Data Visualization for Data Analysis and Analytics

Data Visualization for Data Analysis and Analytics
Data Visualization for Data Analysis and Analytics
English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 40m | 305 MB

As a data analyst, you probably already know how to build visualizations and use tools like Excel and Tableau. 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 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.

Topics include:

  • Identify a communications framework for breaking through information overload.
  • Explain why “story” is a critical element in any data visualization.
  • Support the value of headlines and providing clear focus to create data visualization with impact.
  • Exercise specific techniques for a variety of data visualization properties, including color, labeling, and scale.
  • Recognize three strategies for making effective text-based slides.
  • Remember three strategies for making effective charts.
Table of Contents

Introduction
1 Moving from analysis to visualization

Why
2 Meeting todays critical communications challenges
3 Focus using the KWYs
4 Understanding visual perception

Visual Communication in 12 Easy Lessons
5 Using the right data
6 The power of story
7 Headlines bring focus
8 Picking the right chart
9 Exploring chart options
10 Simple tips and tools for using color in data visualization
11 Tips for axes labeling and legends
12 Setting scales in data visualization
13 Some thoughts about tools
14 Sketching and wireframing your data visualizations
15 What about leave behinds

In Practice
16 Rethinking text-based slides
17 Rethinking some charts
18 The power of simplification Convincing your bosses

Conclusion
19 Next steps