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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise de la visualisation de données interactive avec D3.js, 70% des dashboards restent statiques et inefficaces, limitant l'engagement des utilisateurs et la prise de décision rapide.
Les entreprises subissent des pertes moyennes de 40 000 € par an dues à des erreurs d'interprétation, avec 60% des incidents analytiques liés à des visualisations web mal interactives.
Votre carrière stagne face à des concurrents agiles, tandis que votre organisation risque une érosion de 25% de sa compétitivité data-driven.
Chaque mois sans ces compétences avancées gaspille 20 heures par analyste en correctifs inutiles, amplifiant les risques business.
The Maîtriser la Visualisation de Données Interactive avec D3.js training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Maîtriser la Visualisation de Données Interactive avec D3.js training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Maîtriser la Visualisation de Données Interactive avec D3.js training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Historique et concept de D3.js, installation et environnement, cycle de vie d’une visualisation, sélection et manipulation des DOM, liens avec HTML/CSS. Premiers graphiques simples (barres, lignes, cercles). Initiation à l’approche data-driven.
Chargement de données via CSV/JSON/TSV, parsing, formatage et agrégation. Création de chart types standards (bar chart, line chart, scatter plot, pie chart). Mise en place des axes, légendes, échelles et palettes de couleurs. Exercices pratiques et analyse critique de visualisations réelles.
Transitions, animations, gestion des événements utilisateur (hover, click, drag & drop), filtres dynamiques et dashboards. Visualisations avancées : heatmaps, tree maps, network graphs, choropleth maps. Export, optimisation, bonnes pratiques UX/UI, publication et intégration dans diverses architectures web (React, frameworks front modernes).
Target audience
Développeurs, data analysts et professionnels de la donnée souhaitant créer des visualisations web interactives
Prerequisites
Maîtrise de JavaScript, notions de base en HTML/CSS, bases en manipulation de données JSON/CSV
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