Foundations of Data Visualization
Start Anytime
Tap into the brain’s visual processing power to deliver clear understanding.
Designed and taught by Hopkins Engineering’s expert faculty
Engaging learning including video walkthroughs and hands-on learning
Application-focused learning with Industry-relevant tools and technologies

Data Science
Online Self-Paced
20+ hours
2 CEUs
$500
Instructor: Dr. Jesus Caban
Well-designed visualizations do more than just display information, they align with the way our brains naturally process visuals—enhancing understanding, memory, and insight. To tap into this power, you need a strong foundation.
The Foundations of Data Visualization course, taught by Dr. Jesus Caban, introduces the core concepts and techniques required to design with intention—transforming complex data into clear, ethical, and meaningful visual communication.
You’ll start with an overview, exploring data visualization’s role in simplifying complexity, revealing patterns, and telling compelling stories. You’ll understand the history of the field and learn how to spot and avoid misleading visual practices.
Then it’s on to core visualization techniques—learning how to represent nominal, ordinal, and quantitative data using charts like tables, scatter plots, hierarchical diagrams, and line graphs, with attention to when and why each is effective.
We then turn to human visual perception—how we process color, position, and size—and how those insights inform visual design. You’ll take advantage of how our brains process visual information to dramatically improve the clarity and effectiveness of your visualizations. This cognitive approach ensures your visuals aren’t just accurate—they’re impactful and easy to grasp
Through video lectures, readings, hands-on assignments, and exploring good (and not-so good) examples, you’ll understand how to apply best practices in design and visual encoding.
You’ll walk away with a clear framework, practical vocabulary, and a critical eye that sets you up for success in more advanced applications. You’ll be equipped to produce visualizations that are not only accurate and effective, but also respectful of your audience’s time, attention, and trust.
Prerequisites
If you’ve worked with spreadsheets, basic charts, or data reports—even informally—you’re ready. Course material includes hands-on projects using Jupyter Notebooks, a popular environment for working with data in Python, but no formal background in Python is required to take this course. Sample code is provided, and step-by-step instructions are included. You can run everything using free, browser-based platforms like Google Colab, Binder, or Kaggle.
Meet Your Instructor
Dr. Jesus Caban
Johns Hopkins University, Defense Healthcare Management Systems
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 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.
Projects You’ll Explore (With Expert Guidance)
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Spot the Flaw: Misleading Data in the Wild
Analyze a series of deceptive charts to learn how visual decisions—like omitted axes or distorted scales—can mislead audiences and undermine trust.
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Chart Smart: Building the Basics with the Iris Dataset
Create classic visualizations and practice the fundamentals of chart construction, labeling, and layout with this famous dataset of flowers from 1936.
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Visual Vocabulary: Designing with Encodings
Explore the power of position, color, size, and shape by creating custom visualizations with the “Tips” dataset to express patterns and comparisons more effectively.
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Debt by Design: Critiquing a Complex Dashboard
Evaluate the U.S. Debt Clock dashboard through the lens of simplicity, structure, and graphical excellence to understand how overwhelming design choices can obscure meaning.
Earn Globally Recognized Credentials
On successful completion of the course, learners will earn 2 Continuing Education Units (CEUs) and a data visualization certificate of completion from Johns Hopkins University.
The image is for illustrative purposes only. Actual certificate design subject to change,
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Course Delivery and Support
Johns Hopkins University is collaborating with online education provider Great Learning to offer this Foundations of Data Visualization online course. Great Learning collaborates with institutions to manage enrollments (including all payment services and invoicing) and technology.
Foundations of Data Visualization
Data Science
Online Self-Paced
20+ hours
2 CEUs
$500