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Getting Started

Welcome to the Getting Started module.

This module introduces the tools and workflow you will use throughout the Data Visualization Guide. It is designed for beginners, so no prior programming experience is required.

In this course, we will use Google Colab as our primary programming environment. Google Colab allows you to write and run Python code directly in your browser, so you can begin learning without installing any software.

Story Time​

You are beginning your journey into data analysis.

At this stage, you do not need to know how to build visualizations or analyze complex datasets yet. You only need a place to begin. Like many students starting for the first time, you may have heard that Python is important, but you may not yet know where to write code, how to run it, or which tools you actually need.

This module gives you that starting point. You will learn why Python is widely used, why Google Colab is the recommended environment for this guide, and how the learning process in this course is structured. By the end of this module, you will be ready to write your first lines of code with confidence.

What You Will Learn​

By the end of this module, you will be able to:

  • Explain why Python is widely used in data analysis and data visualization.
  • Understand why Google Colab is the recommended environment for this guide.
  • Write and run your first Python program.
  • Recognize the workflow used throughout the course.

Why This Module Matters​

Every meaningful learning journey starts with a strong foundation.

Before you begin working with datasets or creating charts, you need to understand the tools that will support your learning. This module helps you set up that foundation so that the rest of the course feels approachable, organized, and practical.

Estimated Time​

Approximately 20–30 minutes.

Before You Continue​

After completing this module, you will be ready to begin the Python Essentials module, where you will start learning the programming concepts that support data analysis work.

In the next stage of the journey, you will move from setting up your environment to writing and understanding Python code.