Chart.js course curriculum

A Chart.js tutorial may cover the basics of Chart.js and visualization libraries, including how to build workable charts. Courses may also present Chart.js examples and explain how to use other charting libraries such as the JavaScript chart library and HTML5 charts. 

A Chart.js class can prepare developers to work professionally with building custom visualizations and incorporating them into websites. Chart.js courses could be an excellent way to learn these skills and how to integrate them in a professional scope. 

A Chart.js course may teach you how to:^{Footnote 2}

• Work with JavaScript libraries 

• Install Chart.js

• Utilize different types of data visualizations available through Chart.js

• Create charts from scratch with Chart.js

• Load data into a Chart.js graph

• Customize Chart.js chart configurations

• Integrate Chart.js charts with front-end frameworks

Explore jobs that use Chart.js 

Jobs that use Chart.js may require strong knowledge of coding languages and web frameworks, such as JavaScript and Angular. Experience in computer science, front-end development, or data visualization could also be a sought after skill for professionals in this space. 

Some professions that may use Chart.js in their work include: 

• Data scientist: Analyze and interpret data to extract insights and optimize business operations. They can be found working in multiple industries, including healthcare, banking, government, e-commerce, higher education, and beyond. Data scientists may use Chart.js or other visualization software to demonstrate findings to other team members.^{Footnote 3}

• Market research analyst: Gather data to analyze market trends, consumer preferences, and business conditions. They use these findings to develop informed business or marketing strategies. A market research analyst could use Chart.js to convert findings into interpretable tables or graphs.^{Footnote 4}

• Web or application developer: Create and maintain websites, along with managing a website’s technical aspects and creating content for pages. Web developers use front-end technology to optimize layout and UI. They might use Chart.js to create interactive or non-interactive models on user-facing web or mobile applications.^{Footnote 5}

Are you interested in developing the skills you need for your next career? Explore the different educational offerings delivered through edX. Sign up for a specialized boot camp or enroll in a variety of degree programs, including a bachelor's degree program as well as a master’s degree program. Find the right educational pathway for you. 

How to use Chart.js as a data scientist

Chart.js is compatible with popular JavaScript frameworks, such as React, Vue, and Angular. This allows for native integration with a variety of web applications. Additionally, chart elements are rendered on an HTML5 canvas, instead of SVG, improving performance for large datasets.^{Footnote 6}

This widespread compatibility and efficiency for use with big data makes Chart.js a great option for data scientists. Data scientists could use Chart.js to visualize findings from large datasets and create interactive graphs or charts for presentation. Their research helps identify pain points and growth opportunities in order to boost the efficiency of an app, website, or company at-large.^{Footnote 7}

If you are interested in adding new skills to your résumé, explore how online learning opportunities such as a coding boot camp or even a bachelor’s degree in computer science can help you build the expertise and experience you need to pursue roles in this field.