Virtual Training
Data Science, AI, and Advanced Analytics
A/B Testing and Experimentation Design Online Course
Join our virtual, live instructor-led session and master A/B Testing and Experimentation Design Training from anywhere in the world.
5 Days
Duration
Live Online
Delivery
12 Dates
Available
Certificate
Included
Master A/B testing and experimentation design to improve conversion decisions, statistical validity, and test governance through structured experimentation workflows.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| ABT-02 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ABT-02 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ABT-02 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ABT-02 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ABT-02 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ABT-02 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Experimentation Foundations
2
Statistical Power Planning
3
Hypothesis Design
4
Experiment Implementation
5
Result Interpretation
6
Experiment Governance
7
Decision Reporting
Market-specific guidance for Bahamas
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
5Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Adobe Target AdobeUsed to run controlled website and app experiments, test different user experiences, and measure conversion impact.
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Optimizely OptimizelyUsed for experimentation and feature testing when teams need to compare variants and analyze statistically meaningful outcomes.
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GrowthBook GrowthBookUsed by product and engineering teams to plan, launch, and analyze feature experiments with a stronger focus on product decision-making.
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Mixpanel MixpanelUsed to track experiment metrics, segment user behavior, and compare outcomes across control and variant groups.
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Power BI MicrosoftUsed to visualize experiment results, monitor KPI movement, and communicate test readouts to stakeholders.
Where this course runs
A/B Testing and Experimentation Design Training is delivered in the cities below — pick the one that fits your schedule.
