
Nicole Lachenmeier and Darjan Hil, accomplished graphic designers known for their unique approach to information design, will guide you through the art of translating complex data into visually engaging and comprehensible forms, such as posters.
With a portfolio adorned with awards like the Arch+ and Bauhaus competition, the German Press Agency Award, and the Kantar Information Is Beautiful Award, Nicole and Darjan will be your mentors in the realm of data visualization, a vital skill in today's information-driven world.
Discover the power of "data experience" through Nicole's expertise, known for her highly graphic, geometric, and colorful style. Learn how to make information not only informative but also aesthetically pleasing, structured, and accessible.
Then, Darjan, the analytical thinker, will teach you the art of dissecting and refining every chart, emphasizing the importance of innovative diagrams and different perspectives in abstraction.
16 lessons & 21 downloads

12 minutes, 42 seconds

12 minutes, 51 seconds

17 minutes, 52 seconds

8 minutes, 46 seconds

11 minutes, 8 seconds

5 minutes, 21 seconds
To start, the teachers will underscore the significance of information visualization and introduce you to modular information design, setting the stage for your learning journey.
Next, you'll roll up your sleeves and collect data for your project, learning how to collate and extract compelling stories from it. Dive into initial sketches and explore different dimensions and arrangement options to create visually striking posters.
Finally, you'll build your poster from the ground up, adding basic elements, legends, and scales. The course will conclude by teaching you how to ensure your visualization is clear and how to leverage it for various purposes.
You'll create a visually stunning and informative poster. The project will challenge you to apply the skills you've learned in a practical context, translating data into a compelling visual format. By the end, you'll have a captivating poster that tells a story with data.
This course is ideal for anyone intrigued by the art of data visualization. Whether you're a beginner or a seasoned designer, Nicole and Darjan will equip you with the tools and techniques to excel in this creative field.
You'll need basic knowledge of Adobe Illustrator or a similar program. Additionally, access to Microsoft Excel will be beneficial. Gather your creative spirit, and let's explore the fascinating world of data visualization together.
Excelente explicación. Son los mejores
I was expecting something more, actually. There are some promising ideas, but few practical solutions.
Buen cueso, un enfoque diferente de lo tradicional. Excelente!
very interesting and helpful course
Hola. me ha gustado la vocacion que tienen ambos instructores. Tienen sus mentes en la ceracion de garficos y les han quedado muy bien. Yo con el tiempo voy a prender.
Si lo recomiendo el curso

Introduction
Working with data
Start visualizing
Design the poster
Final project
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In this course, you'll learn how to visualize complex data using creative methods, choose and design chart types, research data sources, work with tabular data, and create professional visualizations for print and web.
The course is aimed at participants with basic design or data processing knowledge and is geared toward advanced beginners to intermediate learners.
You'll need Microsoft Excel for data preparation and Adobe Illustrator for graphic design. Basic familiarity with these programs is helpful.
After completing the course, you'll be able to research, prepare, and visualize data, creating professional infographics and interactive visuals. You'll also know creative methods and current tools for data visualization.
You'll learn how to analyze, interpret, and effectively visualize SDG data to clearly and engagingly communicate social issues.
You'll discover how to clean, structure, filter, sort data in Excel, and use pivot tables and chart tools to prepare data optimally for visualization projects.
The course will show you how to develop innovative chart types, use typography and limited color palettes, and apply geometric patterns to represent complex data.