Advanced experimentation analysis – Chad Sanderson

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Become great at advanced experimentation analysis

Go way beyond what most optimization experts know

From zero to hero in self-serve experimentation

After you take this course, you won’t need to rely on what the testing tools say about results.

You’ll be able to go into the data yourself, understand it, query it, and perform advanced statistical techniques to get more value than any tool can really give you. That’s independence.

Get to the top of the food chain in terms of the best CRO practitioners in the world

Having the ability to dive deep into experimental statistics and analysis using data and code is a skill that very few people have. You will be one of those rare phenomena. This will put you many steps ahead of all those optimization experts out there.

In this course, Chad will peel back the curtain on the world of advanced experimental statistics, data science, and discuss deepexperimental understanding. All using common sense language.

• Learn what makes data analysis so important and why we should think very carefully about building our own metrics
• Understand how to generate sample size (the right way)
• Master principles of analysis and metric building
• Discover how to build, launch, and analyze experiments offline
• Use statistical techniques like regression and time series analysis for CRO
• Go beyond traditional A/B testing, focusing on unconventional methods that maybe you haven’t heard of before
• Generate powerful custom charts to communicate testing results
• Start working with R (even – or especially if your most hated thing is jumping into code since you’re not a developer).

This course will teach you how to go beyond traditional A/B testing with advanced statistical techniques (no math background required), clear away numerous misconceptions about common and uncommon testing tropes, and open your eyes to the business-wide transformative strength of experimentation.

Ideal for you if…

• You are a conversion optimization specialist looking to dive deep into experimental statistics and analysis using data and code
• You have a hand in analyzing, interpreting, or reporting the results of digital experiments
• Your business or client fully believes in the power of experimentation

This course is probably not for you if…

• You are an experienced data-scientist, researcher, or statistician with a deep knowledge of experimental design

• You are a CMO or VP. This course is less strategy, and more hands-on functional knowledge.

• You are content with the surface level testing results reported by your testing tool

Skills you should have before taking this course:

• Intermediate A/B Testing experience. We won’t be covering how or why you should be setting up experiments or using a testing tool.
• Foundational understanding of analytics best practices and reporting. We expect you to know how to choose and report on important metrics.
• Working knowledge of Microsoft Excel or an equivalent. We will be working with data!

Your full course curriculum:

ADVANCED EXPERIMENTATION ANALYSIS

1. Introduction

2. Principles of Analysis & Metric Building

3. Diving into Experimentation Analysis

4. Deep Experimental Understanding

5. I Have the Power (Analysis)

6. Beyond A/B testing – Part 1

7. Beyond A/B testing – Part 2

8. Parting thoughts