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 Canada
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 A/B tests and personalize digital experiences across web and app journeys.
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Optimizely OptimizelyUsed for experimentation workflows, feature rollouts, and measuring the impact of product changes.
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Mixpanel MixpanelUsed to track user behaviour and compare experiment outcomes against activation, retention, and engagement metrics.
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Power BI MicrosoftUsed to build dashboards that monitor experiment metrics and share results with product and marketing stakeholders.
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Tableau SalesforceUsed to visualize experiment data, segment results, and present readouts to decision-makers.
Where this course runs
A/B Testing and Experimentation Design Training is delivered in the cities below — pick the one that fits your schedule.
