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Training D3.js 2026 - Creating Advanced Interactive Data Visualizations

Ref: UMG175
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master D3.js 2026 to develop professional interactive data visualizations
  • Design dynamic dashboards tailored to business needs in a corporate environment
  • Optimize data visualization performance with the latest D3.js developments
  • Implement smooth animations and transitions to engage users
  • Integrate D3.js into certified web projects, boosting your data skills
  • Deploy scalable visualizations for large datasets in a professional context

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1D3.js Foundations: Selections, Data, and Bindings (JavaScript, SVG, Real Datasets)

Discover advanced D3.js 2026 selections to efficiently manipulate the DOM, integrate JSON or CSV data via dynamic bindings, create your first charts with SVG, chain practical exercises on real cases like quarterly sales visualization, produce an interactive deliverable ready to integrate into a professional web page.

Module 2D3.js Scales and Axes: Custom Scales and Structured Charts (D3 scales, axes, bar charts)

Dive into D3.js scales to transform raw data into precise visual coordinates, configure automated axes with ticks and labels, build responsive bar charts and line charts, apply exercises on real business datasets like financial KPIs, generate exportable charts in PNG/SVG for company reports.

Module 3D3.js Interactive Inputs: Events, Zooms, and Tooltips (mouse events, zoom behavior, d3-tip)

Activate user interactions with D3.js 2026 events like hover and click, implement smooth zooms and pans on large maps, integrate dynamic tooltips for immediate insights, test on real-time monitoring dashboards, create an interactive prototype deliverable with cross-group feedback for rapid skill-building.

Module 4D3.js Animations and Layouts: Transitions and Hierarchies (d3-transition, force layouts, tree maps)

Master D3.js transitions for smooth and engaging animations, explore layouts like force-directed graphs and treemaps for complex data, apply to real cases such as social networks or company organigrams, optimize performance with requestAnimationFrame, produce an animated dashboard ready for client presentation.

Module 5Advanced D3.js Projects: Integration and Deployment (Modularity, React+D3, Vercel Deployment)

Assemble a complete D3.js 2026 dashboard with modularity and reusable patterns, integrate with React for scalable apps, deploy on Vercel or Netlify with CI/CD, review via a capstone project on real company data, assess acquired skills and receive a Qualiopi certificate to valorize your professional data visualization expertise.

Evaluation method

  • Daily interactive quizzes on D3.js to validate theoretical knowledge
  • Practical projects evaluated in pairs with personalized feedback
  • Final exam on a complete dashboard, graded on professional criteria

Learning method

  • 70% hands-on approach with exercises on real datasets
  • 30% targeted theory on D3.js 2026 new features and best practices
  • Small group work for exchanges and resolution of real cases
  • Video support and post-training resources to sustain skills

Methods, materials and delivery

The Training D3.js 2026 - Creating Advanced Interactive Data Visualizations program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training D3.js 2026 - Creating Advanced Interactive Data Visualizations program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training D3.js 2026 - Creating Advanced Interactive Data Visualizations program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

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TomFormation AWS — Cloud Practitioner
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

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AmbreDWWM - Développement Web & Mobile React
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« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
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« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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