A/B Test like a Data Scientist! (online course)
Understand the science and the business logic behind A/B testing -- and achieve real, significant, long-term increases in conversion!
Read the full description of this A/B Testing course on its original landing page: here.
Course Curriculum
#0 - WELCOME
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#1 - INTRODUCTION
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StartWhat is A/B testing exactly? (3:01)
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StartThe correlation vs. causation issue (4:47)
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StartWhy do you need A/B testing? (a story and the real reason) (4:23)
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StartWhat can you A/B test? (8:52)
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StartEXTRA: Hand-picked A/B Testing case studies
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StartACTION: The A/B tests you've run so far -- and the A/B tests you want to run in the future
#2 - IMPORTANT INITIAL BUSINESS QUESTIONS
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PreviewImportant A/B Testing mindset: Conversion Rate Optimization or Research? (3:42)
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StartTwo key questions before starting an A/B Test. (And when is A/B testing a really bad idea?) (6:45)
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StartWhen you don't need to run experiments (6:32)
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StartWhen you need to run experiments (5:30)
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StartA/B test only when you need it (2:09)
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StartEXTRA: the "can I run this A/B test" checklist
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StartACTION: Filter out the bad A/B test ideas from your backlog!
Your Instructor
Tomi Mester is a data analyst and researcher. He worked for Prezi, iZettle and several smaller companies as an analyst/consultant. He’s the author of the Data36 blog where he writes posts and tutorials on a weekly basis about data science, AB-testing, online research and data coding. He’s an O’Reilly author and presenter on conferences like TEDxYouth, Barcelona E-commerce Summit or Data Conf.