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Analyzing Data Visualization Requirements

by Chris Achard

Being able to create visualizations is a powerful skill that you can learn.  This course teaches you how to analyze your dataset and requirements, and how to adjust your visualization to create the most impactful visualization possible.

What you'll learn

At the core of creating meaningful data visualizations is a thorough knowledge of understanding your data and your visualization requirements. In this course, Analyzing Data Visualization Requirements, you’ll learn how to prepare to build data visualizations. First, you’ll learn how to distinguish different types of data. Next, you’ll discover how to use visualizations to explore a dataset, or explain a point. Finally, you’ll examine how to adapt a visualization for a specific audience and medium. When you’re finished with this course, you’ll have a foundational knowledge of data visualizations that will help you as you move forward to create visualizations for your own datasets.

Table of contents

Course Overview

About the author

Chris is an independent software consultant focused on web, mobile, and machine learning. He primarily uses React.js with Node.js or Ruby on Rails for web applications, React Native for mobile applications, and Python for machine learning and data science. He's written an ebook about React, and is excited about teaching software development to others. Recently, he's been experimenting with generative AI models and other advanced AI techniques.

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