Expanded

Implementing Data Visualizations

Charts allow any audience to understand a topic and quickly make decisions. This course will teach you how to use chart elements to your advantage while creating visualizations based on various types of data.
Course info
Level
Intermediate
Updated
Sep 4, 2020
Duration
2h 20m
Table of contents
Description
Course info
Level
Intermediate
Updated
Sep 4, 2020
Duration
2h 20m
Description

In today’s data-driven world, building a chart is extremely easy as there are a large number of tools at your disposal that require minimal technical knowledge. While this is an amazing opportunity, you need to make sure you convey the right message while not misleading the audience. In this course, Implementing Data Visualizations, you’ll learn how to efficiently encode data to redirect audience’s attention towards things that matter. First, you’ll explore all data types you may encounter. Next, you’ll discover how to create the right chart based on your data and context. Finally, you’ll learn how to combine visualization with text and how to color grade in order to highlight insights. When you’re finished with this course, you’ll have the data visualization skills and knowledge needed for communicating information in the clearest and most efficient way.

About the author
About the author

As a data analyst enthusiast, Mihaela has special interests in translating vision into action using end-to-end data analysis while being very passionate about teaching.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hello everyone. My name is Mihaela Danci, and welcome to my course, Implementing Data Visualizations. In today's data‑driven world, building a chart is extremely easy as there are a large number of tools at our disposal that require minimal technical knowledge. While this is an amazing opportunity, we need to make sure we convey the right message while not misleading the audience. This course is an essential guide for creating effective data visualizations. All the concepts we'll go through in this course can be applied using any data visualization software. Some of the major topics that we'll cover include selecting the right chart type for your data and context, exploring best practices and pitfalls for the most common chart types by comparing their strengths and weaknesses, identifying how typography and color can be used to reinforce our message and make charts more intuitive, discovering the science of how our brains perceive and remember information. By the end of this course, you'll know how to spot misleading charts and how to build graphs that convey messages in the clearest way possible. Before beginning this course, you should be familiar with data collection, data cleaning, and data visualization. I hope you'll join me on this journey to learn how to create powerful and compelling charts with the Implementing Data Visualization course, at Pluralsight.