Google Analytics for Beginners: Marketing Essentials

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Google Analytics for Beginners: Marketing Essentials

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Uses Google Analytics 4 to track and report e-commerce metrics for marketing insights

Original Description

This beginner-friendly guided project focuses on using Google Analytics 4 (GA4) to track and report on key e-commerce metrics. Learners will gain hands-on experience setting up GA4 for an e-commerce website, tracking important user actions like product views, add-to-cart events, and purchases, and creating custom reports that provide valuable insights into their online store's performance. Learners will also learn how to read and analyze conversion funnels, to understand where users drop out of the funnel, and how to compare different traffic sources, and performance across different devices. By the end of the course, learners will be equipped with the knowledge and skills needed to effectively monitor and enhance their e-commerce success with GA4. This course is aimed at learners who are looking to use GA4 to analyze user behaviour on an ecommerce store. Access to a GA4 property and basic knowledge of ecommerce metrics are required.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
From Data Ownership to an AI-Powered Second Brain
Learn how to leverage AI for data-driven decision making and create a second brain for your organization, enabling better insights and productivity
Medium · Data Science
📰
Verifying How IAM and Lake Formation Behave for the Glue REST Catalog and S3 Tables
Learn how IAM and Lake Formation interact with Glue REST Catalog and S3 tables, and how to verify their behavior for secure data management
Dev.to · Aki
📰
We Leaked PII in Staging: Here's the Automated Data Masking Pipeline That Saved Us
Learn how to build an automated data masking pipeline using Python to protect sensitive data in staging environments
Hackernoon
📰
Why Synthetic Healthcare Data Isn’t Enough for Commercial Analytics
Synthetic healthcare data has limitations for commercial analytics, and finding suitable synthetic commercial data is challenging
Medium · Data Science
Up next
6-Phase SQL Roadmap 2026 | Data Analytics & Engineering | #shorts
SCALER
Watch →