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Training Chart.js 2026 - Master Advanced Interactive Visualizations

Ref: DYX580
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master Chart.js 2026 to develop complex interactive visualizations in certified professional training.
  • Design dynamic dashboards optimized for the enterprise with expert dataviz skills.
  • Implement advanced animations and custom plugins in Chart.js 2026.
  • Optimize chart performance for large data volumes in a professional context.
  • Integrate Chart.js 2026 into modern stacks like React for enterprise-ready deliverables.
  • Develop skills in accessibility and SEO for visualizations for maximum business impact.
  • Deploy scalable certified dataviz solutions for data-driven teams.

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 1Advanced Fundamentals of Chart.js 2026: Expert Configurations and Customizations (Plugins, Themes)

Dive into the new features of Chart.js 2026 with expert configurations for hybrid graphs, explore advanced plugins like chartjs-chart-financial, complete practical exercises on massive datasets, create responsive themes adapted for mobile-first, analyze real-world cases from Fortune 500 companies, produce your first interactive prototypes with customized tooltips and logarithmic scales, while measuring performance via Lighthouse for immediate optimization.

Module 2Animations and Interactions in Chart.js 2026: Touch Gestures and Dynamic Events (Hover, Drill-Down)

Develop smooth animations with advanced easing in Chart.js 2026, integrate multitouch gestures for mobile dashboards, code drill-down events on nested graphs, test real-time interactions with simulated WebSockets, apply to real cases like IoT monitoring, generate exportable SVG/PNG prototypes in high resolution, optimize for 60fps across various devices, and incorporate user feedback for rapid team iterations in a professional setting.

Module 3Performance and Scalability in Chart.js 2026: Big Data and Virtualization (Canvas Workers, Lazy Loading)

Optimize Chart.js 2026 for millions of data points using offscreen workers, implement selective lazy loading and canvas virtualization, benchmark with real Kaggle datasets, reduce bundle size by 40% via tree-shaking, deploy on edge servers for minimal latency, analyze bottlenecks with Chrome DevTools Profiler, produce scalable dashboards for data-intensive enterprises, and validate WCAG 2.2 compliance for inclusive accessibility.

Module 4Enterprise Integrations for Chart.js 2026: React/Vue and Deployment (SSR, CI/CD, Monitoring)

Integrate Chart.js 2026 with React 19 and Vue 3 via official wrappers, manage SSR for optimal SEO, automate CI/CD pipelines with GitHub Actions and Vercel, monitor via Sentry for runtime errors, deploy modular micro-frontends, test end-to-end with Cypress on critical business scenarios, finalize your personal portfolio with complete case studies, and prepare for Qualiopi certification to enhance enterprise skills.

Evaluation method

  • Daily interactive quizzes on remote platforms to validate expert knowledge.
  • Final project: complete Chart.js 2026 dashboard deployed live, graded on performance and UX criteria.
  • Post-training oral interview for Qualiopi certified attestation and personalized feedback.

Learning method

  • 90% hands-on: live coding in interactive remote sessions with screen sharing.
  • Agile methods: daily sprints, peer code reviews for rapid skill development.
  • Premium resources: private GitHub repo, ready-to-use Chart.js 2026 templates.
  • Continuous support: 6-month access to replays and Slack community for further learning.

Methods, materials and delivery

The Training Chart.js 2026 - Master Advanced Interactive 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 Chart.js 2026 - Master Advanced Interactive 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 Chart.js 2026 - Master Advanced Interactive 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

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
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« 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
★★★★★

« 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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