Johns Hopkins University
Foundations of Data Visualization

New year. Big goals. Bigger savings. Unlock a year of unlimited access to learning with Coursera Plus for $199. Save now.

Johns Hopkins University

Foundations of Data Visualization

This course is part of Data Visualization Specialization

Jesus Caban

Instructor: Jesus Caban

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

January 2025

Assessments

12 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Data Visualization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 5 modules in this course

This course introduces fundamental concepts of data visualization, focusing on understanding how data can be effectively visualized for insight generation. The modules cover basic techniques, human visual perception, and essential design principles, setting a strong foundation in visualization for those new to the field or wanting to enhance their design skills.

What's included

2 readings

In this introductory module, learners will explore the foundational aspects of data visualization, gaining insights into the key topics covered throughout the course. Learners will also become familiar with the grading criteria and structure, setting clear expectations for learning journey. This module provides an overview of high-level concepts in data visualization, tracing its history, evolution, and purpose in enhancing data understanding and decision-making. By the end, learners will have a solid understanding of what lies ahead and how data visualization can transform complex information into actionable insights.

What's included

5 videos2 readings3 assignments

In this module, learners will delve into foundational visualization techniques and learn to differentiate key data types, including nominal and ordinal data. Learners will be able to explore a range of basic visualization methods, examine their strengths and limitations, and gain insight into how these techniques can be adapted to represent multiple variables effectively. By the end of this module, learners will be equipped to select and apply suitable visualization techniques based on data type and analysis needs.

What's included

4 videos3 readings3 assignments

This module explores how human visual perception shapes our understanding of visual data, focusing on the workings of the visual system and how we interpret visual information. Learners will learn the distinctions between pre-attentive and attentive processing, which play crucial roles in how we notice and interpret data. Additionally, they’ll examine various encoding techniques within visualizations to enhance data comprehension and engagement. By the end of this module, learners will understand how to leverage perceptual principles to create effective and intuitive data visualizations.

What's included

4 videos4 readings3 assignments

This module equips learners with key principles for creating clear and impactful data visualizations. Learners will explore the data-to-ink concept, principles of graphical excellence, and the re-design process to enhance existing visuals. Through practical exercises and case studies, learners will master the art of crafting compelling visual narratives that effectively communicate insights and support decision-making.

What's included

3 videos3 readings3 assignments

Instructor

Jesus Caban
Johns Hopkins University
3 Courses14 learners

Offered by

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions