In the course "Foundations of Data Visualization", you will build a solid foundation in data visualization, learning how to effectively transform raw data into meaningful insights. The course covers fundamental concepts, including basic data types, human visual perception, and essential design principles that influence how we interpret and understand visual information. You will also explore various visualization techniques suitable for different data types, from bar charts to scatter plots, and learn how to select the best approach for specific data sets. The course emphasizes how human visual perception impacts how we process and interpret data, helping you create visuals that resonate with your audience.
Foundations of Data Visualization
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Foundations of Data Visualization
This course is part of Data Visualization Specialization
Instructor: Jesus Caban
Included with 
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2025
Assessments
12 assignments
Taught in English
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This course is part of the Data Visualization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Offered by
Recommended if you're interested in Data Analysis
Johns Hopkins University
Johns Hopkins University
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Frequently asked questions
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