Experimentation (A/B) Analyst

About This Course

An Experimentation Analyst in the software product/SaaS industry focuses on designing, executing, and analyzing experiments to improve product performance and user experience. This course equips learners with the skills to run A/B tests, define success metrics, and analyze results to make data-driven decisions. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to experimentation and product analytics platforms. The program emphasizes hypothesis testing, experimental design, and statistical analysis in product environments. Learners will understand how to measure impact, validate product changes, and optimize user journeys through continuous experimentation. By the end of the course, they are prepared for roles in experimentation and product analytics, with career progression into growth strategy, product management, and data science leadership positions.

Key Responsibilities

• Design and analyze A/B tests and experiments to evaluate product features and user experience changes
• Define hypotheses, success metrics, and experiment frameworks to drive data-driven decisions
• Monitor user behavior, conversion rates, and engagement metrics to measure experiment impact
• Develop dashboards and statistical reports to communicate experiment results and recommendations
• Collaborate with product, engineering, marketing, and design teams to optimize product performance and user growth

Growth Path

Tools Used

Perfect For

Computer Science and Engineering Graduates | Data Science and Analytics Professionals | Product Managers and Product Analysts | Software and SaaS Professionals | Growth and Marketing Analysts | Individuals Interested in Product Optimization and Experimentation

Fee Structure