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Guided learning journeys that build knowledge step by step.
category · Learning · slug · learning · 7812 Paths
7812 Paths · page 366 / 782
This graduate-level learning path equips analytics professionals with the knowledge and skills to design and use interactive visualizations to support analytical reasoning. It covers the theoretical foundations, interaction techniques, visual querying, collaborative analysis, and practical design principles, culminating in the ability to create effective visual analytics systems.
This advanced learning path equips data engineers and scientists with systematic knowledge and practical techniques for visualizing large-scale datasets efficiently. It covers data reduction methods, WebGL-based rendering, streaming data visualization, and performance optimization, grounded in big data concepts and visualization foundations.
This path equips designers and developers with the knowledge and skills to create data visualizations that are accessible to all users, including those with disabilities. It covers WCAG guidelines, color accessibility, alternative text, screen reader compatibility, and inclusive design practices, ensuring visualizations are perceivable, operable, and understandable.
This advanced learning path equips web developers with the expertise to create custom interactive data visualizations using D3.js. Starting with core web technologies and D3 fundamentals, it progresses through scales, data binding, transitions, and interactions, culminating in complex layouts like force-directed graphs and modular composition.
This learning path equips financial professionals with the skills to transform raw financial and market data into insightful visualizations. It covers the theoretical foundations of financial data, technical analysis, and visualization design, followed by practical techniques for creating candlestick charts, indicators, time series visualizations, and interactive dashboards. The path culminates in a capstone project that integrates all skills for performance tracking and reporting.
This path equips journalists and communicators with the skills to create clear, accurate, and ethical statistical graphics. It covers data literacy, chart selection, design principles, annotation, plain language, and publication formats, culminating in storytelling with data.
A comprehensive learning path for network analysts to master the visualization of graph data, covering foundational graph theory, data structures, and algorithms, progressing through practical Python libraries and tools, and culminating in advanced visualization techniques and evaluation. This path emphasizes hands-on application with NetworkX, Gephi, and other tools to create effective, insightful network visualizations.
This learning path equips GIS professionals with the knowledge and skills to create sophisticated maps and geographic visualizations from spatial data using Python. It covers foundational GIS concepts, spatial data handling, map projections, and advanced visualization techniques with libraries like Carto, Leaflet, Folium, and Mapbox.
A graduate-level learning path covering the theoretical underpinnings of information visualization, including perceptual theory, cognitive aspects, design space, taxonomies, and evaluation methods. Designed for visualization career skillers seeking systematic understanding.
This learning path guides BI professionals through the systematic design of dashboards that communicate data stories effectively. It covers goal definition, KPI selection, layout, user experience, interactivity, narrative flow, story points, and review processes, integrating data visualization best practices.