The Data Analysis Workflow
Data analysis isn't just about numbers. It's about moving from raw input to useful insight.
To do that, analysts follow a structured process. This helps avoid messy guesswork and makes results easier to replicate and explain.
Why workflow matters
Without a clear process, it's easy to:
- Miss important issues in the data
- Draw incorrect conclusions
- Waste time fixing preventable mistakes
- Lose the trust of your team or client
A good workflow brings structure to your thinking and allows you to communicate your process clearly to others.
What You'll Learn
In this course, we'll guide you through each major step:
- Ask a Question: What are we trying to learn or solve?
- Collect Data: Where can we get reliable data?
- Clean the Data: Fix inconsistencies, missing values, and errors
- Analyze the Data: Explore patterns and test hypotheses
- Visualize and Share: Turn findings into clear, impactful visuals
These stages form the core loop of real-world analytics.