Lynda - Data Visualization for Data Analysts with Bill Shander

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Added on April 10, 2015 by jeaneucpa2in Other > Tutorials
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Lynda - Data Visualization for Data Analysts with Bill Shander (Size: 279.33 MB)

		001 Welcome.mp4	7.63 MB
		002 Meeting today`s critical communications challenges.mp4	21.53 MB
		003 Visual perception.mp4	22.06 MB
		004 Story.mp4	13.39 MB
		005 Headlines.mp4	11.8 MB
		006 Color.mp4	23.83 MB
		007 Axes, labeling, and legends.mp4	10.94 MB
		008 Scale.mp4	17.33 MB
		009 The right data.mp4	11.27 MB
		010 Picking the right chart.mp4	10.06 MB
		011 Exploring chart options.mp4	14.26 MB
		012 Tools.mp4	26.4 MB
		013 Sketching and wireframing.mp4	11.05 MB
		014 Simplification - KWYRWTS.mp4	4.31 MB
		015 What about leave-behinds, smart guy.mp4	6.13 MB
		016 Rethinking text-based slides.mp4	11.25 MB
		017 Rethinking some charts.mp4	26.07 MB
		018 The power of simplification - Convincing your bosses.mp4	25.26 MB
		019 Next steps.mp4	4.77 MB

Description

Lynda - Data Visualization for Data Analysts
Duration: 1h 31m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 48KHz 2chGenre: eLearning | Level: Beginner | Language: English

As a data analyst, you probably already know how to build visualizations and use tools like Excel and Illustrator. This course challenges you to go beyond the data, beyond the software, and start thinking more clearly and strategically about the foundations of great communication design. Bill Shander, founder of Beehive Media, focuses on the key challenges analysts face trying to communicate complex information, and how visual communication can help. He breaks down ten key components of great data visualizations—built in any program—and shows innovative ways of rethinking the slides, charts, diagrams, and templates you work with every day.

Topics include:

Why visual communications matter, and how they work
Communicating via story
Communicating with color
Using legends and sources
Sketching and wireframing
Rethinking slides, charts, and diagrams
Rethinking your templates and brand guidelines

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Lynda - Data Visualization for Data Analysts with Bill Shander