{"id":7766,"date":"2021-09-22T09:00:00","date_gmt":"2021-09-22T13:00:00","guid":{"rendered":"https:\/\/dvsnightingstg.wpenginepowered.com\/?p=7766"},"modified":"2021-09-21T08:41:40","modified_gmt":"2021-09-21T12:41:40","slug":"review-data-visualization-and-information-design-create-a-visual-model-a-domestika-course-by-federica-fragapane","status":"publish","type":"post","link":"https:\/\/nightingaledvs.com\/review-data-visualization-and-information-design-create-a-visual-model-a-domestika-course-by-federica-fragapane\/","title":{"rendered":"REVIEW: “Data Visualization and Information Design: Create a Visual Model,” a Domestika course by Federica Fragapane"},"content":{"rendered":"\n

If you are reading Nightingale<\/em>, there is a chance you have just discovered the world of data visualization and information design. If that is the case, \u201cData Visualization and Information Design: Create a Visual Model\u201d, a Domestika course by Federica Fragapane could be a perfect course for you. This course might also be a good one if you, like me, keep reading and watching tutorials without actually starting (or finishing) a dataviz project.<\/p>\n\n\n\n

Federica Fragapane<\/a> is a well-known Italian information designer who recently launched an introductory course on the process of creating a data visualization project from start to finish. The course<\/a> is available on Domestika, a learning platform and community for creatives, and includes 17 lessons distributed across four modules: <\/p>\n\n\n\n

  1. Introduction<\/li>
  2. About data visualization<\/li>
  3. Setting the project in motion<\/li>
  4. Visualizing the data<\/li><\/ol>\n\n\n\n

    The aim of the course is to help you create your own project: a data visualization piece that integrates multiple layers of information.<\/p>\n\n\n\n

    In order to do that, the course starts by explaining what data visualization is, how different fields<\/a> can inspire projects, and the importance of collaboration. This was eye-opening for me; when I started my dataviz journey, I thought that I had to learn everything<\/em>, which seemed quite daunting. It was refreshing to hear that Federica focuses on static dataviz, illustration, and design but usually works with someone else if she needs an interactive piece that requires coding.<\/p>\n\n\n\n

    In the course, Federica also introduces the concept of visual alphabets and explains how to discover your own style, as well as the importance of designing with your readers and\/or users in mind. These are common refrains from dataviz professionals; however, it was helpful to see these tips applied to Federica\u2019s own projects. It helped me to put these ideas in context and start making my own connections to my previous work and readings.<\/p>\n\n\n\n

    After completing the two initial modules, the fun began. I opted to follow exactly what Federica was doing instead of choosing my own datasets to avoid procrastination. (Maybe you are like me and get a tad overexcited with research.) In any case, numerous examples and additional resources are provided, so everyone is encouraged to choose whatever they\u2019re more comfortable with.<\/p>\n\n\n\n

    In the two final modules, the course takes you through all the steps required to deliver a dataviz project:<\/p>\n\n\n\n