Learning Path - Data Visualization

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Learning Path - Data Visualization

O'Reilly - Learning Path - Data Visualization [115 MP4, 2 ZIP]
English | Size: 3.75 GB
Category: Tutorial


Successful data visualizations allow you to impart meaning and emphasis to your data points. This Learning Path will teach you how to display trends, patterns, and outliers while you discover the power of letting your data to speak. Once you've finished, you'll be able to efficiently communicate volumes of data with ease.
1.An Introduction to d3.js: From Scattered to ScatterDescription ( 2 hours 52 minutes): This segment of your Learning Path will have you transforming data into visual images in no time, starting from scratch and building an interactive scatterDescription by the end of the course. Learn to use d3.js, the web's most powerful library for data visualization, to load data and translate values into SVG elements.

2.Learning to Visualize Data with D3.js( 3 hours 52 minutes): Add to your D3 skills as you build data visualizations with the D3 javascript library. You'll start by learning how to bind data from javascript arrays to elements, scale data, and style simple data visualizations with CSS. From there, you'll learn how to add interactivity to your data visualization to make it even more powerful.

3.Using Storytelling to Effectively Communicate Data(1 hour 30 minutes): Learn how to use stories to introduce complex graphics in ways that entice and engage your audience. You'll discover how storytelling can ensure clarity, humanize content, and allow you to present complex information using data visualization.

4.Effective Data Visualization(2 hours 52 minutes): In this course, you'll acquire best practices for designing interactive visualizations, performing exploratory data analysis, and examining multidimensional data. You'll start with an exploration of design principles drawn from graphic design, visual art, perceptual psychology, and cognitive science. You'll also learn techniques for scaling visualizations to extremely large data sets.

5.Intermediate D3.js(3 hours 38 minutes): Expand your D3.js expertise as you learn how to work with charts, data layouts, and maps through several code examples. You'll see how easily you can create beautiful, interactive, browser-based data visualizations with the D3 javascript library. Discover the power of D3.js for interactive maps, charts, and more.

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