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Carrie Grimes,
Caroline Buckey,
and
Diane Tang
Take Udacity's Introduction to A/B Testing course and design and implement an A/B test to determine the efficacy of potential improvements to an online site or mobile app.
Register for this course and see more details by visiting:
OpenCourser.com/course/uip28a/udacity
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What's inside
Syllabus
Learn about what A/B testing is and what it can be used for.
Find out how to ensure experiment participants are adequately protected, and learn what questions you should be asking regarding the ethicality of experiments.
Read more
Syllabus
Learn about what A/B testing is and what it can be used for.
Find out how to ensure experiment participants are adequately protected, and learn what questions you should be asking regarding the ethicality of experiments.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches concepts that are applicable to both websites and mobile apps
Covers design, implementation, and analysis of A/B tests
Emphasizes ethical considerations in A/B testing
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Create your own learning path.
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Reviews summary
Practical a/b testing foundation
According to students, this course provides a strong foundation in A/B testing, particularly noted as being excellent for beginners. Many found the explanations of core concepts clear and concise. The hands-on project is frequently highlighted as a valuable component that helps solidify learning and provide practical experience. However, some learners indicate that the course lacks depth on more advanced statistical topics or implementation details, and a few mention that parts of the content may feel slightly outdated. Overall, it's seen as a great starting point for those new to the field, offering useful, career-relevant skills.
Concepts explained well for beginners.
"The instructors explain the concepts clearly, especially for non-statisticians."
"Found the lectures easy to follow and understand."
"Complex ideas were broken down into manageable parts."
"The explanations of the core statistical ideas were surprisingly clear."
Project provides valuable hands-on practice.
"The project is the best part of this course. It really helps you apply what you learned."
"Working through the final project solidified my understanding of the entire process."
"Found the project to be challenging but very rewarding and practical."
"The hands-on assignment was crucial for gaining real-world skills."
Excellent introduction for beginners.
"The course provides a solid foundation in A/B testing concepts."
"This was a perfect introductory course for someone completely new to the field."
"Gave me a really good overview of what A/B testing is and how it works."
"Learned the basic principles and why A/B tests are important."
Some parts may feel slightly old.
"Some of the tools or examples mentioned seemed a little outdated."
"Could benefit from updates to reflect current industry standards or platforms."
"While the principles are timeless, some specific references felt old."
Too basic for experienced learners.
"While good for basics, it doesn't go deep enough into complex statistics or nuances."
"I have some experience and found the content to be very surface-level."
"Could use more advanced topics for those already familiar with the fundamentals."
"Wish there was more detail on technical implementation challenges."
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 A/B Testing with these
activities:
Review your notes from previous courses
Show steps
Refresh your memory on related topics you've covered in previous courses to enhance your understanding of A/B Testing.
Show steps
-
Review your notes or textbooks
-
Take practice quizzes or tests
Refresh your basic statistics knowledge
Show steps
Ensure you have a solid foundation in statistics to support your understanding of A/B Testing.
Browse courses on
Statistics
Show steps
-
Review basic statistical concepts
-
Practice solving statistical problems
Participate in A/B Testing discussions
Show steps
Engage with other students to discuss A/B Testing concepts and share your experiences.
Browse courses on
A/B Testing
Show steps
-
Join online forums or discussion groups
-
Participate in discussions and ask questions
-
Share your own insights and experiences
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow A/B Testing tutorials
Show steps
Enhance your understanding of A/B Testing by following tutorials that provide step-by-step guidance.
Browse courses on
A/B Testing
Show steps
-
Follow tutorials on Udacity or other online platforms
-
Apply what you've learned to your own A/B Testing projects
Review 'Designing Data-Intensive Applications'
Show steps
Review some of the fundamental concepts of data warehousing, such as denormalization, to strengthen your understanding of data intensive applications.
View
Secret Colors
on Amazon
Show steps
-
Read Chapters 1-3
-
Read the case study on Twitter's architecture
-
Solve the exercises at the end of the chapters
Solve A/B Testing problems
Show steps
Reinforce your understanding of A/B Testing by solving problems that require you to apply the concepts you've learned.
Browse courses on
A/B Testing
Show steps
-
Solve problems from the Udacity course or other online resources
-
Create your own A/B Testing problems and solve them
Create an A/B Testing project plan
Show steps
Demonstrate your understanding of A/B Testing by creating a plan that outlines your hypothesis, metrics, and analysis strategy.
Browse courses on
A/B Testing
Show steps
-
Define your research question and hypothesis
-
Identify your target audience
-
Choose your metrics
-
Design your experiment
-
Analyze your results
Write an A/B Testing blog post
Show steps
Deepen your understanding of A/B Testing by explaining the concepts and sharing your insights in a blog post.
Browse courses on
A/B Testing
Show steps
-
Choose a topic related to A/B Testing
-
Research the topic and gather information
-
Write your blog post
-
Publish your blog post
Review your notes from previous courses
Show steps
Refresh your memory on related topics you've covered in previous courses to enhance your understanding of A/B Testing.
Show steps
Show steps
Show steps
- Review your notes or textbooks
- Take practice quizzes or tests
Refresh your basic statistics knowledge
Show steps
Ensure you have a solid foundation in statistics to support your understanding of A/B Testing.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review basic statistical concepts
- Practice solving statistical problems
Participate in A/B Testing discussions
Show steps
Engage with other students to discuss A/B Testing concepts and share your experiences.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Join online forums or discussion groups
- Participate in discussions and ask questions
- Share your own insights and experiences
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow A/B Testing tutorials
Show steps
Enhance your understanding of A/B Testing by following tutorials that provide step-by-step guidance.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Follow tutorials on Udacity or other online platforms
- Apply what you've learned to your own A/B Testing projects
Review 'Designing Data-Intensive Applications'
Show steps
Review some of the fundamental concepts of data warehousing, such as denormalization, to strengthen your understanding of data intensive applications.
View
Secret Colors
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-3
- Read the case study on Twitter's architecture
- Solve the exercises at the end of the chapters
Solve A/B Testing problems
Show steps
Reinforce your understanding of A/B Testing by solving problems that require you to apply the concepts you've learned.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Solve problems from the Udacity course or other online resources
- Create your own A/B Testing problems and solve them
Create an A/B Testing project plan
Show steps
Demonstrate your understanding of A/B Testing by creating a plan that outlines your hypothesis, metrics, and analysis strategy.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Define your research question and hypothesis
- Identify your target audience
- Choose your metrics
- Design your experiment
- Analyze your results
Write an A/B Testing blog post
Show steps
Deepen your understanding of A/B Testing by explaining the concepts and sharing your insights in a blog post.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Choose a topic related to A/B Testing
- Research the topic and gather information
- Write your blog post
- Publish your blog post
Career center
Learners who complete A/B Testing will develop knowledge and skills
that may be useful to these careers:
Web Developer
Web Developer
A Web Developer could directly implement the results of an A/B test to improve a site or app. By learning the concepts of A/B testing, a Web Developer can make more informed recommendations for improving metrics that are important to stakeholders.
Data Scientist
Data Scientist
A Data Scientist can apply the insights gathered from an A/B test to make informed decisions to improve a site or app, potentially increasing profits or other key user metrics. Taking this course would provide aspiring Data Scientists with the necessary foundation to effectively design, implement, and analyze A/B tests under different real-world business constraints.
Product Manager
Product Manager
A Product Manager is often responsible for identifying and prioritizing potential improvements to a site or app. Having a strong understanding of A/B testing can help a Product Manager evaluate and prioritize these improvements, which can lead to a more successful product.
Data Analyst
Data Analyst
A Data Analyst has the skills necessary to analyze the data from an A/B test and determine which changes are statistically significant. This course will provide a Data Analyst with the knowledge they need to interpret the results of an A/B test and communicate them to stakeholders.
User Experience Researcher
User Experience Researcher
A User Experience Researcher can use the results of an A/B test to understand how users interact with a site or app. This information can be used to make improvements that enhance the user experience.
Marketing Manager
Marketing Manager
A Marketing Manager can use the results of an A/B test to improve the effectiveness of marketing campaigns. This course will help an aspiring Marketing Manager to apply principles of A/B testing to better target and optimize marketing efforts.
Business Analyst
Business Analyst
A Business Analyst can use the results of an A/B test to analyze the potential impact of changes to a site or app. This information can be used to make informed decisions about which changes to implement.
Market Researcher
Market Researcher
A Market Researcher can use the results of an A/B test to understand how users respond to different marketing messages. This information can be used to develop more effective marketing campaigns.
Digital Marketing Manager
Digital Marketing Manager
A Digital Marketing Manager can use the results of an A/B test to improve the effectiveness of their digital marketing campaigns. By taking this course, a Digital Marketing Manager will learn the skills they need to design and implement A/B tests that can lead to improved performance.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst can use their knowledge of mathematics and statistics to design and analyze A/B tests. This course will help a Quantitative Analyst learn the specific techniques that are used in A/B testing.
Growth Hacker
Growth Hacker
A Growth Hacker can use the results of an A/B test to identify opportunities to improve the growth of a site or app. By taking this course, a Growth Hacker will learn the skills they need to design and implement A/B tests that can lead to significant growth.
Product Designer
Product Designer
A Product Designer can use the results of an A/B test to evaluate the effectiveness of different designs. This information can be used to create more user-friendly and engaging products.
Software Engineer
Software Engineer
A Software Engineer may be responsible for implementing the changes that are identified by an A/B test. By taking this course, a Software Engineer will gain the knowledge they need to understand the requirements of an A/B test and to implement the changes in a way that minimizes risk.
Consultant
Consultant
A Consultant can use their knowledge of best practices in A/B testing to advise clients on how to improve their sites and apps. By taking this course, a Consultant will gain the skills they need to effectively design and implement A/B tests for their clients.
Statistician
Statistician
A Statistician can use their knowledge of statistics to assist in the design and analysis of A/B tests. This course will help a Statistician learn the specific considerations and techniques that are used in A/B testing.
For more career information including salaries, visit:
OpenCourser.com/course/uip28a/udacity
Reading list
We've selected 13 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
A/B Testing.
Introduces the fundamentals of bandit algorithms and their application to website optimization.
Introduces Bayesian statistics, which can be used to analyze A/B test results and make more informed decisions.
Provides a comprehensive overview of causal inference, which is essential for understanding the results of A/B tests and making valid conclusions.
Must-read for anyone who wants to learn about the lean startup methodology. It provides a practical framework for building and testing new products and services.
Save
Provides a comprehensive overview of web analytics, which is essential for understanding the results of A/B tests and making data-driven decisions.
Provides a practical guide to web usability, which is essential for designing A/B tests that are both effective and user-friendly.
Provides a practical guide to designing and conducting experiments, including A/B tests, to maximize the information gained.
Provides a framework for understanding how disruptive technologies can impact businesses, and how to use A/B testing to stay ahead of the competition.
Save
Provides a framework for developing good strategies, which can be used to inform the design of A/B tests.
Provides a framework for using analytics to improve business performance, including A/B testing.
Provides a comprehensive overview of data science, including data mining and data-analytic thinking, which are essential for designing and conducting effective A/B tests.
Provides a comprehensive overview of machine learning, including probabilistic models and algorithms, which can be used to analyze A/B test results.
Provides a comprehensive overview of statistical learning, including data mining, inference, and prediction, which are essential for designing and conducting effective A/B tests.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/uip28a/udacity
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