Course Description
Data visualization is the art and science of presenting data in a clear, engaging, and meaningful way. It can help you communicate insights, tell stories, and persuade audiences. Organizations tasked with producing, releasing, and analyzing large amounts of data can more effectively understand and disseminate their work by better visualizing their data. Too often, organizations make visualizing their results an afterthought secondary to the analysis, which ultimately limits the effective relay of information.
But how do you design data visualizations for different audiences and contexts? In this course, you will learn the fundamental skills to create better, more effective graphs, charts, diagrams. You will learn how to attract and direct your user’s attention around the page, screen, or slide. To help you move beyond the standard line, bar, and pie chart, you will learn the broad range of data visualizations available to you. You will learn how to make your graphs clearer and easier to read. But with the practical, hands-on portion of the course, you’ll be able to create more than 30 different types of graphs and charts in Excel and Power BI.
Let us help you!
Built from a practical point of view, our expert trainers will showcase real-world examples and techniques that you can use right away. You’ll learn the steps, formulas, and tricks from world-class experts that will save you hours of time on a weekly basis. Let us help you get the data-cleaning out of the way, so that you can focus on the satisfying part of the job: providing the insights that you were actually hired to deliver.
This course starts at the beginning and is intended for people who analyze and communicate data, but who may have never thought deeply about the best ways to visualize and communicate those data. No coding skills, design skills, or data skills needed: the only requirement is an interest in better data communication.
Simply put, you won’t find a more comprehensive introductory data visualization course anywhere! Plus, everything you learn in applicable to both Excel and Power BI.
Who this course is for?
This course is for anyone interested in data communication and who wants to better understand the general design process regardless of their data analysis or software skills, including:
- People working with and analyzing data including analysts, researchers, data scientists, and data engineers who are interested in improving how they communicate their work.
- Communication designers and other creatives looking to expand their communication design skillset.
Not sure if this course is right for you?
Visit our Learning Journey page to compare courses by skill level and area of specialization.
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The Art and Science of Data Visualization
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Course Update Log
Phase 1 of The Art and Science of Data Visualization released, including the following modules:
- Welcome to the Course
- Key Data Visualization Questions
- Rules of Perception
- Expand Your Graphic Literacy
- Best Practiced for Data Visualization
- Specific Chart Types
- Data Visualization Design
- Bringing it All Together
- How to Build Visuals – Basic Charts
- How to Build Visuals – Change Over Time
- How to Build Visuals – Relationships
- How to Build Visuals – Maps
- How to Build Visuals – Category Comparisons
- How to Build Visuals – Distributions
- How to Build Visuals – Part to Whole
Phase 2 released, which expands upon the practical examples in the “How to Build” modules that were released in Phase 1. Each lesson’s video now contains three chapters:
- Chapter 1 contains Jon’s original video, showing you how to build a particular visual using a static slice of data in traditional Excel.
- Chapter 2 turns the focus to plotting dynamic data from Excel Power Pivot. Ken Puls recreates the same charts as Jon (for the most part), and looks at the nuances that come with sliceable data.
- Chapter 3 covers how to build the same types of visuals using Power BI. Matt Allington does this using the dynamic data from Chapter 2, and highlights some of the differences of Power BI over Excel.
In addition, we’ve added 2 new modules to the beginning of the “How to Build” section:
- How to Build Visuals
- Extracting Data from the Excel Data Model