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Guided learning journeys that build knowledge step by step.
category · Learning · slug · learning · 7812 Paths
7812 Paths · page 365 / 782
This learning path equips designers and marketers with the skills to create compelling infographics that clearly communicate data. Starting with design fundamentals, it progresses through data visualization principles, storytelling, and practical tool use, culminating in a capstone project.
A structured path to create professional data visualizations in Excel. Starting from Excel basics, you will learn to choose appropriate chart types, apply formatting, use conditional formatting and sparklines, and build dynamic and advanced charts for business communication.
A structured learning path for ML practitioners to systematically master visualization techniques for machine learning. It covers foundational concepts, model-agnostic visualizations, model-specific techniques, and process visualizations, culminating in a practical capstone project.
This learning path equips visualization creators with the knowledge and skills to design honest, ethical, and transparent data visualizations. It covers foundational data literacy, common misleading techniques, ethical design principles, and responsible storytelling, culminating in a practical project to apply these concepts.
A structured path for data professionals to master visualization of time-based data. Starting from data preparation and time series fundamentals, it covers essential chart types such as line, area, and seasonal plots, progressing to advanced techniques like calendar heatmaps and candlestick charts. Practical implementation with Python and R ensures skills are immediately applicable.
This path introduces beginners to fundamental data types and how they influence visualization choices. It covers quantitative, categorical, ordinal, temporal, and spatial data, along with mapping these types to appropriate visual encodings.
This learning path guides visualization practitioners through the process of creating a professional portfolio that demonstrates mastery across multiple tools. It covers project selection, tool diversity, storytelling, code quality, portfolio presentation, personal website creation, and project documentation. The path emphasizes practical application and professional presentation.
A comprehensive learning path for Python developers to master the Dash framework, covering everything from foundational Plotly visualizations to advanced interactive components, state management, performance optimization, and deployment strategies. This path emphasizes hands-on application and systematic learning, preparing learners to build production-ready, interactive data dashboards.
This learning path guides R developers through the creation of interactive data applications and dashboards using Shiny. It covers reactive programming, UI design, interactive visualizations, deployment, and best practices, ensuring a comprehensive understanding of building robust and user-friendly applications.
This advanced learning path equips healthcare analysts with the knowledge and skills to design effective visualizations and dashboards for clinical and operational decision-making. It covers healthcare data fundamentals, visualization principles, clinical dashboard design, EHR data visualization, health outcome analysis, patient flow, compliance reporting, and ethical considerations.