Strategic Experimentation for Data-Backed Decisions
Master experimental design and A/B testing techniques to validate hypotheses, optimize business processes and minimize uncertainty in strategic decision-making.
$399
Total: Course cost
4 Hours to complete
4 modules
Online - self-paced
Learning modality
Earn a credential
View credential
$399
Total: Course cost
4 Hours to complete
4 modules
Online - self-paced
Learning modality
Earn a credential
View credential
$399
Total: Course cost
4 Hours to complete
4 modules
Online - self-paced
Learning modality
Earn a credential
View credential
$399
Total: Course cost
4 Hours to complete
Duration
Online - self-paced
Overview
Learn how to plan, execute and analyze experiments to support evidence-based decision-making and organizational improvement. This course introduces learners to the fundamentals of experimental design, from basic A/B testing to more advanced experimentation strategies used to optimize processes and outcomes.
Participants will explore how to reduce uncertainty, avoid common pitfalls in hypothesis testing and apply experimental methods to real-world business scenarios. By the end of the course, learners will be equipped with the tools to design effective experiments that drive measurable, data-informed results.
Key Benefits:
- Design strategically aligned experiments with clear hypotheses
- Avoid common pitfalls in hypothesis testing
- Build organizational experimentation culture
What's Included:
- Expert guidance from Dr. Suman Bhattacharya, director of data science
- Statistical foundations for controlled experimentation
- Practical frameworks for business growth experimentation programs
- Advanced techniques beyond traditional A/B testing
Transform intuition-based decisions into validated, data-backed strategic choices.
Course Modules
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Certificate program
This course is a part of the following certificate program:
Who this course is designed for
- Product managers optimizing features and user experiences
- Marketing leaders testing campaigns and messaging strategies
- Business leaders establishing data-driven organizational cultures
- Operations managers improving processes through systematic testing
- Growth professionals seeking evidence-based optimization approaches
- Decision-makers wanting to validate assumptions before full-scale implementation
Outcomes
By the end of this course, you’ll be able to:
- Explain the importance of experimental design in business decision-making
- Craft strategic experiment hypotheses aligned with organizational objectives
- Articulate steps to ensure structured experimentation with controlled variables and systematic data collection
- Recognize common pitfalls in experimental design and practice ways to mitigate them
- Develop strategies to foster a culture of experimentation within your organization
- Identify the limitations of A/B testing and understand when alternative methods are more suitable
- Apply experimental design techniques to real-world decision-making scenarios
Program support
Have additional questions?
Have a questions? Please reach out to certificatehelp@thunderbird.asu.edu for help.
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