Advanced Optimization & Experimental Design
Skills:
Data Literacy80%
Key Takeaways
Optimizes marketing performance using experimentation, forecasting, and advanced analytics workflows with GA4 insights
Original Description
Move beyond reporting and learn how to optimize marketing performance using experimentation, forecasting, and advanced analytics workflows. In this course, you’ll design A/B tests, evaluate statistical significance, create forecasting models, and use GA4 insights to improve campaign execution and measurement quality.
You’ll learn how to structure meaningful A/B tests with clear hypotheses, success metrics, sample-size planning, and evaluation criteria. You’ll also create forecasting models that project future campaign performance and budget requirements using historical marketing data and trend analysis.
In addition, you’ll analyze GA4 implementations to identify tracking gaps, troubleshoot instrumentation issues, and improve campaign attribution accuracy. Throughout the course, you’ll use optimization frameworks to recommend tactical and strategic marketing improvements across multiple channels.
By the end of the course, you’ll be able to execute data-driven optimization strategies that combine experimentation, forecasting, and analytics into actionable marketing recommendations.
Watch on External: Coursera ↗
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