{"id":4958,"date":"2025-04-11T12:59:35","date_gmt":"2025-04-11T16:59:35","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ExecEd\/?post_type=course&p=4958"},"modified":"2026-03-04T09:07:24","modified_gmt":"2026-03-04T14:07:24","slug":"jhu-online-course-advanced-techniques-in-data-visualization","status":"publish","type":"course","link":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/jhu-online-course-advanced-techniques-in-data-visualization\/","title":{"rendered":"Advanced Techniques in Data Visualization"},"content":{"rendered":"\n
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Advanced Techniques in Data Visualization<\/h1>\n\n\n

Start anytime. Learn at your own pace.<\/p>\n\n\n

Start designing with purpose. Build interactive, insightful visualizations that handle complexity with clarity.<\/p><\/div>\n\n\n\n

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<\/rect><\/g><\/path><\/g><\/polygon><\/polygon><\/polygon><\/g><\/svg><\/span>Data Science<\/span><\/span><\/p>\n\n\n\n

<\/title><\/path><\/path><\/path><\/circle><\/svg><\/span>Online Self-Paced<\/span><\/span><\/p>\n<\/div>\n\n\n\n
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Instructor: Dr. Jesus Caban<\/a><\/p>\n\n<\/div><\/div>\n<\/div>\n\n\n

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<\/path><\/svg><\/span>Curriculum designed and delivered by Johns Hopkins faculty<\/a><\/span><\/p>\n\n\n\n

<\/path><\/svg><\/span>Application-focused learning with Industry-relevant tools and technologies<\/span><\/p>\n\n\n\n

<\/path><\/svg><\/span>Engaging learning including video walkthroughs and hands-on assignments<\/a><\/span><\/p>\n\n\n\n

<\/path><\/svg><\/span>Use your platform of choice (Tableau, Power BI, Python, etc.)<\/span><\/p>\n<\/div>\n\n<\/div><\/div>\n\n<\/div>\n\n

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When your data includes networks, hierarchies, maps, or unstructured text, you’ve outgrown the default tools<\/strong>. The story you need to tell with your data is more nuanced. <\/p>\n\n\n\n

Dr. Jesus Caban teaches advanced data visualization techniques that leverage tools designed not just to summarize data, but to reveal deeper insights. The learning experience combines videos, readings, hands-on assignments, and quizzes to keep you building and applying knowledge.<\/p>\n\n\n\n

You\u2019ll begin by examining the role of color in perception and communication. With RGB and CIELab color spaces and tools like ColorBrewer, select palettes that enhance clarity, emphasize meaning, and support accessibility<\/strong>. <\/p>\n\n\n\n

With dynamic features like zooming, filtering, brushing, tooltips, and semantic zooming, use interaction to support exploration and context-aware storytelling\u2014and keep them responsive. Now users (and you as the designer) can spot patterns and draw conclusions without clutter.<\/strong><\/p>\n\n\n\n

Tackle networks and hierarchies like social networks, organizational structures, and systems design,<\/strong> with node-link diagrams, treemaps, clustering layouts, and edge bundling.<\/p>\n\n\n\n

Explore geospatial <\/strong>visualization, using maps, projections, and flow diagrams to uncover regional trends, disparities, and relationships\u2014so geography can clarify your learnings<\/strong> instead of distorting them. <\/p>\n\n\n\n

As written content becomes more central to research and decision-making, word clouds and document comparison techniques<\/strong> help you surface patterns, sentiment, and key themes\u2014turning language into insight, even at scale.<\/p>\n\n\n\n

By the end of this course, you’ll be equipped to handle visualization challenges in most real-world projects<\/strong>. You\u2019ll have a strong, flexible toolkit and the judgment to use it well.<\/p>\n\n\n\n

Use the platform you’re most comfortable with. The concepts apply equally to Tableau, Power BI, Python, or any other tool.<\/p>\n<\/div>\n\n\n\n

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Prerequisites <\/h2>\n\n\n\n

You should have a foundational understanding of data visualization concepts and proficiency in the Python programming language, as the hands-on assignments and course materials are designed for application using Python and relevant frameworks.<\/p>\n<\/div>\n\n\n\n

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Meet Your Instructor<\/h2>\n\n\n\n
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Dr. Jesus Caban<\/h3>\n\n\n\n

Johns Hopkins University, Defense Healthcare Management Systems <\/em><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Jesus Caban is Chief Data Scientist in the Program Executive Office, Defense Healthcare Management Systems and instructor in Johns Hopkins Engineering’s #1 ranked online master’s program <\/strong>in Data Science. he has served in different roles including the Chair of the DHA Enterprise Intelligence and Analytics IPT, the Chair of the American Medical Informatics Association (AMIA) Visual Analytics working group, and the Vice Chair of the 2016 IEEE Visualization conference. He earned his PhD in computer science from the University of Maryland Baltimore County. <\/p>\n<\/div>\n<\/div>\n\n\n\n

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Assignments You’ll Explore (With Expert Guidance)<\/h2>\n\n\n\n