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D3.js - the art of data visualization

4.7 Filled star Filled star Filled star Filled star Half star
Based on 51 ratings
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Marek Pilczuk

Welcome to the D3.js - the art of data visualization course.

The D3.js library is the industrial standard for data visualization. The reason for this is that this library offers everything you need to present the data based information in an attractive way to your audience. Only your imagination can create limits.

The D3 library has a massive community of developers and tones of examples available publicly. The problem is that these examples are usually complex, and you have to understand the basic concepts, based on which the visualizations are built.

Read more

Welcome to the D3.js - the art of data visualization course.

The D3.js library is the industrial standard for data visualization. The reason for this is that this library offers everything you need to present the data based information in an attractive way to your audience. Only your imagination can create limits.

The D3 library has a massive community of developers and tones of examples available publicly. The problem is that these examples are usually complex, and you have to understand the basic concepts, based on which the visualizations are built.

This course will help you to build solid foundations, which you will need to create your own visually attractive infographics with the 'wow' effect. Using the right tools, for sure, you will increase the impact on your audience.

Enroll now

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What's inside

Syllabus

Development Environment
Simple Development Environment
Development Environment (webpack)
Development Environment - the quick way
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers D3.js, which is an industry standard library for creating visually appealing data-driven presentations and infographics
Explores data binding and statistical functions, which are essential for creating dynamic and informative visualizations
Includes coverage of force simulation and path generators, which allows learners to create advanced and interactive visualizations
Features a final project focused on creating a stream chart, which allows learners to apply their skills to a real-world scenario
Requires learners to set up a development environment, which may require some initial technical proficiency

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Reviews summary

D3.js: solid foundation for data viz

According to learners, this course provides a largely positive and solid foundation for working with D3.js. Students appreciate the clear explanations and step-by-step approach taken by the instructor. The hands-on projects, such as the Bubble Chart and Stream Chart, are frequently highlighted as helpful for reinforcing concepts. However, it's noted as a warning that a strong grasp of JavaScript, HTML, and SVG is necessary before enrolling. Some reviewers also mention that certain sections or practices taught feel slightly outdated compared to the newest D3 versions or modern JavaScript standards. Overall, it's seen as an excellent starting point for creating compelling data visualizations, best suited for those with the required coding background.
Need strong JS, HTML, SVG skills.
"Be warned, you need to be very comfortable with JavaScript, HTML, and SVG before taking this course."
"I struggled a bit because my JavaScript wasn't strong enough. Make sure you have those basics down first."
"The course moves quickly assuming you know JS and SVG basics already."
Instructor explains concepts well.
"The instructor is clear, concise, and easy to follow."
"His explanations made complex D3 ideas understandable."
"The lectures were well-structured and the instructor's delivery was great."
Hands-on projects reinforce learning.
"The projects like the Bubble Chart and Stream Chart were challenging but really solidified my understanding."
"I loved the hands-on coding exercises; they were key to applying the concepts."
"Building the visualizations step-by-step alongside the instructor was extremely helpful."
Builds a strong base for D3.
"After this course, I feel I have a solid foundation to explore D3 further on my own."
"It covers the essential building blocks of D3 thoroughly."
"This course gives you the fundamental knowledge you need to start creating with D3."
Excellent for beginners to D3.
"This course is a great introduction to D3.js. The instructor explains the basics clearly."
"As a complete beginner to D3, this course really helped me get started and understand the core concepts."
"If you are new to D3, this is the perfect place to build your initial understanding."
Some parts use older D3 patterns.
"Some of the code examples seem a bit outdated with newer D3 versions and ES6 practices."
"While the concepts are sound, some modern approaches in D3 aren't covered."
"An update to reflect current D3 best practices would make this course even better."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in D3.js - the art of data visualization with these activities:
Review Basic JavaScript Concepts
Reviewing JavaScript fundamentals will help you better understand how D3.js manipulates the DOM and handles data.
Browse courses on JavaScript Fundamentals
Show steps
  • Read through a JavaScript tutorial.
  • Practice writing basic JavaScript functions.
  • Review DOM manipulation concepts.
Read 'Interactive Data Visualization for the Web' by Scott Murray
Reading this book will provide a deeper understanding of D3.js concepts and techniques.
View Interactive Data Visualization for the Web: An... on Amazon
Show steps
  • Read the introductory chapters.
  • Work through the example code.
  • Experiment with different visualization techniques.
Create a Simple Bar Chart
Building a simple bar chart will help you solidify your understanding of D3.js selections, data binding, and scales.
Show steps
  • Set up a basic HTML page with an SVG element.
  • Load data into your JavaScript code.
  • Create scales for the x and y axes.
  • Bind the data to the SVG rectangles.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'D3.js in Action' by Elijah Meeks
Reading this book will provide practical examples and deeper insights into D3.js applications.
View D3.js in Action, Third Edition on Amazon
Show steps
  • Review the code examples provided.
  • Adapt the code to create your own visualizations.
  • Focus on the chapters that align with your interests.
Follow D3.js Tutorials on Observable
Following tutorials on Observable will expose you to different D3.js techniques and approaches.
Show steps
  • Find tutorials on specific D3.js topics.
  • Read through the tutorial code.
  • Modify the code to experiment with different parameters.
Document Your D3.js Projects
Documenting your projects will help you reinforce your understanding of the code and make it easier to share with others.
Show steps
  • Add comments to your code explaining each step.
  • Create a README file describing the project.
  • Explain the purpose of the visualization.
Contribute to a D3.js Open Source Project
Contributing to open source will give you valuable experience working with a real-world D3.js codebase.
Show steps
  • Find a D3.js project on GitHub.
  • Identify a bug or feature to work on.
  • Submit a pull request with your changes.

Career center

Learners who complete D3.js - the art of data visualization will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
The role of a Data Visualization Engineer centers around crafting compelling and interactive visual representations of complex datasets. Individuals in this role transform raw data into meaningful charts, graphs, and dashboards that facilitate understanding and decision-making. This course is designed to help you build solid foundations in data visualization, which you will need to create your own visually attractive infographics with the wow effect. A Data Visualization Engineer will be able to create custom visualizations, tailor solutions to specific project requirements, and optimize visualizations for performance and usability. The 'Axes' and 'Scales' module may be valuable to you.
See salaries and explore the career path for Data Visualization Engineer
Data Journalist
Data Journalists use data to find and tell compelling stories. Visualizing data is an essential part of making complex data accessible and engaging for a wider audience. This course may be useful if you need to present data based information in an attractive way to your audience, as Data Journalists often do. A Data Journalist will need to create visualizations that are both informative and visually appealing. This course may help you to build solid foundations, which you will need to create your own visually attractive infographics with the wow effect. The module on 'Loading Data from *.json file' may be valuable.
See salaries and explore the career path for Data Journalist
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and insights. Visualizing data is an essential part of communicating findings to stakeholders. The D3.js library is useful for Data Analysts, providing the tools needed to present the data based information in an attractive way to your audience. Data Analysts can use the skills taught in this course to create compelling dashboards and reports. The 'Histogram' module may be particularly relevant to your needs.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data trends to help companies make better decisions. Much of this role involves creating dashboards and reports that are visually appealing and easily understood. This course may be useful if you need to present data based information in an attractive way to your audience, as Business Intelligence Analysts often do. As a Business Intelligence Analyst, you will need to translate complex data into actionable insights. The material on 'Statistical Functions' and 'Histogram' may be valuable to you. Because this course will give you hands-on experience with creating visualizations, this may be a very valuable course.
See salaries and explore the career path for Business Intelligence Analyst
Report Developer
Report Developers design, develop, and maintain reports that present data in a clear and concise manner. They often work with business intelligence tools to generate insights and track key performance indicators. This course may be useful if you need to present data based information in an attractive way to your audience, as Report Developers often do. A Report Developer will need to create visually appealing and informative reports that meet the needs of the business. This course may help you to build solid foundations, which you will need to create your own visually attractive infographics with the wow effect. The 'Axis Generator' module may be relevant to your work.
See salaries and explore the career path for Report Developer
Data Scientist
Data Scientists use statistical methods and machine learning techniques to analyze data and extract meaningful insights. Visualizing data is a crucial part of the process in order to communicate findings and explore patterns. The D3.js library is useful for Data Scientists, providing the tools needed to present the data based information in an attractive way to your audience. This course will teach Data Scientists how to create compelling data visualizations. The discussion of 'Statistical Functions' may also be very informative. This course, in particular, may help you to build solid foundations in data visualization.
See salaries and explore the career path for Data Scientist
User Interface Developer
User Interface Developers design and implement the interactive elements of websites and applications, and data visualization plays a significant role in conveying information effectively. This course may be useful if you need to present data based information in an attractive way to your audience, as User Interface Developers often do. A User Interface Developer will need to integrate data visualizations seamlessly into the user interface. A course such as this one may help you to build solid foundations, which you will need to create your own visually attractive infographics with the wow effect. The 'Dragging' module may provide you with some useful knowledge.
See salaries and explore the career path for User Interface Developer
Frontend Developer
A Frontend Developer must create interactive web experiences, and data visualization is a key component of many modern web applications. As a Frontend Developer, you will need to translate data into engaging visual representations. A course such as this one may offer you the opportunity to help you to build solid foundations, which you will need to create your own visually attractive infographics with the wow effect. The 'Text Element' module may be particularly relevant to your interests.
See salaries and explore the career path for Frontend Developer
Research Scientist
A Research Scientist investigates scientific questions by performing experiments and analyzing data. Visualizing data is a critical component of communicating research findings. The D3.js library is useful for Research Scientists, providing the tools needed to present the data based information in an attractive way to your audience. This course will teach Research Scientists how to create clear and informative visualizations for publications and presentations. The 'Scales' module may be particularly relevant to your needs.
See salaries and explore the career path for Research Scientist
Statistician
Statisticians collect, analyze, and interpret data to solve problems in a variety of fields. Visualizing data is a crucial part of communicating statistical findings to a wider audience. This course may be useful if you need to present data based information in an attractive way to your audience, as Statisticians often do. With this course, a Statistician will be able to create compelling visualizations that highlight key statistical insights. In particular, the 'Statistical Functions' module may be valuable to you. This course may help you to build solid foundations in data visualization.
See salaries and explore the career path for Statistician
Web Developer
Web Developers build and maintain websites and web applications. Data visualization is increasingly becoming an important aspect of web development, particularly for sites that deal with large amounts of information. This course may be useful if you need to present data based information in an attractive way to your audience, as Web Developers often do. Web Developers can use the skills taught in this course to create interactive charts, graphs, and maps. The 'Adding SVG' module may be helpful to you. This course may help you to build solid foundations in data visualization.
See salaries and explore the career path for Web Developer
User Experience Designer
User Experience Designers focus on creating positive and intuitive experiences for users of websites and applications. Data visualization is an important tool for conveying information effectively and engaging users. This course may be useful if you need to present data based information in an attractive way to your audience, as User Experience Designers often do. As a User Experience Designer, you will need to ensure that data visualizations are both informative and visually appealing. The 'Event Handling' module may be very valuable to you.
See salaries and explore the career path for User Experience Designer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. Visualizing the performance and results of these models is essential for understanding their behavior and communicating their effectiveness. This course may be useful if you need to present data based information in an attractive way to your audience, as Machine Learning Engineers often do. With this course, a Machine Learning Engineer will be able to create visualizations that help in debugging and understanding the model. The 'Dragging' module may be helpful to you as well.
See salaries and explore the career path for Machine Learning Engineer
Information Architect
Information Architects design the structure and organization of information within websites and applications. They prioritize usability and clarity, and data visualization plays a key role in making complex data accessible. This course may be useful if you need to present data based information in an attractive way to your audience, as Information Architects often do. A good Information Architect will be able to integrate data visualizations seamlessly into the overall information architecture. This course may help you to build solid foundations, which you will need to create your own visually attractive infographics with the wow effect.
See salaries and explore the career path for Information Architect
Quantitative Analyst
Quantitative Analysts, often working in finance, use mathematical and statistical models to analyze financial markets and make investment decisions. Visualizing data is important for identifying patterns, trends, and anomalies. This course may be useful if you need to present data based information in an attractive way to your audience, as Quantitative Analysts often do. A Quantitative Analyst will be able to create visualizations that help in understanding market dynamics and risks. The 'Statistical Functions' module may be particularly relevant to your interests.
See salaries and explore the career path for Quantitative Analyst

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in D3.js - the art of data visualization.
Cover image
Interactive Data Visualization for the Web
Save
Comprehensive guide to D3.js, covering everything from basic concepts to advanced techniques. It provides numerous examples and step-by-step instructions for creating interactive visualizations. This book is highly recommended as a reference text and is commonly used by both beginners and experienced D3.js developers. It adds significant depth to the course material.
Interactive Data Visualization for the Web: An...
Paperback
$$
Interactive Data Visualization for the Web: An...
Paperback
$$
(中文) 数据可视化实战:使用D3设计交互式图表 (图灵程序设计丛书 23) (Chinese Edition)
Kindle Edition
$
Cover image
D3.js in Action, Third Edition
Save
Provides a practical, example-driven approach to learning D3.js. It covers a wide range of visualization techniques and provides detailed explanations of the underlying code. This book is particularly useful for those who prefer to learn by doing and want to see how D3.js can be used to create real-world visualizations. It is valuable as additional reading to expand on the course material.
D3.js in Action, Third Edition
Paperback
$$$

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4.7 Filled star Filled star Filled star Filled star Half star
Effort
7.5 total hours
Via
Udemy
Instructor
Marek Pilczuk
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers D3.js, which is an industry standard library for creating visually appealing data-driven presentations and infographics
Explores data binding and statistical functions, which are essential for creating dynamic and informative visualizations
Includes coverage of force simulation and path generators, which allows learners to create advanced and interactive visualizations
Features a final project focused on creating a stream chart, which allows learners to apply their skills to a real-world scenario
Requires learners to set up a development environment, which may require some initial technical proficiency
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