Data Visualization: Best Practices

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.
Course info
Rating
(58)
Level
Beginner
Updated
May 8, 2019
Duration
54m
Table of contents
Description
Course info
Rating
(58)
Level
Beginner
Updated
May 8, 2019
Duration
54m
Description

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.

About the author
About the author

Curtis is currently the Head of Analytics Engineering at Pluralsight. Curtis also blogs at themarkscard.com and teaches data viz at the University of Utah.

Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Yeah. Hi, everyone. My name is Curtis Harris, and I'm the head of analytics Engineering. Here it plural, say, and welcome to my course data visualization. Best practices Date of is is becoming more relied upon in the workplace and is gaining popularity as a career choice. Join me as we tell important stories, walk through effective chart types and improve ineffective chart types. This course is a beginner level walkthrough of data visualization, and no prior experience with any date of his tool is required. Some of the major topics that we will cover include defining the term data visualization, making a global impact with data visualizations, choosing effective chart types and leveraging pre attentive attributes. By the end of this course, you'll know how to spot a good visualization and make some of your own. You'll also understand the importance of the field and why we should produce effective communications from here. Continue your learning by diving into data visualization with courses on tableau, Click Power bi I or d three. I hope you'll join me on this journey to learn Date of is with the data visualization Best practices course at portal site