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Designing and Executing Your First AB Test

This course will teach you how to successfully run your first AB test.

Many businesses make updates to their product or website and carefully track the impact this has on key metrics, often assuming any change in the metrics was caused by the updates they made. AB testing is a way of determining if this causal link is correct or whether the metric would have changed regardless. In this course, Designing and Executing Your First AB Test, you’ll learn how to start optimizing business objectives by running AB tests. First, you’ll explore what AB testing is and why you’d want to do it. Next, you’ll learn about the process to go through when deciding what should be tested. Finally, you'll learn about statistical significance and how to analyze the results of an AB test using RStudio. When you’re finished with this course, you’ll have the skills and knowledge of AB testing needed to set up a test and analyze the results.

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AB Testing RStudio Data Analysis

What's inside

Syllabus

Course Overview

Introducing AB Testing

Choosing Your First AB Test

Setting Up Your First AB Test

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops skills in statistical significance and analysis of AB test results, which are essential for optimizing business objectives

Taught by Michael Bailey, who is recognized for their work in AB testing

Provides a hands-on approach to AB testing, with a focus on setting up and analyzing tests

Teaches a fundamental aspect of data-driven decision-making, which is crucial in various industries

Follows a structured process for designing and executing AB tests, ensuring a clear and systematic approach

May require prior knowledge of statistics and RStudio, which could be a barrier for some learners

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Reviews summary

Practical ab testing with r

According to students, this course offers a practical and clear introduction to AB testing, particularly valuing its hands-on RStudio examples for analyzing results. Many found it provided solid foundational knowledge, making it ideal for beginners aiming to implement AB tests in their professional roles. While largely positive, some intermediate learners felt it was too basic and could benefit from more advanced topics or deeper dives into certain statistical concepts, indicating it serves as an excellent starting point rather than a comprehensive deep dive.

Ideal starting point for those new to AB testing concepts.

"As someone completely new to AB testing, this course was exactly what I needed to understand it from the ground up."

"If you're looking to run your very first AB test, this course provides a perfect step-by-step guide to get started."

"I found it to be a very helpful introduction for professionals with limited prior knowledge in this domain."

Effectively teaches core AB testing principles for new learners.

"This course excels at explaining the fundamental concepts of AB testing in an accessible and engaging way."

"I gained a solid understanding of statistical significance, hypothesis testing, and experimental design from scratch."

"The instructor made complex topics like choosing your first test and analyzing results very easy to grasp."

Hands-on application of AB test analysis using RStudio.

"The practical application of RStudio to analyze results was a major highlight for me, very useful and actionable."

"I greatly appreciated the clear steps and provided R code for analyzing AB tests; it really solidified my understanding."

"Now I feel confident performing statistical analysis for my AB tests thanks to the R demonstrations in the course."

May not satisfy intermediate or advanced learners seeking deeper statistical insights.

"For someone with a background in statistics, I found the content a bit too superficial in certain areas."

"I hoped for more discussion on advanced topics like multi-variate testing, power analysis, or robust experimental design."

"While great for a start, I felt it didn't delve deeply enough into more complex statistical nuances for my needs."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Designing and Executing Your First AB Test with these activities:

Study 'The Lean Startup' by Eric Ries

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Expand your knowledge of the principles and practices of lean startup methodology, which are relevant to AB testing.

View The Startup Way: How Modern Companies Use... on Amazon

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Read the book thoroughly, taking notes and highlighting key concepts.
Reflect on how the ideas in the book relate to AB testing and your own business objectives.

Review statistics

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Reinforce your statistics knowledge and ensure you have a strong foundation

Browse courses on Probability

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Review measures of central tendency (mean, median, mode)
Review measures of variability (standard deviation, variance)
Review hypothesis testing

Review basic statistics

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Re-familiarize yourself with the fundamental concepts of statistics to strengthen your foundation for the course.

Browse courses on Statistical Analysis

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Examine your notes or textbooks from previous statistics courses.
Take practice quizzes or complete online exercises to test your understanding.

Ten other activities

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Follow tutorials on R and RStudio

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Become familiar with the tools you will use in the course

Browse courses on R

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Find tutorials on R and RStudio
Follow the tutorials to set up your software
Complete the exercises provided in the tutorials

Join a study group for AB testing

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Engage with peers to discuss course concepts, share insights, and collaborate on AB testing challenges.

Browse courses on Experiment Design

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Find or create a study group with other students taking the course.
Meet regularly to discuss assigned topics, review materials, and work on exercises together.
Share resources, tips, and support with group members.

Follow tutorials on AB testing tools

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Gain practical experience using AB testing tools to prepare for the hands-on components of the course.

Browse courses on Google Optimize

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Identify popular AB testing tools and select one to focus on.
Search for tutorials or documentation on the tool's website.
Follow the tutorials step-by-step to complete practice exercises.

Follow tutorials on AB testing

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Gain a deeper understanding of AB testing concepts

Browse courses on AB Testing

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Find tutorials on AB testing
Watch the tutorials to learn about the different types of AB tests
Complete the exercises provided in the tutorials

Attend an AB testing workshop

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Gain hands-on experience and learn from experts in the field by attending an AB testing workshop.

Browse courses on Case Studies

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Research and identify AB testing workshops in your area or online.
Register for a workshop that aligns with your learning goals.
Actively participate in the workshop, take notes, and ask questions.

Mentor other students in the course

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Reinforce your learning by helping others

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Join the course discussion forum
Answer questions from other students
Provide feedback on other students' work

Develop a mock AB test plan

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Apply your understanding of AB testing principles by creating a detailed plan for a hypothetical AB test.

Browse courses on Hypothesis Formulation

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Define a specific business objective you want to improve.
Formulate a hypothesis that you will test with the AB test.
Identify relevant metrics to track and determine how you will measure success.
Outline the design of your AB test, including the control and treatment groups.

Analyze AB test results using RStudio

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Practice analyzing AB test results using RStudio

Browse courses on RStudio

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Download a dataset of AB test results
Import the dataset into RStudio
Use RStudio to calculate the statistical significance of the results

Write a blog post on AB testing basics

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Reinforce your understanding of AB testing by explaining the fundamentals in a blog post.

Browse courses on Hypothesis Testing

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Choose a specific aspect of AB testing to focus on.
Research and gather information from reliable sources.
Write a clear and concise blog post, providing examples and explanations.
Share your blog post on relevant platforms to reach a wider audience.

Write a report on your first AB test

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Demonstrate your understanding of AB testing by writing a report on your first test

Browse courses on AB Testing

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Choose a topic for your AB test
Design and implement your AB test
Analyze the results of your AB test
Write a report on your AB test

Career center

Learners who complete Designing and Executing Your First AB Test will develop knowledge and skills that may be useful to these careers:

Growth Hacker

Growth Hackers are responsible for finding and implementing ways to grow a business. They work with a variety of teams, including product development, marketing, and sales, to identify opportunities for growth and develop and implement strategies to achieve growth. A course on AB testing can help Growth Hackers learn how to use AB testing to find and implement ways to grow a business. It can also help them learn how to track the impact of growth initiatives and make adjustments as needed.

See salaries and explore the career path for Growth Hacker

Data Analyst

Data Analysts are responsible for collecting, analyzing, and interpreting data. They use data to identify trends, patterns, and insights that can help businesses make better decisions. A course on AB testing can help Data Analysts develop the skills they need to design and execute AB tests. It can also help them analyze the results of AB tests and draw conclusions from the data.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians are responsible for collecting, analyzing, and interpreting data. They work with a variety of teams, including product development, marketing, and sales, to ensure that data is used to make informed decisions. A course on AB testing can help Statisticians develop the skills they need to design and execute AB tests. It can also help them learn how to analyze the results of AB tests and draw conclusions from the data.

See salaries and explore the career path for Statistician

Entrepreneur

Entrepreneurs are responsible for starting and running their own businesses. They work with a variety of teams, including employees, investors, and customers, to develop and launch new products and services. A course on AB testing can help Entrepreneurs learn how to use AB testing to make better decisions about which products and services to develop. It can also help them learn how to track the impact of changes to their businesses and make adjustments as needed.

See salaries and explore the career path for Entrepreneur

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. They work with a variety of teams, including product development, sales, and customer service, to ensure that marketing campaigns are aligned with business goals. A course on AB testing can help Marketing Managers make better decisions about which marketing channels to use and how to target customers. It can also help them track the impact of marketing campaigns and make adjustments as needed.

See salaries and explore the career path for Marketing Manager

User Experience Designer

User Experience Designers are responsible for designing the user experience of products and services. They work with a variety of teams, including product development, marketing, and engineering, to ensure that products and services are easy to use and enjoyable to use. A course on AB testing can help User Experience Designers learn how to use AB testing to improve the user experience of products and services. It can also help them learn how to track the impact of changes to the user experience and make adjustments as needed.

See salaries and explore the career path for User Experience Designer

Data Scientist

Data Scientists are responsible for developing and applying statistical and machine learning models to data. They work with a variety of teams, including product development, marketing, and sales, to ensure that data is used to make informed decisions. A course on AB testing can help Data Scientists learn how to use AB testing to improve the accuracy of their models. It can also help them learn how to track the impact of changes to models and make adjustments as needed.

See salaries and explore the career path for Data Scientist

Product Owner

Product Owners are responsible for managing the development and launch of new products. They work with a variety of teams, including product development, marketing, and sales, to ensure that products meet the needs of customers. A course on AB testing can help Product Owners make better decisions about which features to develop and how to market products. It can also help them track the impact of changes to products and make adjustments as needed.

See salaries and explore the career path for Product Owner

Product Manager

Product Managers are responsible for the planning, development, and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. A course on AB testing can help Product Managers make better decisions about which features to develop and how to market products. It can also help them track the impact of changes to products and make adjustments as needed.

See salaries and explore the career path for Product Manager

Quantitative Analyst

Quantitative Analysts are responsible for developing and applying mathematical and statistical models to financial data. They work with a variety of teams, including portfolio managers, traders, and risk managers, to ensure that financial decisions are made on the basis of sound data. A course on AB testing can help Quantitative Analysts learn how to use AB testing to improve the accuracy of their models. It can also help them learn how to track the impact of changes to models and make adjustments as needed.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

Operations Research Analysts are responsible for developing and applying mathematical and statistical models to solve business problems. They work with a variety of teams, including product development, marketing, and sales, to ensure that business decisions are made on the basis of sound data. A course on AB testing can help Operations Research Analysts learn how to use AB testing to improve the efficiency and effectiveness of business processes.

See salaries and explore the career path for Operations Research Analyst

Management Consultant

Management Consultants are responsible for helping businesses improve their performance. They work with a variety of teams, including senior management, to identify opportunities for improvement and develop and implement solutions. A course on AB testing can help Management Consultants learn how to use AB testing to gather data about the impact of changes to business processes. It can also help them learn how to analyze the results of AB tests and make recommendations based on the data.

See salaries and explore the career path for Management Consultant

Market Researcher

Market Researchers are responsible for conducting research to identify and understand the needs of customers. They work with a variety of teams, including product development, marketing, and sales, to ensure that products and services meet the needs of customers. A course on AB testing can help Market Researchers learn how to use AB testing to gather data about customer behavior. It can also help them learn how to analyze the results of AB tests and make recommendations based on the data.

See salaries and explore the career path for Market Researcher

Business Analyst

Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. They work with a variety of teams, including product development, marketing, and sales, to ensure that business processes are efficient and effective. A course on AB testing can help Business Analysts learn how to use AB testing to improve business processes. It can also help them learn how to track the impact of changes to business processes and make adjustments as needed.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. They work with a variety of teams, including product development, marketing, and customer service, to ensure that software applications meet the needs of users. A course on AB testing can help Software Engineers build a foundation in the principles of experimental design. It can also help them learn how to use AB testing to improve the user experience of software applications.

See salaries and explore the career path for Software Engineer

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Designing and Executing Your First AB Test.

Lean Startup: How Today's Entrepreneurs Use...

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Provides a framework for building successful startups by testing ideas quickly and cheaply. It covers topics such as customer development, product-market fit, and the importance of iteration.

The Lean Startup: How Today's Entrepreneurs Use...

Hardcover

The Lean Startup: How Today's Entrepreneurs Use...

Kindle Edition

Don't Make Me Think, Revisited

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Provides practical advice on how to design websites that are easy to use. It covers topics such as visual hierarchy, navigation, and content strategy.

Don't Make Me Think, Revisited: A Common Sense...

Paperback

Don't Make Me Think, Revisited : A Common Sense...

Hardcover

$$$

Don't Make Me Think, Revisited: A Common Sense...

Kindle Edition

Web Analytics

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Provides a practical guide to web analytics, with a focus on using Google Analytics to measure the success of your website. It covers topics such as traffic analysis, goal setting, and reporting.

A / B Testing

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Provides a practical guide to AB testing, with a focus on using AB testing to grow your business. It covers topics such as choosing the right metrics, designing experiments, and analyzing the results.

A / B Testing: The Most Powerful Way to Turn Clicks...

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A / B Testing: The Most Powerful Way to Turn Clicks...

Kindle Edition

The Disruptive Innovation Set (2 Books)

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Provides a framework for understanding why large companies often fail to innovate. It covers topics such as the innovator's dilemma, disruptive technologies, and the importance of customer focus.

The Disruptive Innovation Set (2 Books)

Paperback

The Disruptive Innovation Set (2 Books)

Kindle Edition

Introduction to Econometrics, Global Edition

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Provides a comprehensive guide to econometrics. It covers topics such as regression analysis, time series analysis, and causal inference.

Introduction to Econometrics, Global Edition

Paperback

Check price

Introduction to Econometrics, Global Edition

Kindle Edition

Check price

Causal Inference in Statistics

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Provides a comprehensive guide to causal inference in statistics. It covers topics such as graphical models, structural equation models, and counterfactuals.

Causal Inference in Statistics - A Primer

Paperback

Causal Inference in Statistics: A Primer

Kindle Edition

Mapping the Way from Teacher Preparation to edTPA®...

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Provides a comprehensive guide to AB testing, with a focus on using AB testing to improve your website's conversion rate. It covers topics such as choosing the right metrics, designing experiments, and analyzing the results.

Mapping the Way from Teacher Preparation to edTPA®...

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Mapping the Way from Teacher Preparation to edTPA®...

Kindle Edition