Google Analytics 4: Smart Rules for Beginners and Analysts

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Google Analytics 4: Smart Rules for Beginners and Analysts

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·1mo ago

Key Takeaways

Covers the basics of Google Analytics 4, including smart rules for beginners and analysts to make data-driven decisions

Original Description

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll dive into the powerful features of Google Analytics 4 (GA4) and learn how to leverage its capabilities to make smarter data-driven decisions. Whether you're a beginner or an analyst, you'll gain the essential skills to set up and navigate GA4, install tracking codes, and understand key metrics for your website or app. By mastering GA4, you'll be equipped to analyze, interpret, and utilize digital data more effectively. Throughout the course, you will explore how GA4 tracks and reports data, beginning with the fundamentals of measurement, followed by the configuration of accounts, data streams, and the GA4 interface. As you progress, you'll learn how to interpret engagement data, analyze acquisition reports, and set up event tracking. The course also covers advanced topics like segmentation, dimensions, and the importance of context in data analysis, offering a holistic view of how to apply these insights to real-world business decisions. This course is designed for beginners and analysts looking to get hands-on with Google Analytics 4. By the end of this course, you will have developed a thorough understanding of GA4's core features, how to customize reports, and how to implement smart rules for effective data analysis. No prior experience with Google Analytics is required, and we recommend a basic understanding of web analytics. By the end of the course, you will be able to create Google Analytics accounts, set up data streams, install tracking codes, analyze key metrics and reports, segment users, and apply critical thinking to data interpretation.
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