Data Analysis & Visualization

Introduction to the foundations of data visualizations



Background

Teaching

For nearly a decade, Jessica has worked as a graphic designer. Currently, she works at the Natural Resources Defense Council (NRDC), one of the nation's leading environmental advocacy organizations. For the past three years, she has partnered with scientists, advocates, and lawyers to illustrate their work to a wide audience through data storytelling, illustration, design, and animation. She is passionate about using data and art to create positive social and environmental impact.

She has her MPS in Data Analysis and Visualization from the Maryland Institute College of Art (MICA). Jessica uses her Data Analysis and Visualization expertise to rehumanize data by telling stories that help us understand the world and how we live in it. Her Capstone Project, a resource for friends and family of people with Opioid Use Disorder (OUD) was the winner. She freelances through Ana Handmade, a graphic design and illustration company.

She is an Assistant Professor of Data Analysis and Visualization at Queens College, CUNY in Queens, NY. Below are a list of classes along with links to the materials.



Class 01

Landscape of data visualization

Class 02

Chart selection, taxonomies, and critique


Class 03

Foundational principles for creating charts and style guides


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Class 04

 Understanding audience and context, User Experience

and Human Centered Design (UX/HCD) principles


Class 05

Inclusive design, accessibility, and user-centered design


Class 06

Survey data, data structures: tidy data and summary data, uncertainty, data quality, public understanding and ethics


Class 07

Interactivity and geographic or spatial data


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Class 08

Importance of design: cognition & perception, and letterforms


Class 09

Pattern perception and organizing text


Class 10

Building blocks of storytelling & structure of content


Class 11

Narrative structures and data visualization types


Class 12

Innovations in data visualization


Class 13

Elevating your data visualizations


Class 14

Final presentations


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