Johns Hopkins University
Data Visualization Specialization

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Johns Hopkins University

Data Visualization Specialization

Master Advanced Data Visualization for Insights. Gain expertise in data visualization techniques, from foundational principles to specialized methods, enabling you to create impactful and accurate visual representations of complex data.

Jesus Caban

Instructor: Jesus Caban

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

3 months
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

3 months
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn to apply core data visualization techniques for effective representation, from basic to advanced methods, in diverse professional settings.

  • Develop skills in visualizing complex data types such as temporal and network data, using interactive design and advanced rendering techniques.

  • Gain proficiency in evaluating and enhancing visualizations, focusing on usability, design principles, and optimizing information clarity.

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Taught in English
Recently updated!

January 2025

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Specialization - 3 course series

What you'll learn

  • Understand core data visualization concepts, its history, and how it enhances data comprehension for decision-making and storytelling.

  • Learn to select the appropriate chart types for different data sets, considering data types and visualization techniques.

  • Explore human visual perception, how it affects data interpretation, and how to use perceptual principles for better visualizations.

  • Gain knowledge of key design principles, focusing on clarity, simplicity, and aesthetics to create impactful and easy-to-understand visualizations.

Skills you'll gain

Category: Data Visualization Techniques
Category: Chart and Graph Selection
Category: Visualization Design Principles
Category: Visual Perception Principles
Category: Data Interpretation and Communication

What you'll learn

  • Learners will master color theory and its application to enhance data clarity and perception in visualizations across various formats and data types.

  • They will gain skills to design interactive visualizations that improve user engagement and allow for deeper exploration of complex data.

  • They will learn to create and analyze hierarchical and network visualizations, effectively representing relationships and connections within data.

  • They will explore techniques for visualizing geospatial and textual data, using maps, word clouds, and document summaries for clearer insights.

Skills you'll gain

Category: Color Theory and Application
Category: Hierarchical and Network Visualization
Category: Textual Data Visualization
Category: Interactive Visualization Design
Category: Geospatial Visualization Techniques

What you'll learn

  • Visualize temporal data and identify trends over time using advanced techniques tailored to time-based datasets and scientific data representation.

  • Represent volumetric and 3D data using visualization methods, including medical imaging techniques for complex scientific datasets.

  • Apply direct volume rendering methods and transfer functions to enhance data clarity in non-photorealistic visualizations.

  • Evaluate and validate visualizations across various systems, ensuring accuracy, effectiveness, and scalability.

Skills you'll gain

Category: Temporal Data Visualization
Category: Isosurface and Flow Visualization
Category: Visualization System Evaluation
Category: 3D Data Representation
Category: Volume Rendering Techniques

Instructor

Jesus Caban
Johns Hopkins University
3 Courses6 learners

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