
Discover the captivating world of data visualization with Florent Lavergne, a skilled digital illustrator renowned for his expertise in the field of data visualization, or dataviz. In this online course, you'll delve into the art of creating elegant and impactful dataviz projects using Photoshop.
Throughout his career, Florent has worked on significant projects like Plastic Pollution and Plants in Danger, shedding light on environmental science—an area close to his heart. His graphics tackle challenging subjects by skillfully contrasting the sometimes harsh data with the delicacy of natural shapes and textures.
In this inspiring course, Florent will guide you through the process of developing a complete dataviz project from start to finish. You'll explore the history of graphical information representation, dive into visualization processes, and get acquainted with the essential tools in Photoshop.
25 lessons & 41 downloads

11 minutes, 21 seconds

10 minutes, 37 seconds

9 minutes, 25 seconds

9 minutes, 9 seconds

13 minutes, 58 seconds

17 minutes, 26 seconds
To start, you'll learn the fundamentals of Photoshop and explore creative brush techniques that will breathe life into your dataviz creations. Florent will inspire you to find references from the world around you, igniting your creativity.
Afterward, you'll delve into the fascinating realm of materials and textures. From plastic to wood, metal to stones, crystals to liquids, you'll master the art of interpreting and recreating them in your digital illustrations, adding depth and realism to your work.
Next, it's time to dive into Photoshop's more complex tools, which will allow you to digitally reproduce your sketches with precision and finesse. You'll discover how to organize and texture your elements, refining every detail to perfection.
In the final stages, Florent will show you how to structure and publish your dataviz project online, empowering you to develop your graphic identity and create art that communicates impactful messages with a distinctive aesthetic.
Throughout the course, you'll be challenged to create an elegant and original data visualization centered around the theme of extinct plant species. This exciting final project will showcase your newfound skills in interpreting data and rendering captivating visual representations.

This course is tailored for individuals passionate about art, creativity, and data science. Whether you're a budding artist or an experienced designer, if you're interested in combining art and science to convey information with style and impact, this course is for you.
To embark on this creative journey, you'll need basic knowledge of Photoshop and access to a digital tablet. A dash of curiosity and inspiration will be your best companions as you explore and recreate various textures and materials in your digital illustrations.

Great course, taking us through each step and sources of inspiration.
Imperdible curso!
C'est un super cours inspirant ! L'artiste vous guide pas à pas et explique très concrètement son propos. Un réel plaisir
I love the structure of the course
I love this course!

Introduction
Introduction à la dataviz
L’organisation des données
La stylisation du visuel
Et maintenant ?
Final project
Enjoy learning from home without a set schedule and with an easy-to-follow method. You set your own pace.
Learn valuable methods and techniques explained by top experts in the creative sector.
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This course is designed for those who already have some experience with Photoshop or data visualization. It’s not strictly for beginners but remains accessible to anyone eager to deepen their creative dataviz skills.
You’ll need a computer with Photoshop installed, an internet connection, datasets to work with, and a strong motivation to explore scientific and creative infographics.
You’ll learn how to analyze and structure data, create visually appealing infographics in Photoshop, apply textures, organize layers, choose color schemes, and publish your projects online.
By the end, you’ll be able to design posters, scientific infographics, or data art, organize datasets, manage complex Photoshop projects, and produce visually striking dataviz.
Yes, the course guides you through creating moodboards, analyzing inspirations, and developing a personal graphic style for your dataviz projects.
You’ll work with both quantitative and qualitative data (like biodiversity, extinction, natural phenomena, open data) and learn how to represent them effectively in graphics.
Yes, you’ll learn how to structure, finalize, and export your work for professional web publishing or conference posters.