Data Visualization for Everyone

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5

(3)

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Course Features

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Duration

2 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

2 hours

Course Description

Diagrams, graphs, and maps can be powerful tools for communicating complex data. This course will help you choose the best visualization for your data. It will also teach you how interpret common plot types like scatter plots and line plots. Avoid common pitfalls and learn how to correctly use colors and shapes in your plots. Visually explore over 20 datasets including Los Angeles home prices and global life expectancies. You will also be able to listen to some of the most famous hip-hop songs.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

An introduction to data visualization with no coding involved

In this course, you’ll learn how to choose the best visualization for your dataset, and how to interpret common plot types like histograms, scatter plots, line plots and bar plots

You'll also learn about best practices for using colors and shapes in your plots, and how to avoid common pitfalls

Through hands-on exercises, you'll visually explore over 20 datasets including global life expectancies, Los Angeles home prices, ESPN's 100 most famous athletes, and the greatest hip-hop songs of all time

Course Instructors

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Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R package...

Course Reviews

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