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The A/B Testing course provides students with the foundational knowledge to design and analyze A/B tests to create business insights and support decision making. You will learn the fundamental principles of experiment design, how to design and analyze randomized design experiments and matched-pair design experiments. Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

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  • Show it to prove your success

Course Credit:  Udacity

Course Curriculum

module: 1
Conclusion 00:01:00
Units 00:01:00
Treatment and Control Groups 00:02:00
Experimental and Control Variables 00:02:00
Control Variables 00:03:00
Testing Correlation 00:04:00
Lurking Variables 00:01:00
Experiment Duration 00:02:00
Experimental Design 00:02:00
Conclusion 00:01:00
Intro to Randomized Design 00:01:00
Selecting Variables in an Experiment 00:01:00
Control Variables Solution 00:01:00
Experiment Design and Setup 00:01:00
Identify the Control Variables 00:01:00
module: 2
Sample Size 00:01:00
Preparing the Data for Analysis 00:04:00
Analyzing the Results 00:02:00
Analyzing the Results Example 00:01:00
Analyzing Results in Alteryx 00:02:00
Conclusion 00:01:00
Introduction to Matched Pair Design 00:01:00
Selecting Treatment Units 00:01:00
Selecting Control Units 00:01:00
Selecting Multiple Control Units for a Treatment Unit 00:02:00
Matching Stores Example 00:02:00
Analyzing the Results Overview 00:01:00
Analyzing Matched Pair Design Solution 00:02:00
Conclusion 00:01:00
Introduction 00:01:00
module: 3
Pricing Elasticity Analysis Problem 00:02:00
Selecting Treatment Units 00:01:00
Select Discrete Control Variables 00:02:00
Select Continuous Control Variables 00:02:00
Run Test 00:03:00
Filter & Calculate Date Fields 00:03:00
Weekly Store Traffic Data 00:02:00
Create Discrete Data Table 00:01:00
Store List Data 00:02:00
Sales Data Solution 00:01:00
Preparing Control and Treatment Units 00:02:00
Performing the Analysis 00:04:00
Conclusion 00:01:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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