Launch Effective A/B Tests
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Launch Effective A/B Tests
This course is part of Statistical Inference & Predictive Modeling Foundations Specialization
Instructor: Hurix Digital
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What you'll learn
Experimental Rigor Drives Value:Statistically valid A/B tests deliver reliable insights that support major business investments and strategic changes
Significance vs Impact: Statistical significance alone doesn’t guarantee business impact; both are needed for rollout decisions.
Systematic Experimentation Culture: Organizations using structured A/B testing outperform those driven by intuition or anecdotes.
Risk-Balanced Decisions: Good experimentation balances statistical confidence with business urgency, cost, and competition.
Details to know
March 2026
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There are 2 modules in this course
Ready to turn your business hunches into data-driven breakthroughs? This Short Course was created to help data analysts accomplish statistically sound A/B testing that drives measurable business impact. By completing this course, you'll be able to design experiments that generate reliable insights, implement tracking systems that capture meaningful metrics, and make rollout decisions that balance statistical rigor with business judgment.
By the end of this course, you will be able to: Design and launch online A/B tests with proper tracking and statistical methodology Calculate performance uplift with 95% confidence and evaluate practical significance Make informed rollout decisions based on both statistical and business criteria This course is unique because it bridges the gap between experimental theory and real-world business application, focusing on actionable skills that immediately impact your organization's decision-making process. To be successful in this course, you should have a background in basic statistics and data analysis tools.
Learners will design and conceptually design and plan online A/B tests with proper tracking and statistical methodology.
What's included
2 videos1 reading1 assignment1 ungraded lab
2 videos•Total 6 minutes
- Setting Up Your First A/B Test: Platform Configuration and Tracking•3 minutes
- Calculating Statistical Significance and Confidence Intervals•3 minutes
1 reading•Total 12 minutes
- A/B Testing Fundamentals: From Hypothesis to Statistical Power•12 minutes
1 assignment•Total 8 minutes
- A/B Test Design and Statistical Analysis Assessment•8 minutes
1 ungraded lab•Total 20 minutes
- Design and Launch Your A/B Test Experiment•20 minutes
Learners will evaluate practical vs. statistical significance and make rollout decisions. That optimize both business value and resource allocation.
What's included
2 videos2 readings2 assignments
2 videos•Total 7 minutes
- When Numbers Don't Tell the Whole Story•4 minutes
- Evaluating Results: Statistical vs. Practical Significance Analysis•3 minutes
2 readings•Total 16 minutes
- Podcast: Practical vs. Statistical Significance: A Decision-Making Framework•6 minutes
- Building a Decision Framework: Cost-Benefit Analysis for A/B Test Results•10 minutes
2 assignments•Total 43 minutes
- Course-Level Assessment: Launch Effective A/B Tests•25 minutes
- A/B Test Decision-Making: Statistical vs. Practical Significance Evaluation•18 minutes
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