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Roland Guijt
A picture is worth a thousand words. This course will teach you chart.js, a JavaScript library to create data visualizations in a straightforward manner.
Read more
A picture is worth a thousand words. This course will teach you chart.js, a JavaScript library to create data visualizations in a straightforward manner.
Read more
A picture is worth a thousand words. This course will teach you chart.js, a JavaScript library to create data visualizations in a straightforward manner.
Drawing charts by hand in JavaScript is error prone and tedious, there’s a great library for that called chart.js. In this course, Build Your First Data Visualization with Chart.js, you’ll learn to create a multitude of chart types with minimal effort. First, you’ll explore how to create a simple chart. Next, you’ll discover the different types of charts chart.js offers. Finally, you’ll learn how to customize the visualizations. When you’re finished with this course, you’ll have the skills and knowledge of creating good looking data visualizations needed to entice your users.
Register for this course and see more details by visiting:
OpenCourser.com/course/om94d0/build
What's inside
Syllabus
Course Overview
Visualizing Data with Chart.js
Customizing Chart.js Visualizations
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a straightforward approach to creating data visualizations, making it accessible to a broader audience
Develops foundational knowledge and skills in data visualization with chart.js, preparing learners for further exploration in the field
Covers a variety of chart types, equipping learners with the versatility to represent data effectively
Emphasizes customization, enabling learners to tailor visualizations to specific requirements and enhance data storytelling
Provides hands-on experience through examples and exercises, reinforcing learning and promoting practical application
Save this course
Save Build Your First Data Visualization with Chart.js 2 to your list so you can find it easily later:
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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 Chart.js 2 with these
activities:
Review the basics of JavaScript
Show steps
Reviewing the basics of JavaScript will help you prepare for this course, which uses JavaScript to create data visualizations.
Browse courses on
JavaScript
Show steps
-
Go over your notes from a previous JavaScript course.
-
Take a practice quiz on JavaScript basics.
Watch tutorials on chart.js
Show steps
Watching tutorials will help you learn the basics of chart.js and how to use it to create data visualizations.
Browse courses on
Chart.js
Show steps
-
Find tutorials on YouTube or other online resources.
-
Watch the tutorials and take notes.
-
Try out the examples in the tutorials.
Join a study group for this course
Show steps
Joining a study group will help you stay motivated and learn from others.
Show steps
-
Find a study group to join.
-
Attend study group meetings regularly.
-
Participate in discussions and ask questions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a variety of charts using chart.js
Show steps
Creating a variety of charts will help you practice using chart.js and learn how to create different types of visualizations.
Browse courses on
Chart.js
Show steps
-
Choose a dataset to visualize.
-
Create a chart using chart.js.
-
Customize the chart to your liking.
-
Repeat steps 1-3 for different types of charts.
Create a collection of resources on chart.js
Show steps
Creating a collection of resources on chart.js will help you learn more about the library and how to use it effectively.
Browse courses on
Chart.js
Show steps
-
Find resources on chart.js, such as tutorials, articles, and documentation.
-
Organize the resources into a collection.
-
Share your collection with others.
Attend a meetup or conference on data visualization
Show steps
Attending a meetup or conference will help you learn about the latest trends in data visualization and network with other professionals.
Show steps
-
Find a meetup or conference on data visualization.
-
Attend the event.
-
Network with other attendees.
Create a data visualization dashboard using chart.js
Show steps
Creating a data visualization dashboard will help you learn how to use chart.js to create interactive and informative data visualizations.
Browse courses on
Chart.js
Show steps
-
Choose a dataset to visualize.
-
Design the layout of your dashboard.
-
Create charts using chart.js.
-
Add interactivity to your dashboard.
-
Deploy your dashboard online.
Review the basics of JavaScript
Show steps
Reviewing the basics of JavaScript will help you prepare for this course, which uses JavaScript to create data visualizations.
Browse courses on
JavaScript
Show steps
Show steps
Show steps
- Go over your notes from a previous JavaScript course.
- Take a practice quiz on JavaScript basics.
Watch tutorials on chart.js
Show steps
Watching tutorials will help you learn the basics of chart.js and how to use it to create data visualizations.
Browse courses on
Chart.js
Show steps
Show steps
Show steps
- Find tutorials on YouTube or other online resources.
- Watch the tutorials and take notes.
- Try out the examples in the tutorials.
Join a study group for this course
Show steps
Joining a study group will help you stay motivated and learn from others.
Show steps
Show steps
Show steps
- Find a study group to join.
- Attend study group meetings regularly.
- Participate in discussions and ask questions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a variety of charts using chart.js
Show steps
Creating a variety of charts will help you practice using chart.js and learn how to create different types of visualizations.
Browse courses on
Chart.js
Show steps
Show steps
Show steps
- Choose a dataset to visualize.
- Create a chart using chart.js.
- Customize the chart to your liking.
- Repeat steps 1-3 for different types of charts.
Create a collection of resources on chart.js
Show steps
Creating a collection of resources on chart.js will help you learn more about the library and how to use it effectively.
Browse courses on
Chart.js
Show steps
Show steps
Show steps
- Find resources on chart.js, such as tutorials, articles, and documentation.
- Organize the resources into a collection.
- Share your collection with others.
Attend a meetup or conference on data visualization
Show steps
Attending a meetup or conference will help you learn about the latest trends in data visualization and network with other professionals.
Show steps
Show steps
Show steps
- Find a meetup or conference on data visualization.
- Attend the event.
- Network with other attendees.
Create a data visualization dashboard using chart.js
Show steps
Creating a data visualization dashboard will help you learn how to use chart.js to create interactive and informative data visualizations.
Browse courses on
Chart.js
Show steps
Show steps
Show steps
- Choose a dataset to visualize.
- Design the layout of your dashboard.
- Create charts using chart.js.
- Add interactivity to your dashboard.
- Deploy your dashboard online.
Career center
Learners who complete Build Your First Data Visualization with Chart.js 2 will develop knowledge and skills
that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They may analyze data to identify trends, develop forecasts, and create reports. This course may be useful for Business Intelligence Analysts as it can teach them how to visualize data in a way that makes it easy to understand. This can help Business Intelligence Analysts to communicate their findings to stakeholders more effectively.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in various industries. They may develop models to optimize processes, improve efficiency, or reduce costs. This course may be useful for Operations Research Analysts as it can teach them how to visualize data in a way that makes it easy to understand. This can help Operations Research Analysts to communicate their findings to stakeholders more effectively.
Data Scientist
Data Scientist
Data Scientists use advanced statistical techniques to analyze data and solve complex problems. They may also develop machine learning models to automate tasks. This course may be helpful for Data Scientists as it can teach them how to visualize data in a way that makes it easy to understand. This can help Data Scientists to identify trends and patterns more easily.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about consumers and markets. They may use this data to develop marketing campaigns and strategies. This course may be useful for Market Researchers as it can teach them how to visualize data in a way that makes it easy to understand. This can help Market Researchers to communicate their findings to stakeholders more effectively.
Statistician
Statistician
Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. They may work in various industries, such as research, government, and business. This course may be useful for Statisticians as it can teach them how to visualize data in a way that makes it easy to understand. This can help Statisticians to communicate their findings to stakeholders more effectively.
Data Analyst
Data Analyst
Data Analysts typically sift through large datasets to find trends. They may also use this data to develop predictive models. This course may be useful for Data Analysts as it can teach them how to visualize data in a way that makes it easy to understand. This can help Data Analysts to identify trends and patterns more easily.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. They may work on a variety of projects, such as data warehouses, data pipelines, and data lakes. This course may be useful for Data Engineers as it can teach them how to visualize data in a way that makes it easy to understand. This can help Data Engineers to debug code, identify performance bottlenecks, and communicate their findings to stakeholders more effectively.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and spread of diseases. They may use data to track outbreaks, identify risk factors, and develop prevention strategies. This course may be useful for Epidemiologists as it can teach them how to visualize data in a way that makes it easy to understand. This can help Epidemiologists to communicate their findings to stakeholders more effectively.
Biostatistician
Biostatistician
Biostatisticians use statistical techniques to analyze data in the field of healthcare and medicine. They may work with researchers to design studies, analyze data, and interpret results. This course may be useful for Biostatisticians as it can teach them how to visualize data in a way that makes it easy to understand. This can help Biostatisticians to communicate their findings to stakeholders more effectively.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They may work in various industries, such as insurance, finance, and healthcare. This course may be useful for Actuaries as it can teach them how to visualize data in a way that makes it easy to understand. This can help Actuaries to communicate their findings to stakeholders more effectively.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate and make recommendations on investments. They may also develop financial models to forecast future performance. This course may be useful for Financial Analysts as it can teach them how to visualize data in a way that makes it easy to understand. This can help Financial Analysts to identify trends and patterns more easily.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They may work on a variety of projects, such as web applications, mobile apps, and enterprise software. This course may be useful for Software Engineers as it can teach them how to visualize data in a way that makes it easy to understand. This can help Software Engineers to debug code, identify performance bottlenecks, and communicate their findings to stakeholders more effectively.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify areas for improvement. They may work on a variety of projects, such as developing new products, improving customer service, and reducing costs. This course may be useful for Business Analysts as it can teach them how to visualize data in a way that makes it easy to understand. This can help Business Analysts to communicate their findings to stakeholders more effectively.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They may work on a variety of projects, such as designing database schemas, optimizing database performance, and recovering data from backups. This course may be useful for Database Administrators as it can teach them how to visualize data in a way that makes it easy to understand. This can help Database Administrators to identify performance bottlenecks and communicate their findings to stakeholders more effectively.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. They may work on a variety of projects, such as e-commerce websites, social media platforms, and online games. This course may be useful for Web Developers as it can teach them how to visualize data in a way that makes it easy to understand. This can help Web Developers to debug code, identify performance bottlenecks, and communicate their findings to stakeholders more effectively.
For more career information including salaries, visit:
OpenCourser.com/course/om94d0/build
Reading list
We've selected 11 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 Chart.js 2.
Classic in the field of data visualization. It provides a framework for understanding and creating effective data visualizations. This book is recommended for those who want to develop a deeper understanding of the principles of data visualization.
Provides a comprehensive introduction to JavaScript, including topics such as data structures, algorithms, and functional programming. It useful resource for those who want to improve their understanding of JavaScript, which is essential for working with Chart.js.
Save
Provides a comprehensive introduction to data visualization with Chart.js. It covers various chart types, customization techniques, and best practices. This book good complement to the course, especially for beginners who want to gain a deeper understanding of Chart.js and data visualization principles.
Save
Provides practical guidance on creating clear and effective data visualizations. It covers topics such as data storytelling, visual perception, and ethical considerations. This book is recommended for those who want to improve their understanding of the art and science of data visualization.
Focuses on using data visualization to communicate insights and tell stories. It is particularly useful for those who want to create visualizations that engage audiences and drive decision-making.
Provides a comprehensive overview of data visualization principles and best practices. It covers topics such as visual perception, chart types, and data storytelling. This book is helpful for gaining a deeper understanding of the principles behind effective data visualization.
Introduces data visualization using Python, including the use of popular libraries like Matplotlib, Seaborn, and Plotly. While it is not specific to Chart.js, it provides a good foundation for understanding the principles of data visualization and working with different tools.
Save
Provides a practical guide to using the Highcharts library for data visualization. While it is not specific to Chart.js, it offers insights into the concepts and techniques involved in creating interactive and customizable visualizations.
Provides a broader perspective on data visualization using JavaScript, including Chart.js. It covers various techniques, including creating charts, maps, and dashboards. This book is useful as a reference for different approaches to data visualization and best practices.
Focuses on D3.js, a powerful data visualization library for JavaScript. While it is not directly related to Chart.js, it provides a deeper understanding of data visualization techniques and principles. This book is recommended for those who want to expand their knowledge of data visualization and explore other libraries.
Save
Introduces the Tableau data visualization tool. While it is not specific to Chart.js, it provides a useful overview of the concepts and techniques involved in data visualization. This book is recommended for those who want to explore different data visualization tools and platforms.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/om94d0/build
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Time
38 hours
Level
Introductory
Via
Pluralsight
Instructor
Roland Guijt
Language
English
Good to know
Provides a straightforward approach to creating data visualizations, making it accessible to a broader audience
Develops foundational knowledge and skills in data visualization with chart.js, preparing learners for further exploration in the field
Covers a variety of chart types, equipping learners with the versatility to represent data effectively
Emphasizes customization, enabling learners to tailor visualizations to specific requirements and enhance data storytelling
Provides hands-on experience through examples and exercises, reinforcing learning and promoting practical application
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