Data Visualization: Best Practices

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Curtis Harris

54:34

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01 - Course Overview

01 - Course Overview.mp4

01:27

02 - The What and Why of Data Visualization

02 - Overview and Introduction.mp4

01:10

03 - Data Visualization Defined.mp4

02:40

04 - Data.mp4

01:46

05 - Representations of Data.mp4

01:28

06 - Presentations of Data.mp4

01:39

07 - Understanding.mp4

01:14

08 - Why Visualize Data.mp4

03:16

09 - Making an Impact.mp4

02:33

10 - The Importance Of Context.mp4

04:35

11 - Wrap Up.mp4

00:28

03 - Data Visualization Concepts and Practices

12 - Overview and Introduction.mp4

01:11

13 - Simple Text.mp4

02:02

14 - Text Tables.mp4

03:56

15 - Bar Charts.mp4

03:10

16 - Intermediate Bar Charts.mp4

10:45

17 - Line Charts.mp4

03:11

18 - Scatter Plots.mp4

01:14

19 - Waffle Charts.mp4

02:00

20 - Pie Charts.mp4

01:23

21 - Pre-attentive Attributes.mp4

02:57

22 - Wrap Up.mp4

00:29

Description

Data visualization is becoming more commonplace every day. In this course, you will learn why data visualization is on the rise; why you should care about data visualization; and learn strategies to be an effective data visualization designer.

What You'll Learn?

As data visualization rises in popularity across companies worldwide, so do poor data visualization practices. In this course, Data Visualization: Best Practices, you will gain the ability to build visually-pleasing charts that effectively communicate your message. First, you will learn the basic concept of data visualization, why the field is growing, and how data viz can make an impact. Next, you will discover a variety of effective chart types and learn the design practices that make them effective. Finally, you will explore how to leverage preattentive attributes in your visualizations in order to enable easy data interpretation. When you are finished with this course, you will have the skills and knowledge of data visualization needed to build visually-appealing, impactful, and effective charts in any data visualization software.

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Data Science

Data Visualization

Curtis Harris

Instructor's Courses

Curtis joined Pluralsight in 2017 as an Analytics Engineer and is currently the Head of Analytics Engineering. Curtis has spent most of his professional career mastering data visualization concepts and applications. He is a former Tableau Iron Viz champion and a Tableau Public Ambassador. Curtis blogs at themarkscard.com and teaches data viz at the University of Utah.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.