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Ryan Orban,
Chris Saden,
and
Jonathan Dinu
Take Udacity's free D3.js online course and learn the fundamentals of data visualization. Apply design and narrative concepts to create your own visualization.
Register for this course and see more details by visiting:
OpenCourser.com/course/dkwndb/udacity
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UDACITY40
What's inside
Syllabus
Discover exploratory and explanatory data visualizations, identify data types and learn effective ways to encode your data.
Get started with visualizations on the web using html, javascript, css and d3.js.
Read more
Syllabus
Discover exploratory and explanatory data visualizations, identify data types and learn effective ways to encode your data.
Get started with visualizations on the web using html, javascript, css and d3.js.
Read more
Check what you've learned about visualization principles and tools for visualization on the web.
Dive into chart types and learn how to use the way human brain processes what it sees.
Build up a visualization using dimple.js, using the console to debug and inspect your work.
Test your knowledge of chart types and how axes work.
Understand how organising your data story matters and develop your own visualisation from dimple to d3.js!
Create a map visualization, learn more advanced techniques for working with data and add an animation using d3.js.
Final Project
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers a range of chart types, focusing on human perception of visualization
Explores exploratory and explanatory data visualizations, giving learners a foundation in data visualization
Utilizes industry-standard tools and techniques, including HTML, JavaScript, CSS, and d3.js
Provides hands-on experience with building visualizations using D3.js
Develops skills in organizing and presenting data stories
Suitable for learners with a basic understanding of data analysis and visualization
Save this course
Save Data Visualization and D3.js to your list so you can find it easily later:
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Reviews summary
Data visualization practicum
Data Visualization and D3.js course teaches students the fundamentals of data visualization. This course focuses on the application of data visualization principles, along with user experience and design, to create data visualizations. Javascript experience is beneficial but not required.
Basic programming and web development concepts are helpful but not required.
Course material is out-of-date.
"This course is outdated, it uses v3 but d3 has v4 time ago, changing many things between these two versions."
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 Data Visualization and D3.js with these
activities:
Review HTML, CSS, and JavaScript
Show steps
Brush up on your HTML, CSS, and JavaScript knowledge to enhance your starting point for D3.js.
Browse courses on
HTML
Show steps
-
Go through online tutorials
-
Revisit your notes or course materials
-
Solve practice problems or coding challenges
Explore D3.js Examples
Show steps
Start exploring and interacting with D3.js examples to familiarize yourself with the basics of data visualization before the class starts.
Show steps
-
Visit the D3.js Gallery
-
Browse through various examples
-
Inspect the code and play with the interactive visualizations
Organize Course Materials
Show steps
Organize your notes, assignments, and resources for easy access and improved retention.
Show steps
-
Create a dedicated folder or notebook for the course
-
Regularly add and organize your materials
-
Review your materials periodically to reinforce your learning
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Simple Bar Chart
Show steps
Create a simple bar chart to solidify your understanding of data visualization and D3.js.
Browse courses on
Data Visualization
Show steps
-
Gather data and decide on the appropriate chart type
-
Set up a basic D3.js framework and import your data
-
Use D3.js scales and axes to create the visualization
-
Add labels, titles, and a legend to enhance the chart
Solve D3.js Coding Challenges
Show steps
Work through coding challenges to strengthen your problem-solving skills and deepen your understanding of D3.js.
Browse courses on
D3.js
Show steps
-
Find coding challenges online or in resources like D3.js books
-
Attempt to solve the challenges on your own
-
Review solutions and discuss your approach with peers or mentors
Join a Study Group
Show steps
Engage with peers in discussions and collaborative projects to reinforce your understanding and broaden your perspectives.
Show steps
-
Find a study group or create one with classmates
-
Meet regularly to discuss course concepts, assignments, and projects
-
Collaborate on projects and provide feedback to each other
Contribute to D3.js Community
Show steps
Contribute to the D3.js community by reporting bugs, suggesting improvements, or creating new features to deepen your understanding.
Browse courses on
D3.js
Show steps
-
Explore the D3.js GitHub repository
-
Identify an issue or potential improvement
-
Fork the repository and create a pull request with your proposed changes
Review HTML, CSS, and JavaScript
Show steps
Brush up on your HTML, CSS, and JavaScript knowledge to enhance your starting point for D3.js.
Browse courses on
HTML
Show steps
Show steps
Show steps
- Go through online tutorials
- Revisit your notes or course materials
- Solve practice problems or coding challenges
Explore D3.js Examples
Show steps
Start exploring and interacting with D3.js examples to familiarize yourself with the basics of data visualization before the class starts.
Show steps
Show steps
Show steps
- Visit the D3.js Gallery
- Browse through various examples
- Inspect the code and play with the interactive visualizations
Organize Course Materials
Show steps
Organize your notes, assignments, and resources for easy access and improved retention.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for the course
- Regularly add and organize your materials
- Review your materials periodically to reinforce your learning
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Simple Bar Chart
Show steps
Create a simple bar chart to solidify your understanding of data visualization and D3.js.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather data and decide on the appropriate chart type
- Set up a basic D3.js framework and import your data
- Use D3.js scales and axes to create the visualization
- Add labels, titles, and a legend to enhance the chart
Solve D3.js Coding Challenges
Show steps
Work through coding challenges to strengthen your problem-solving skills and deepen your understanding of D3.js.
Browse courses on
D3.js
Show steps
Show steps
Show steps
- Find coding challenges online or in resources like D3.js books
- Attempt to solve the challenges on your own
- Review solutions and discuss your approach with peers or mentors
Join a Study Group
Show steps
Engage with peers in discussions and collaborative projects to reinforce your understanding and broaden your perspectives.
Show steps
Show steps
Show steps
- Find a study group or create one with classmates
- Meet regularly to discuss course concepts, assignments, and projects
- Collaborate on projects and provide feedback to each other
Contribute to D3.js Community
Show steps
Contribute to the D3.js community by reporting bugs, suggesting improvements, or creating new features to deepen your understanding.
Browse courses on
D3.js
Show steps
Show steps
Show steps
- Explore the D3.js GitHub repository
- Identify an issue or potential improvement
- Fork the repository and create a pull request with your proposed changes
Career center
Learners who complete Data Visualization and D3.js will develop knowledge and skills
that may be useful to these careers:
Data Visualization Engineer
Data Visualization Engineer
As a Data Visualization Engineer, you will design and implement data visualization solutions. This course can help you develop the skills necessary to create interactive and dynamic visualizations that effectively communicate data insights.
Data Journalist
Data Journalist
As a Data Journalist, you will use data to tell stories and inform the public. This course can help you learn how to use data visualization to create compelling and engaging stories that effectively communicate complex data to a wide audience.
Data Scientist
Data Scientist
As a Data Scientist, you will use scientific methods and statistical techniques to extract knowledge from data. This course can help you gain a deeper understanding of data visualization principles and techniques, which is essential for communicating your findings to a wide range of audiences.
Data Analyst
Data Analyst
As a Data Analyst, you will gather, clean, and analyze data to identify trends and patterns. This course can help you develop the skills necessary to visualize data in a way that is easy to understand and interpret, which is valuable for communicating insights to stakeholders.
Information Architect
Information Architect
As an Information Architect, you will design and organize websites and applications to make them easy to find and use. This course can help you learn how to use data visualization to create intuitive and user-friendly information architectures.
UX Designer
UX Designer
As a UX Designer, you will design user interfaces for websites and applications. This course can help you learn how to use data visualization to create user experiences that are visually appealing and easy to use.
Marketing Analyst
Marketing Analyst
As a Marketing Analyst, you will analyze data to understand customer behavior and trends. This course can help you learn how to use data visualization to create compelling and persuasive presentations that effectively communicate your findings.
Business Analyst
Business Analyst
As a Business Analyst, you will analyze business processes and data to identify areas for improvement. This course can help you learn how to use data visualization to create clear and concise reports that effectively communicate your findings and recommendations.
Web Developer
Web Developer
As a Web Developer, you will design, develop, and maintain websites and web applications. This course can help you learn how to use D3.js to create interactive and dynamic data visualizations that enhance the user experience.
Financial Analyst
Financial Analyst
As a Financial Analyst, you will analyze financial data to make investment recommendations. This course can help you learn how to use data visualization to create clear and concise charts and graphs that effectively communicate your findings to clients.
Software Engineer
Software Engineer
As a Software Engineer, you will use mathematical principles and software development methodologies to create, implement, test, and maintain software applications. By learning how to visualize data effectively, you can create software that solves real-world problems and meets user needs.
Product Manager
Product Manager
As a Product Manager, you will manage the development and launch of new products. This course can help you learn how to use data visualization to make informed decisions about product design, marketing, and sales.
Academic Researcher
Academic Researcher
As an Academic Researcher, you will conduct research and publish your findings in academic journals. This course may help you build a foundation in data visualization principles and techniques, which can be useful for communicating your findings to a wide range of audiences.
Quantitative Analyst
Quantitative Analyst
As a Quantitative Analyst, you will use mathematical and statistical models to analyze financial data. This course may help you build a foundation in data visualization principles and techniques, which can be useful for communicating your findings to a wide range of audiences.
For more career information including salaries, visit:
OpenCourser.com/course/dkwndb/udacity
Reading list
We've selected 12 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
Data Visualization and D3.js.
Is written specifically for the d3.js visualization library used in the class. It comprehensive book about the d3.js library that will help you go beyond the basics of the library and create more powerful data visualizations.
Save
Provides a comprehensive overview of data visualization principles and techniques. It good reference for learning more about the theory and practice of data visualization.
Classic in the field of data visualization. It provides a detailed discussion of the principles of data visualization and how to create effective visualizations.
Tutorial for the d3.js visualization library. It provides a step-by-step guide to creating data visualizations with d3.js.
Save
Guide to the ggplot2 package for R. ggplot2 powerful data visualization library that can be used to create a wide variety of visualizations.
Provides a practical guide to creating effective data visualizations. It good resource for learning how to choose the right chart type for your data and how to design visualizations that are clear and easy to understand.
Beginner's guide to data visualization. It provides a step-by-step guide to creating data visualizations using a variety of tools.
Provides a comprehensive overview of the principles of data graphing. It good reference for learning more about the theory and practice of data graphing.
Save
Provides a guide to using R Markdown to create data-driven documents. R Markdown tool that can be used to create reports, presentations, and websites that include data visualizations.
Provides a guide to creating visualizations of time-oriented data. Time-oriented data is data that is collected over time, such as stock prices or weather data.
Provides a guide to creating data visualizations in JavaScript. It good resource for learning how to use JavaScript to create interactive and responsive data visualizations.
Save
Provides a guide to creating data visualizations using R. It good resource for learning how to use R to create a variety of data visualizations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dkwndb/udacity
Share
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Effort
2 days
Via
Udacity
Instructors
Ryan Orban
Chris Saden
Jonathan Dinu
Language
English
Good to know
Covers a range of chart types, focusing on human perception of visualization
Explores exploratory and explanatory data visualizations, giving learners a foundation in data visualization
Utilizes industry-standard tools and techniques, including HTML, JavaScript, CSS, and d3.js
Provides hands-on experience with building visualizations using D3.js
Develops skills in organizing and presenting data stories
Suitable for learners with a basic understanding of data analysis and visualization
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