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Practice

The Data Analysis Workflow

Data analytics 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 Use a Workflow?​

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:

  1. Ask a Question – What are we trying to learn or solve?
  2. Collect Data – Where can we get reliable data?
  3. Clean the Data – Fix inconsistencies, missing values, and errors
  4. Analyze the Data – Explore patterns and test hypotheses
  5. Visualize and Share – Turn findings into clear, impactful visuals

These stages form the core loop of real-world analytics.
In the next section, you’ll see this process mapped visually.

Want to learn more?

Join CodeFriends Plus membership or enroll in a course to start your journey.