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Johns Hopkins University
Data Visualization Specialization
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

Access provided by New York State Department of Labor

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: Scatter Plots
Category: Data Presentation
Category: Color Theory
Category: Data Storytelling
Category: Graphic and Visual Design
Category: Data Visualization
Category: Design Elements And Principles
Category: Exploratory Data Analysis
Category: Graphing
Category: Data Visualization Software

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: Interactive Data Visualization
Category: Color Theory
Category: Unstructured Data
Category: Heat Maps
Category: Text Mining
Category: Tree Maps
Category: Network Analysis
Category: Data Visualization Software
Category: Geospatial Information and Technology
Category: Data Storytelling
Category: Tableau Software

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: Scientific Visualization
Category: 3D Modeling
Category: Time Series Analysis and Forecasting
Category: Computer Displays
Category: Interactive Data Visualization
Category: Computer Graphics
Category: Visualization (Computer Graphics)
Category: Verification And Validation
Category: Scalability
Category: Data Visualization Software

Instructor

Jesus Caban
Johns Hopkins University
3 Courses449 learners

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