Data Visualization for Data Analysis and Analytics

What will i learn?

• Describe the importance of audience and story in designing visual presentations.
Identify Gestalt principles for visual processing
Compare and contrast headline styles.
List general rules for the use of different chart types, colors, axes, and other formatting details.
Understand the importance of and scientific basis for guiding principles in presentation design.

Curriculum for this course

18 Lessons 01:38:12 Hours

Introduction

1 Lessons 00:01:30 Hours

Moving from analysis to visualization 00:01:30

Why

3 Lessons 00:15:08 Hours

Meeting today's critical communications challenges 00:04:36
Focus using the KWYs 00:03:22
Understanding visual perception 00:07:10

Visual Communication In 12 Easy Lessons

11 Lessons 00:56:57 Hours

Using the right data 00:04:21
The power of story 00:05:20
Headlines bring focus 00:04:48
Exploring chart options 00:06:11
Simple tips and tools for using color in data visualization 00:06:10
Tips for axes, labeling, and legends 00:03:49
Setting scales in data visualization 00:09:06
Some thoughts about tools 00:05:03
Sketching and wireframing your data visualizations 00:05:20
What about leave behinds? 00:02:36
Picking the right chart 00:04:13

In Practice

3 Lessons 00:24:37 Hours

Rethinking text-based slides 00:04:40
Rethinking some charts 00:12:10
The power of simplification: Convincing your bosses 00:07:47

Requirements

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Description

Bill Shander, the founder of Beehive Media, focuses on the key challenges that 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 dashboards you work with every day.