Management
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Designing Data Visualizations

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Course Features

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Duration

156 minutes

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

156 minutes

Course Description

The Data Visualization Designer is a sought-after career in the tech industry, as organizations worldwide grapple with the abundance of "Big Data." This course, titled Designing Data Visualizations, aims to equip individuals with the skills to transform raw data into impactful visuals that tell compelling stories. Participants will be trained in basic data analysis techniques to create enhanced data and select the appropriate visualization methods to convey meaningful insights. The course emphasizes the importance of recognizing signals within the data and leveraging common sense and contextual knowledge for effective visualizations. Participants will also learn how to identify signals using techniques like conditional formatting and data joins, while steering clear of the "Four Deadly Sins of Data Visualization." The course further delves into determining which visualizations best suit specific datasets and teaches participants how to analyze data and understand their audience's needs and interests in order to create effective visualizations. Overall, this course offers a comprehensive education on data analysis and visualization, providing valuable insights into the tools and techniques necessary for successful data visualization in the context of big data analysis.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

You'll learn how to use your creativity and intuition to find the insights in datasets, as well as basic data-analysis techniques, to create “enriched” data and choose the correct visual to communicate real meaning

First, you’ll see how to spot “signals” in the data – it turns out that human common sense and knowledge of context are not only still relevant, but absolutely crucial

Then, you’ll learn techniques like pivot tables, conditional formatting, and data joins and merges to generate clear insights, while avoiding the “Four Deadly Sins of Data Visualization

” Finally, you’ll explore what kinds of visualizations match up best with what the data is telling you

When you’re finished with this course, you'll understand how to look inside the data, pull out what your audience needs and is most interested in, and use that to design data visualizations that stick

Course Instructors

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David LaFontaine

Instructor

David LaFontaine is an author, journalist, digital media consultant, and adjunct professor at the University of Southern California. David specializes in content strategy, user interface design (UX &...
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