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Online course - Analog Data Visualization for Storytelling (Stefanie Posavec)

Online course - Analog Data Visualization for Storytelling (Stefanie Posavec)

Analog Data Visualization for Storytelling
Designer, Artist, and Author. London, United Kingdom.
Joined October 2021
, Designer, Artist, and Author
Explore the narrative potential of data and learn to create engaging imagery that tells a story using analog materials
1 student
Designer, Artist, and Author. London, United Kingdom.
Joined October 2021
$19.99USD 67% Disc. $59.99 USD
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Available from October 21, 2022
1 student
33 additional resources (16 files)
Online and at your own pace
Available on the app
Spanish, English, Portuguese, German, French, Italian, Polish, Dutch
Level: Beginner
Google Sheets
“People are often surprised by the narrative potential of data visualization– its ability to speak without the need for words.”
Designer, artist, and author Stefanie Posavec specializes in turning data into engaging imagery that tells a story. She was Facebook’s first Data Artist in Residence and has collaborated with clients including V&A and National Maritime Museum.
In this online course, she teaches you how to visualize data for professional and personal settings. Discover new and creative ways to capture information using analog processes and materials. You don’t need words to tell your story. You just need the right data.
What will you learn in this online course?
Course table of contents
U2. The Basics of Data Visualization
U3
U3. Collecting and Analysing Your Personal Data
U4
U4. Visualizing and Drawing Your Data
U5
View details
Begin the course by getting to know designer, artist, and author Stefanie Posavec. Discover how she went from a career in publishing to creating award-winning data visualization projects, along with the influences that inspire her.
Get an introduction to data visualization and explore basic design principles.Then look at the materials needed for the course and how best to use them.
Decide on the story you want to tell about yourself, then collect the raw data needed to tell it. Categorize and analyze your data with Stefanie as your guide, before choosing an editorial focus for your illustration.
Find inspiration for your project and define its underlying structure and visualization method. Then, it’s time to put pen to paper and start drawing! Next, create a drawing legend that makes your piece easy for others to interpret.
Hear tips for taking your data visualization work further. To wrap up the course, Stefanie shares her advice for learning more about the field and building your professional network.
What is this course's project?
Create an engaging data visualization that tells a personal story using basic drawing materials.
Who is this online course for?
This course is for anyone interested in learning how to showcase data in an engaging way through imagery.
Requirements and materials
No previous experience is required.
In terms of materials, you will need your preferred drawing tools and access to a device with Microsoft Excel or a similar program installed if you wish to organize your data digitally.
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Joined October 2021
Stefanie Posavec is a designer, artist, and author who specializes in data visualization. She studied graphic design at Colorado State University before going on to complete a master's in communication design at Central Saint Martin’s, University of the Arts London. There, for her final project Writing Without Words, she explored ways of visualizing writing styles in literature, which inspired her to pursue a career in book design. After her project went viral, she left her job in publishing to focus on freelance work in the data visualization field.
With over 10 years of experience, Stefanie has worked with clients like the V&A, Wellcome Collection, and National Maritime Museum. She was also Facebook’s first Data Artist in Residence and has received awards for her book project Dear Data. Postcards and sketchbooks from the project are also held in the permanent collection of MoMA, New York.
Content
Personal Storytelling with Data Visualisation Sketching/ Drawing
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