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Patrick Nussbaumer
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/2jm7jt/udacity
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What's inside
Syllabus
Understand the fundamentals of A/B testing, including selecting target and control units and variables and the duration of a test.
Select test and control variables and understand the importance of sample size. Design a randomized design A/B test and analyze the results.
Read more
Syllabus
Understand the fundamentals of A/B testing, including selecting target and control units and variables and the duration of a test.
Select test and control variables and understand the importance of sample size. Design a randomized design A/B test and analyze the results.
Read more
Match test units to control units. Design a matched pair design A/B test and analyze the results.
Use trend and seasonality as control variables for a matched pair design A/B test.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Supports data-informed decision-making in business
Builds foundational knowledge for designing and analyzing experiments
Covers fundamentals, such as target selection, variables, and duration
Focuses on both randomized design and matched pair design
Emphasizes the importance of sample size and control variables
Course requires a baseline understanding of statistics
Save this course
Save A/B Testing for Business Analysts to your list so you can find it easily later:
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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 for Business Analysts with these
activities:
Review Experimental Design Principles
Show steps
Revisit fundamental principles of experimental design to enhance your understanding of A/B testing.
Browse courses on
Experimental Design
Show steps
-
Review key concepts like randomization, control groups, and blinding.
-
Explore common experimental designs and their applications.
-
Consider potential biases and threats to validity.
Review Statistical Methods
Show steps
Review basic statistical methods to strengthen your foundation for understanding A/B testing.
Browse courses on
Statistical Methods
Show steps
-
Revisit concepts of probability, distributions, and sampling.
-
Practice calculating mean, median, and standard deviation.
-
Review hypothesis testing and statistical significance.
Read 'A/B Testing: The Most Powerful Way to Make Smart Decisions' by Dan Siroker and Pete Koomen
Show steps
Gain insights from industry experts by reading this comprehensive guide to A/B testing.
View
A/B Testing: The Most Powerful Way to Turn...
on Amazon
Show steps
-
Read the book thoroughly and take notes.
-
Highlight important concepts and case studies.
-
Summarize key takeaways and apply them to your own work.
Five other activities
Expand to see all activities and additional details
Show all eight activities
A/B Testing Group Discussion
Show steps
Engage with peers to discuss concepts, share experiences, and provide feedback on A/B testing approaches.
Browse courses on
A/B Testing
Show steps
-
Join or form a study group.
-
Prepare questions and case studies for discussion.
-
Contribute actively to discussions and share your insights.
A/B Testing Case Studies
Show steps
Explore real-world examples of A/B testing to gain practical insights into its applications.
Browse courses on
A/B Testing
Show steps
-
Identify and analyze case studies in various industries.
-
Examine the objectives, methodologies, and results of A/B tests.
-
Extract best practices and lessons learned from case studies.
A/B Testing Simulations
Show steps
Gain hands-on experience with A/B testing by conducting simulated experiments.
Browse courses on
A/B Testing
Show steps
-
Use online tools or software to create A/B testing simulations.
-
Design test scenarios and set up experiments.
-
Analyze results and make data-driven conclusions.
A/B Testing Blog Post
Show steps
Solidify your understanding by writing a blog post that explains A/B testing concepts and best practices.
Browse courses on
A/B Testing
Show steps
-
Choose a specific aspect of A/B testing to focus on.
-
Research and gather relevant information.
-
Write a clear and concise post that shares your knowledge.
-
Publish your blog post and share it with others.
A/B Testing Plan
Show steps
Apply your understanding by creating a comprehensive plan for conducting an A/B test in a real-world scenario.
Browse courses on
A/B Testing
Show steps
-
Identify a problem or opportunity for improvement.
-
Define the target audience and control group.
-
Develop hypotheses and design test variations.
-
Specify metrics for success and determine sample size.
-
Outline an implementation timeline and resource allocation.
Review Experimental Design Principles
Show steps
Revisit fundamental principles of experimental design to enhance your understanding of A/B testing.
Browse courses on
Experimental Design
Show steps
Show steps
Show steps
- Review key concepts like randomization, control groups, and blinding.
- Explore common experimental designs and their applications.
- Consider potential biases and threats to validity.
Review Statistical Methods
Show steps
Review basic statistical methods to strengthen your foundation for understanding A/B testing.
Browse courses on
Statistical Methods
Show steps
Show steps
Show steps
- Revisit concepts of probability, distributions, and sampling.
- Practice calculating mean, median, and standard deviation.
- Review hypothesis testing and statistical significance.
Read 'A/B Testing: The Most Powerful Way to Make Smart Decisions' by Dan Siroker and Pete Koomen
Show steps
Gain insights from industry experts by reading this comprehensive guide to A/B testing.
View
A/B Testing: The Most Powerful Way to Turn...
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly and take notes.
- Highlight important concepts and case studies.
- Summarize key takeaways and apply them to your own work.
Five other activities
Expand to see all activities and additional details
Show all eight activities
A/B Testing Group Discussion
Show steps
Engage with peers to discuss concepts, share experiences, and provide feedback on A/B testing approaches.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Join or form a study group.
- Prepare questions and case studies for discussion.
- Contribute actively to discussions and share your insights.
A/B Testing Case Studies
Show steps
Explore real-world examples of A/B testing to gain practical insights into its applications.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Identify and analyze case studies in various industries.
- Examine the objectives, methodologies, and results of A/B tests.
- Extract best practices and lessons learned from case studies.
A/B Testing Simulations
Show steps
Gain hands-on experience with A/B testing by conducting simulated experiments.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Use online tools or software to create A/B testing simulations.
- Design test scenarios and set up experiments.
- Analyze results and make data-driven conclusions.
A/B Testing Blog Post
Show steps
Solidify your understanding by writing a blog post that explains A/B testing concepts and best practices.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Choose a specific aspect of A/B testing to focus on.
- Research and gather relevant information.
- Write a clear and concise post that shares your knowledge.
- Publish your blog post and share it with others.
A/B Testing Plan
Show steps
Apply your understanding by creating a comprehensive plan for conducting an A/B test in a real-world scenario.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Identify a problem or opportunity for improvement.
- Define the target audience and control group.
- Develop hypotheses and design test variations.
- Specify metrics for success and determine sample size.
- Outline an implementation timeline and resource allocation.
Career center
Learners who complete A/B Testing for Business Analysts will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses make better decisions. They work with a variety of data sources, including surveys, experiments, and observational studies. Statisticians typically have a strong background in mathematics and statistics, and they are proficient in using statistical software. The A/B Testing course may be useful for Statisticians who want to learn more about how to design and analyze A/B tests to improve their statistical analysis skills.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns to promote products or services. They work with a variety of teams, including sales, product development, and public relations, to develop and implement marketing strategies. Marketing Managers typically have a strong understanding of marketing principles and practices, and they are able to think creatively about how to reach target audiences. The A/B Testing course may be useful for Marketing Managers who want to learn more about how to design and analyze A/B tests to improve their marketing campaigns.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products or services. They work with engineers, designers, and marketers to bring products to market that meet the needs of customers. Product Managers typically have a strong understanding of business and technology, and they are able to think strategically about product development. The A/B Testing course may be useful for Product Managers who want to learn more about how to design and analyze A/B tests to improve their product development process.
Product Designer
Product Designer
Product Designers design and develop products that are both user-friendly and effective. They work with a variety of stakeholders, including engineers, marketers, and customers, to create products that meet the needs of users. Product Designers typically have a strong understanding of design principles and practices, and they are able to think creatively about how to design products that are both beautiful and functional. The A/B Testing course may be useful for Product Designers who want to learn more about how to design and analyze A/B tests to improve their product design process.
UX Researcher
UX Researcher
UX Researchers study how users interact with products and services. They use this information to design and develop products that are user-friendly and effective. UX Researchers typically have a strong understanding of human behavior and psychology, and they are able to think creatively about how to improve the user experience. The A/B Testing course may be useful for UX Researchers who want to learn more about how to design and analyze A/B tests to improve their user research process.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to help businesses make better decisions. Data Scientists typically have a strong background in mathematics and statistics, and they are proficient in using data analysis software. The A/B Testing course may be useful for Data Scientists who want to learn more about how to design and analyze A/B tests to improve their data analysis skills.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to help businesses make better decisions. Data Analysts typically have a strong background in mathematics and statistics, and they are proficient in using data analysis software. The A/B Testing course may be useful for Data Analysts who want to learn more about how to design and analyze A/B tests to improve their data analysis skills.
Marketing Analyst
Marketing Analyst
Marketing Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to help businesses make better decisions about their marketing campaigns. Marketing Analysts typically have a strong background in mathematics and statistics, and they are proficient in using data analysis software. The A/B Testing course may be useful for Marketing Analysts who want to learn more about how to design and analyze A/B tests to improve their marketing analysis skills.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams to achieve sales targets. They develop sales strategies, manage sales pipelines, and provide training and support to sales representatives. Sales Managers typically have a strong understanding of sales techniques and principles, and they are able to build relationships with customers. The A/B Testing course may be useful for Sales Managers who want to learn more about how to design and analyze A/B tests to improve their sales strategies.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of technologies, including programming languages, databases, and operating systems. Software Engineers typically have a strong understanding of computer science principles and practices, and they are able to think creatively about how to solve software problems. The A/B Testing course may be useful for Software Engineers who want to learn more about how to design and analyze A/B tests to improve their software development process.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. They work with a variety of technologies, including HTML, CSS, and JavaScript. Web Developers typically have a strong understanding of web development principles and practices, and they are able to think creatively about how to design and develop websites that are both user-friendly and effective. The A/B Testing course may be useful for Web Developers who want to learn more about how to design and analyze A/B tests to improve their web development process.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with a variety of stakeholders, including team members, clients, and vendors, to ensure that projects are completed on time, within budget, and to the required quality standards. Project Managers typically have a strong understanding of project management principles and practices, and they are able to think strategically about how to manage projects effectively. The A/B Testing course may be useful for Project Managers who want to learn more about how to design and analyze A/B tests to improve their project management process.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. They oversee production, inventory, and customer service, and they work to improve efficiency and productivity. Operations Managers typically have a strong understanding of business operations and management principles, and they are able to think strategically about how to improve business performance. The A/B Testing course may be useful for Operations Managers who want to learn more about how to design and analyze A/B tests to improve their operations.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics, including business strategy, operations, and technology. They work with clients to identify problems, develop solutions, and implement change. Consultants typically have a strong understanding of business principles and practices, and they are able to think strategically about how to improve business performance. The A/B Testing course may be useful for Consultants who want to learn more about how to design and analyze A/B tests to improve their consulting services.
Business Analyst
Business Analyst
A Business Analyst is a professional who can help businesses achieve their goals by improving their operations and processes. Business Analysts may work on a variety of projects, including developing new products or services, improving customer service, or reducing costs. They are responsible for gathering and analyzing data, identifying problems, and recommending solutions. The A/B Testing course may be useful for Business Analysts who want to learn more about how to design and analyze A/B tests to improve their decision making.
For more career information including salaries, visit:
OpenCourser.com/course/2jm7jt/udacity
Reading list
We've selected 14 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 for Business Analysts.
Provides a comprehensive overview of A/B testing, covering everything from the basics to advanced techniques. It valuable resource for anyone who wants to learn more about A/B testing and how to use it to improve their business.
Is written specifically for product managers who want to learn how to use A/B testing to improve their products. It covers everything from the basics of A/B testing to advanced techniques that can be used to optimize product performance.
Save
Provides a guide to A/B testing for startups. It covers everything from the basics of A/B testing to advanced techniques that can be used to optimize startup performance.
Provides a guide to A/B testing for SaaS businesses. It covers everything from the basics of A/B testing to advanced techniques that can be used to optimize SaaS performance.
Provides a more general overview of the lean startup approach, which includes A/B testing as a key tool for validating ideas and improving products.
Provides a more theoretical look at the challenges faced by established companies when they try to innovate, which can be useful for understanding the importance of A/B testing as a tool for disrupting incumbents.
Provides a fascinating look at the psychology of decision making, which can be useful for understanding why users behave the way they do and for designing A/B tests that are more likely to be successful.
Save
Provides a comprehensive overview of the cognitive biases that affect our decision making, which can be useful for understanding the challenges of designing and interpreting A/B tests.
Provides a classic overview of the challenges of software development, which can be useful for understanding the importance of carefully planning and executing A/B tests.
Provides a practical guide to web usability, which can be useful for understanding how to design A/B tests that are easy to use and understand.
Provides a classic overview of the principles of user experience design, which can be useful for understanding how to create A/B tests that are user-friendly and effective.
Save
Provides a practical guide to software deployment, which can be useful for understanding how to deploy A/B tests in a production environment.
Provides a classic guide to writing clearly and concisely, which can be useful for understanding how to effectively communicate the results of A/B tests to stakeholders.
Provides a practical guide to software development, which can be useful for understanding how to design and implement A/B tests in a scalable and reliable way.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2jm7jt/udacity
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Effort
5 hours
Via
Udacity
Instructor
Patrick Nussbaumer
Language
English
Good to know
Supports data-informed decision-making in business
Builds foundational knowledge for designing and analyzing experiments
Covers fundamentals, such as target selection, variables, and duration
Focuses on both randomized design and matched pair design
Emphasizes the importance of sample size and control variables
Course requires a baseline understanding of statistics
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