We may earn an affiliate commission when you visit our partners.
Mike Van Sickle
Graphical charts are one of the most effective ways to gain insight into large datasets. This course will teach you how to use vis.js to create effective charts and add them to your web applications.
Read more
Graphical charts are one of the most effective ways to gain insight into large datasets. This course will teach you how to use vis.js to create effective charts and add them to your web applications.
Read more
Graphical charts are one of the most effective ways to gain insight into large datasets. This course will teach you how to use vis.js to create effective charts and add them to your web applications.
Data has never been so plentiful or easy to gather as it is today. There is so much data in the world, however, that deriving meaning from it is more challenging than ever. In this course, Build Your First Data Visualization with vis.js, you’ll learn to use graphics and charts to communicate meaning from your datasets. First, you’ll explore how to create 2D graphs. Next, you’ll discover how to use the rich set of options that vis.js offers to customize your charts to maximize their impact. Finally, you’ll learn how to use the other chart types that vis.js offers, including 3D graphs, timelines, and networks. When you’re finished with this course, you’ll have the skills and knowledge of vis.js needed to clearly communicate meaning from your data.
Register for this course and see more details by visiting:
OpenCourser.com/course/6yqj42/build
What's inside
Syllabus
Course Overview
Creating 2D Graphs
Exploring Additional Graph Types with vis.js
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to use vis.js to create effective charts and add them to web applications
Helps to derive meaning from large datasets
Covers how to create 2D and 3D charts, timelines, and networks
Provides hands-on labs and interactive materials for practical experience
Save this course
Save Build Your First Data Visualization with vis.js to your list so you can find it easily later:
Save
Save
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 Build Your First Data Visualization with vis.js with these
activities:
Review Basic Graph Concepts
Show steps
Before starting this course, it is helpful to review some basic graph concepts. This activity will help you refresh your memory on key concepts, such as nodes, edges, and weights.
Browse courses on
Data Visualization
Show steps
-
Review the definition of a graph
-
Learn about different types of graphs
-
Review the concepts of nodes, edges, and weights
Find and Follow Tutorials on vis.js
Show steps
vis.js is a powerful data visualization library that can be used to create a wide variety of graphs and charts. This activity will help you find and follow tutorials on vis.js, and learn how to use it to create your own visualizations.
Show steps
-
Search for vis.js tutorials online
-
Use the vis.js documentation and examples to learn how to use the library
-
Follow along with the tutorials and build your own visualizations
Practice Creating 2D Graphs
Show steps
Creating 2D graphs is a fundamental skill in data visualization. This activity will help you practice creating 2D graphs, and experiment with different options to customize your graphs.
Show steps
-
Create a simple line graph using vis.js
-
Customize the line graph by changing the color, width, and style of the lines
-
Add labels to the axes and title to the graph
-
Experiment with different types of 2D graphs, such as bar graphs, scatter plots, and pie charts
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a Study Group
Show steps
Joining a study group is a great way to learn from others and stay motivated. This activity will help you find a study group and get involved in the discussions.
Browse courses on
Data Visualization
Show steps
-
Find a study group online or in your local area
-
Attend study group meetings regularly
-
Participate in discussions and ask questions
-
Help other members of the group with their learning
Build a Data Visualization Dashboard
Show steps
Creating a data visualization dashboard is a great way to practice your data visualization skills and showcase your work. This activity will help you build a dashboard using vis.js, and learn how to combine different types of graphs to tell a story.
Show steps
-
Choose a dataset to use for your dashboard
-
Select the types of graphs that you want to include in your dashboard
-
Use vis.js to create the graphs and arrange them on your dashboard
-
Add interactivity to your dashboard by allowing users to filter the data and change the graph types
Participate in Data Visualization Competitions
Show steps
Participating in data visualization competitions is a great way to challenge yourself and learn from others. This activity will help you find and participate in data visualization competitions, and get feedback on your work from experts.
Browse courses on
Data Visualization
Show steps
-
Find data visualization competitions online
-
Choose a competition that you are interested
-
Create a data visualization for the competition
-
Submit your data visualization to the competition
-
Get feedback on your work from experts
Contribute to vis.js
Show steps
Contributing to vis.js is a great way to learn more about the library and help improve it for others. This activity will help you find ways to contribute to vis.js, and learn how to work with open source projects.
Show steps
-
Find issues on the vis.js GitHub repository
-
Choose an issue that you are interested in fixing
-
Create a pull request to fix the issue
-
Get your pull request reviewed and merged
Review Basic Graph Concepts
Show steps
Before starting this course, it is helpful to review some basic graph concepts. This activity will help you refresh your memory on key concepts, such as nodes, edges, and weights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Review the definition of a graph
- Learn about different types of graphs
- Review the concepts of nodes, edges, and weights
Find and Follow Tutorials on vis.js
Show steps
vis.js is a powerful data visualization library that can be used to create a wide variety of graphs and charts. This activity will help you find and follow tutorials on vis.js, and learn how to use it to create your own visualizations.
Show steps
Show steps
Show steps
- Search for vis.js tutorials online
- Use the vis.js documentation and examples to learn how to use the library
- Follow along with the tutorials and build your own visualizations
Practice Creating 2D Graphs
Show steps
Creating 2D graphs is a fundamental skill in data visualization. This activity will help you practice creating 2D graphs, and experiment with different options to customize your graphs.
Show steps
Show steps
Show steps
- Create a simple line graph using vis.js
- Customize the line graph by changing the color, width, and style of the lines
- Add labels to the axes and title to the graph
- Experiment with different types of 2D graphs, such as bar graphs, scatter plots, and pie charts
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a Study Group
Show steps
Joining a study group is a great way to learn from others and stay motivated. This activity will help you find a study group and get involved in the discussions.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a study group online or in your local area
- Attend study group meetings regularly
- Participate in discussions and ask questions
- Help other members of the group with their learning
Build a Data Visualization Dashboard
Show steps
Creating a data visualization dashboard is a great way to practice your data visualization skills and showcase your work. This activity will help you build a dashboard using vis.js, and learn how to combine different types of graphs to tell a story.
Show steps
Show steps
Show steps
- Choose a dataset to use for your dashboard
- Select the types of graphs that you want to include in your dashboard
- Use vis.js to create the graphs and arrange them on your dashboard
- Add interactivity to your dashboard by allowing users to filter the data and change the graph types
Participate in Data Visualization Competitions
Show steps
Participating in data visualization competitions is a great way to challenge yourself and learn from others. This activity will help you find and participate in data visualization competitions, and get feedback on your work from experts.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find data visualization competitions online
- Choose a competition that you are interested
- Create a data visualization for the competition
- Submit your data visualization to the competition
- Get feedback on your work from experts
Contribute to vis.js
Show steps
Contributing to vis.js is a great way to learn more about the library and help improve it for others. This activity will help you find ways to contribute to vis.js, and learn how to work with open source projects.
Show steps
Show steps
Show steps
- Find issues on the vis.js GitHub repository
- Choose an issue that you are interested in fixing
- Create a pull request to fix the issue
- Get your pull request reviewed and merged
Career center
Learners who complete Build Your First Data Visualization with vis.js will develop knowledge and skills
that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts help businesses transform data into visual representations, enabling stakeholders to gain insights and make informed decisions. This course can help build a foundation in data visualization by teaching you how to create clear and effective charts using vis.js. By mastering these skills, you can become adept at conveying complex information in an accessible and impactful way, making you a valuable asset to any organization.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help Software Engineers build a foundation in data visualization by teaching them how to create interactive and dynamic charts using vis.js. This can be especially beneficial for engineers working on data-driven applications, as it allows them to present complex data in a user-friendly and engaging manner.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to provide insights and recommendations to businesses. This course can help Data Analysts enhance their data visualization skills by teaching them how to create visually appealing and informative charts using vis.js. By mastering these techniques, they can effectively communicate their findings and support data-driven decision-making within an organization.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve operations. This course can help Business Analysts enhance their data visualization skills by teaching them how to create clear and persuasive charts using vis.js. These skills can be valuable for presenting complex business data and insights to stakeholders, aiding in decision-making and strategic planning.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of products. This course can help Product Managers build a foundation in data visualization by teaching them how to create charts that effectively convey product data and user insights. By mastering these skills, they can make informed decisions about product development, prioritize features, and track the success of their products.
Marketing Analyst
Marketing Analyst
Marketing Analysts analyze marketing campaigns and data to measure their effectiveness. This course can help Marketing Analysts enhance their data visualization skills by teaching them how to create visually appealing and informative charts using vis.js. By mastering these techniques, they can effectively communicate campaign results, identify trends, and make data-driven recommendations to improve marketing strategies.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course can help Financial Analysts build a foundation in data visualization by teaching them how to create clear and informative charts using vis.js. By mastering these skills, they can effectively communicate complex financial data, identify trends, and support investment decisions.
UX Designer
UX Designer
UX Designers design user interfaces and experiences for websites and applications. This course may be useful for UX Designers who want to enhance their understanding of data visualization techniques. By learning how to create clear and visually appealing charts using vis.js, UX Designers can improve the usability and effectiveness of their designs, ensuring that users can easily access and understand the information they need.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. This course may be useful for Web Developers who want to enhance their data visualization skills. By learning how to create interactive and dynamic charts using vis.js, Web Developers can add visually appealing and informative data visualizations to their web projects, improving the user experience and engagement.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights and make predictions. This course may be useful for Statisticians who want to enhance their data visualization skills. By learning how to create clear and visually appealing charts using vis.js, Statisticians can effectively communicate their findings and insights to a wide range of audiences, including researchers, policymakers, and business leaders.
Data Scientist
Data Scientist
Data Scientists analyze large datasets to extract insights and build predictive models. This course may be useful for Data Scientists who want to enhance their data visualization skills. By learning how to create interactive and dynamic charts using vis.js, Data Scientists can effectively communicate their findings and models to stakeholders, enabling better decision-making and strategic planning.
Market Researcher
Market Researcher
Market Researchers conduct research to understand market trends and consumer behavior. This course may be useful for Market Researchers who want to enhance their data visualization skills. By learning how to create clear and visually appealing charts using vis.js, Market Researchers can effectively communicate their findings and insights to clients, helping businesses make informed decisions about product development and marketing strategies.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and patterns of disease and injury in populations. This course may be useful for Epidemiologists who want to enhance their data visualization skills. By learning how to create clear and visually appealing charts using vis.js, Epidemiologists can effectively communicate their findings and insights to policymakers, public health officials, and the general public, enabling better decision-making and public health interventions.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. This course may be useful for Economists who want to enhance their data visualization skills. By learning how to create clear and visually appealing charts using vis.js, Economists can effectively communicate their findings and insights to policymakers, businesses, and the general public, enabling better decision-making and economic planning.
Journalist
Journalist
Journalists research, write, and report on news and current events. This course may be useful for Journalists who want to enhance their data visualization skills. By learning how to create clear and visually appealing charts using vis.js, Journalists can effectively communicate complex information and data to their audience, providing greater context and understanding of important issues and events.
For more career information including salaries, visit:
OpenCourser.com/course/6yqj42/build
Reading list
We've selected seven 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
Build Your First Data Visualization with vis.js.
Provides a practical guide to creating data visualizations for the web using JavaScript and HTML5, and it includes a chapter on using vis.js to create interactive charts.
Provides a practical guide to creating interactive data visualizations for the web using a variety of technologies, including JavaScript, D3, and vis.js.
Provides a comprehensive overview of data visualization principles and techniques, and it includes a chapter on using vis.js to create interactive charts.
Provides a comprehensive overview of data visualization techniques and tools using Qlik Sense, and it includes a chapter on using vis.js to create interactive charts.
Provides a comprehensive overview of data visualization techniques and tools using R, and it includes a chapter on using vis.js to create interactive charts.
Save
Provides a comprehensive overview of data visualization techniques and tools using ggplot2 in R, and it includes a chapter on using vis.js to create interactive charts.
Provides a comprehensive overview of data visualization techniques and tools using Tableau, and it includes a chapter on using vis.js to create interactive charts.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6yqj42/build
Share
Similar courses
Here are nine courses similar to
Build Your First Data Visualization with vis.js.
Answering Interesting Questions with Data
OpenCourser.com/course/z6eq63/answering
Answering Interesting Questions with Data
Most relevant
Architecting Data Warehousing Solutions Using Google BigQuery
OpenCourser.com/course/3divne/architecting
Architecting Data Warehousing Solutions Using Google...
Most relevant
Getting Started with Data Analysis Using Python 2
OpenCourser.com/course/b92oj5/getting
Getting Started with Data Analysis Using Python 2
Most relevant
Build Your First Data Visualization with NVD3
OpenCourser.com/course/smer5t/build
Build Your First Data Visualization with NVD3
Most relevant
Designing Data Visualizations
OpenCourser.com/course/6r9hac/designing
Designing Data Visualizations
Most relevant
Data Visualization in Python (Mplib, Seaborn, Plotly, Dash)
OpenCourser.com/course/aubove/data
Data Visualization in Python (Mplib, Seaborn, Plotly,...
Most relevant
Knowledge Graphs for RAG
OpenCourser.com/course/w7xbbx/knowledge
Knowledge Graphs for RAG
Most relevant
Creating Visualizations Using Base R Graphics
OpenCourser.com/course/dp33is/creating
Creating Visualizations Using Base R Graphics
Most relevant
Data Visualization with Python
OpenCourser.com/course/brlvwn/data
Data Visualization with Python
Time
53 hours
Level
Introductory
Via
Pluralsight
Instructor
Mike Van Sickle
Language
English
Good to know
Teaches how to use vis.js to create effective charts and add them to web applications
Helps to derive meaning from large datasets
Covers how to create 2D and 3D charts, timelines, and networks
Provides hands-on labs and interactive materials for practical experience
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser