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[G] Free Guide
Data Analytics for Beginners
Data analytics is not a tool. It is a thinking framework. This guide builds the framework.
Most data analytics guides teach you how to use a specific platform. This one teaches you how to think analytically about your business — what questions to ask, what data is needed to answer them, and how to turn a data observation into a decision. The platforms change. The thinking framework does not.
What this guide covers
Defining the Right Questions
Start with the business decision, not the data — how to frame analytical questions that produce actionable answers
Understanding Data Quality
Identify when data can be trusted and when it cannot
Reading Metrics Correctly
The difference between correlation and causation, leading and lagging indicators, absolute vs relative changes
Attribution Fundamentals
How marketing attribution works, why it is always incomplete, and how to make better decisions despite that
Building a Measurement Plan
Document what your business needs to measure, why, and how
Presenting Data to Stakeholders
How to communicate data findings in a way that leads to decisions rather than debate
Knowledge is free. Strategy is where we come in.
If working through this guide reveals gaps you are not sure how to address, a strategy session maps exactly what needs to be fixed and in what order.