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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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The Training Chart.js - Create Professional Interactive Charts 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 Training Chart.js - Create Professional Interactive Charts 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 Training Chart.js - Create Professional Interactive Charts 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.
Discovery of Chart.js via CDN or npm in a Node.js environment, creation of a responsive HTML canvas, configuration of a bar chart with simple JSON datasets, practical exercises on company sales data, addition of dynamic labels and interactive tooltips, production of your first professional visual with personalized code review by the trainer for immediate skill improvement.
Exploration of line charts to analyze numerical trends, import of real company CSV data via fetch API, customization of multiple axes and logarithmic scales, exercises on concrete cases like KPI monitoring, addition of smooth animations and clickable legends, creation of an interactive temporal dashboard, validation through unit tests to ensure solid and certified skills.
Implementation of grouped and stacked bars for product comparisons, creation of doughnuts and radars for market shares, integration of multiple datasets with thematic colors, practice on real competitor benchmarks, configuration of hover interactions and drill-down, development of a complete visual report, expert feedback to optimize your professional visualizations in a business context.
Application of custom themes via global options and official plugins, responsive integration for mobile and desktop with CSS breakpoints, addition of advanced animations and smooth transitions, exercises on large enterprise datasets, combination with libraries like Moment.js for dates, creation of an adaptable dashboard prototype, practical workshop with production-ready deliverables for certification.
Connecting Chart.js to REST APIs for live data, performance optimization with lazy loading and pooling, integration into frameworks like React or vanilla JS, final exercises on a complete enterprise project, export to PNG/SVG and interactive sharing, deployment on Netlify with basic CI/CD, presentation of your certified dashboard with skills evaluation to boost your professional data visualization career.
Target audience
Web developers, data analysts, business intelligence managers seeking to enhance visualization skills
Prerequisites
Basics in HTML5, CSS3, and JavaScript ES6
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