping
Learn how to prepare a typical dataset for an AB Testing experiment, ensuring that only the most appropriate test candidates put forward for consideration.
Forming Sample Groups
Forming Sample Groups
In this lesson, we will partition the test candidates into sample groups in order to decide on the best treatment group.
Determining the Treatment Group
Determining the Treatment Group
Using the AB Treatments tool, learn how to decide which sample group should be selected as the treatment group for AB Testing.
AB Trend and Controls Tools
AB Trend and Controls Tools
In this lesson, we will use the AB Trend tool to study the underlying trends and seasonality in the dataset, and then use the AB Controls tool to pair each treatment with one or more controls.
Preparing AB Trial Results
Preparing AB Trial Results
In this lesson, we will consolidate the historic and trial data, performing any necessary formatting and aggregation to prepare for analysis.
Analyzing AB Trial Results
Analyzing AB Trial Results
In this final lesson on AB Testing, we will compare the performance of the treatment group with the control group over the trial period over various metrics.
Introduction to Market Basket Analysis
Introduction to Market Basket Analysis
In the second half of this course, we will focus on Market Basket Analysis. In this lesson, we will learn about the concepts and terminology associated with this topic.
Market Basket Affinity and Item Co-occurence
Market Basket Affinity and Item Co-occurence
Cut Price Supermarkets would like us to analyze their receipt data and visualize item co-occurrence. As a first step, we will deploy the MB Affinity tool to create a matrix of item co-occurrences.
Preparing Data for Export
Preparing Data for Export
Before we can visualize item co-occurrence, we need to consolidate our workstreams and format our data for use in Tableau. We'll cover how to efficiently perform this task, and ensure that we have all the necessary data to create an effective visualization.
Visualizing Co-Occurrence
Visualizing Co-Occurrence
In this lesson, we will import our consolidated data to Tableau, learn how to manually calculate lift, and display co-occurrence in a heat map.
Market Basket Rules
Market Basket Rules
Over the last three lessons, we analyzed and visualized item co-occurrence. Cut Price Supermarkets would now like us to run a similar analysis to for receipts that contain more than two items. As a first step, we'll apply the Market Basket Rules tool to the receipt dataset.
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