Visual Analytics Fundamentals | Livelessons

Visual Analytics Fundamentals | Livelessons
English | Size: 760.59 MB
Genre: eLearning

Nearly 4 Hours of Video Instruction

A Visual Introduction to Visual Analytics


Visual Analytics Fundamentals LiveLessons is a practical, hands-on guide to learning the basics of visual analytics. After you finish the videos you will be able to start building compelling visual data narratives using Tableau 2022.

About the Instructor:

Lindy Ryan is passionate about telling stories with data. She specializes in translating raw data into insightful stories through carefully curated visuals and engaging narrative frameworks. Lindy teaches courses in visual analytics, data visualization, and product design in the Professional Science Master’s program at Rutgers, the State University of New Jersey. She also supports Western State Connecticut’s MFA writing program as guest faculty to mentor aspiring writers working in their second genre. Lindy previously taught in the Montclair State University (MSU) Business Analytics program, where she received the MSU Professing Excellence Award, which recognizes professors’ teaching excellence, particularly those who inspire and motivate students. She has been a Tableau user since 2012. Lindy is the author of The Visual Imperative: Creating a Culture of Visual Discovery (Elsevier Morgan Kaufmann, 2016) and Visual Data Storytelling with Tableau (Pearson Addison-Wesley, 2018), as well as numerous papers, book chapters, and conference presentations worldwide.

Skill Level:


Learn How To:

Navigate the Tableau interface
Understand the role of context in visual analytic storytelling
Decide which type of basic chart to use with type of data
Use maps to represent data
Make good design decisions regarding color, lines, and shapes
Prepare your data and storyboard your visualization
Use advanced visualization formats

Who Should Take This Course:

Analysts who need to share the results of their data discovery or analysis
Students communicating data for reports or presentations
Teachers helping learners (of any age) to cultivate visual data literacy
Executives and business managers reporting data-driven results or metrics
Journalists giving data the starring role in their editorials

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