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.
Overview
Syllabus
- Module 1: A/B Test Design & Launch - Foundation
- Learners will design and conceptually design and plan online A/B tests with proper tracking and statistical methodology.
- Module 2: Statistical Analysis & Decision Making - Core Application
- Learners will evaluate practical vs. statistical significance and make rollout decisions. That optimize both business value and resource allocation.
Taught by
Hurix Digital