Free Download Google Analytics 4 Crash Course - 7 Rules Of Smart Analysts
Published 10/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 395.56 MB | Duration: 0h 48m
Improve your GA4 skills through real examples focused on segmentation, scepticism, bias, and data-driven thinking.

What you'll learn
How to avoid common analytical pitfalls when understand the data such as averages trap
How to interpret the data with context and healthy level of scepticism
How to use segments effectively
How to face the confirmation bias effect
Turning metrics into real business actions using the "So what?" principle
Think as an experienced Analyst
Requirements
Basic knowledge of Google Analytics 4 interface
The will to learn
Description
Learn how great analysts think and work with Google Analytics 4. In this short crash course, you'll discover 7 simple principles that will improve the way you read and use data.This crash course is made for everyone who wants to understand how experienced analysts think and work with Google Analytics 4. In one hour you will learn the key principles that separate senior analysts from beginners.We will go through seven simple but powerful rules. You will learn why averages can mislead you, why scepticism is healthy, and why context and segmentation matter more than single number. We will also talk about confirmation bias, asking the right questions, and the constant "so what?" mindset that turns plain data into real business insight.Each principle is explained with a practical GA4 example and a short real-life story so you can easily connect the ideas to your own work. The goal is not to memorize reports but to build a way of thinking that helps you make smarter, faster, and more confident data decisions.Even if you're already familiar with GA4, this course will help you see analytics differently. Clearly, structured, and focused on what drives results.Let's get started and make your GA4 skills work like those of a senior analyst.
For everyone who wants to be driven by properly understood data
Homepage
https://www.udemy.com/course/google-anal...-analysts/

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