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Real-time data visualization dashboard using Node-red

Ahmad Varasteh

At the end of this project you are going learn how to create an real-time data visualization dashboard using node-red. so in this project we are going to use openAQ API which is an open source API sharing real-time air quality data related to different cities around the globe. we are going to fetch this

data, preprocess it and visualize it using node-red. Therefor, as a very important prerequisite you should have a basic knowledge of node-red. if you don’t have any experience using node-red I recommend to attend my guided project course on introduction to node-red on Coursera.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Builds a strong foundation for beginners in using node-red and openAQ for data visualization
Specifically covers using node-red for real-time data visualization
May be ideal for those who want to learn how to use openAQ API for air quality data
May be less suitable for those with no prior experience in node-red
Course instructor, Ahmad Varasteh, is not widely recognized for their work in this field

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Reviews summary

Node-red real-time dashboard project

According to learners, this course offers a highly practical and hands-on experience in building a real-time data visualization dashboard using Node-RED. Students frequently highlight the clarity of instruction and the immediate applicability of skills gained, making it an excellent follow-up to foundational Node-RED courses. However, a significant number of reviews emphasize the critical importance of having basic Node-RED knowledge beforehand, as the course maintains a fast pace and does not cover fundamentals. Some older reviews noted minor issues with evolving APIs, though this appears less prevalent in recent feedback.
External API changes may necessitate minor, self-driven adjustments.
"Some minor issues with API changes since the course was made, but easily fixable."
"The course content is good, but it requires continuous updates as APIs evolve. I faced issues with OpenAQ data fetching due to changes."
The instructor provides clear explanations, though the pace can be quick.
"The instructor was excellent and explained everything clearly."
"The instructor explains things well, but sometimes moves a bit fast."
"The instructor's guidance was mostly clear."
"The pace was a bit fast for me. The concept is cool, but the execution assumes a bit too much prior knowledge."
A highly practical course that builds a functional real-time dashboard.
"This project was fantastic! It provided a clear, step-by-step guide to building a real-time dashboard."
"Excellent practical application of Node-RED. I particularly liked how we worked with a real API and saw the data flow in real-time."
"The hands-on coding and projects are the strongest part of the course for me. It's very focused and gets straight to the point."
"I learned so much about connecting to APIs and creating interactive dashboards; this skill is directly applicable to my job."
Success hinges on having foundational Node-RED knowledge prior to starting.
"Absolutely useless if you don't know Node-RED well. I took it thinking I could pick it up, but it's not for beginners."
"I struggled a bit because I didn't have enough Node-RED experience. Even though it said it's a prerequisite, I thought I could catch up."
"It assumes a lot of prior Node-RED knowledge which I lacked. I wish there was more foundational material or a slower pace."

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 Real-time data visualization dashboard using Node-red with these activities:
Review openAQ API documentation
Familiarize yourself with the openAQ API to prepare for working with real-time air quality data.
Show steps
  • Read through the API reference documentation
  • Explore the API's endpoints and parameters
Brush up on Node-RED basics
Refresh your understanding of Node-RED's core concepts to prepare for the course.
Browse courses on Node-Red
Show steps
  • Review the Node-RED documentation
  • Complete a beginner-friendly Node-RED tutorial
Create a simple Node-RED dashboard
Apply your Node-RED skills by creating a custom dashboard that visualizes real-time data.
Browse courses on Dashboard Creation
Show steps
  • Design the layout and widgets for your dashboard
  • Use Node-RED nodes to connect to data sources and build the dashboard
  • Deploy your dashboard and share it with others
Show all three activities

Career center

Learners who complete Real-time data visualization dashboard using Node-red will develop knowledge and skills that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analysts are responsible for creating visualizations that communicate data in a clear and concise way. They work with data analysts and scientists to identify the most important insights from data. This course would be a useful addition for aspiring Data Visualization Analysts as it covers a range of techniques for visualizing data. This course will also provide a strong foundation of real-time data visualization, which is a critical skill for professionals in this field.
See salaries and explore the career path for Data Visualization Analyst
Market Researcher
Market Researchers gather and analyze data about markets and consumers. They use this data to help businesses make informed decisions about product development, marketing, and sales. This course would be a useful addition for aspiring Market Researchers as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Market Researchers who need to communicate their findings to stakeholders. Furthermore, this course will provide a strong foundation of real-time data visualization, a critical component for modern market research.
See salaries and explore the career path for Market Researcher
Data Scientist
Data Scientists are responsible for utilizing data to address business problems. This course would be advantageous to those looking to enter this field, as data visualization forms an essential component of a Data Scientist's role. Particularly useful insights in this course include a thorough breakdown of real-time data visualization.
See salaries and explore the career path for Data Scientist
Web Developer
Web Developers specialize in developing websites and applications. This course would be useful for aspiring Web Developers, as it provides a deep look at real-time data visualization, which is an increasingly in-demand skill for front-end development.
See salaries and explore the career path for Web Developer
Epidemiologist
Epidemiologists investigate the causes of disease and other health problems. They use data to identify risk factors and develop strategies to prevent and control disease. This course would be a useful addition for aspiring Epidemiologists as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Epidemiologists who need to communicate their findings to public health officials and the general public.
See salaries and explore the career path for Epidemiologist
Data Analyst
A Data Analyst plays an integral role in understanding how data can be leveraged in order to make informed business decisions. This course would be a helpful addition for those aspiring for this role, as it comprehensively covers data visualization techniques. Visualizing data in a way that is easy to understand is paramount to an organization making the correct choice for its business.
See salaries and explore the career path for Data Analyst
Data Journalist
Data Journalists use data to tell stories and inform the public. They work with data analysts and scientists to identify the most important insights from data. This course would be useful to aspiring Data Journalists as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Data Journalists who need to communicate their findings to the general public.
See salaries and explore the career path for Data Journalist
Statistician
Statisticians use data to solve problems and make informed decisions. They work with a variety of data sources, including surveys, experiments, and observational studies. This course would be useful to aspiring Statisticians as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Statisticians who need to communicate their findings to clients and stakeholders.
See salaries and explore the career path for Statistician
Data Engineer
The role of a Data Engineer is to maintain and improve the quality of data within an organization. This course in particular is helpful as it gives a comprehensive insight into how data can be visualized in order to be useful. A Data Engineer can make recommendations on how to best leverage this data once it is visualized.
See salaries and explore the career path for Data Engineer
Business Analyst
Business Analysts work with stakeholders to identify and document business needs. They use various techniques to analyze and interpret data in order to make recommendations. This course would be a useful addition for aspiring Business Analysts as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Business Analysts who need to communicate their findings to stakeholders.
See salaries and explore the career path for Business Analyst
Product Manager
Product Managers are responsible for planning, developing, and launching new products. They work with engineers, designers, and marketers to ensure that products meet the needs of users. This course would be useful for aspiring Product Managers as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Product Managers who need to communicate their product vision to stakeholders.
See salaries and explore the career path for Product Manager
UX Designer
UX Designers are responsible for designing the user experience of products. They work with engineers and product managers to ensure that products are easy to use and enjoyable. This course would be useful for aspiring UX Designers as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for UX Designers who need to communicate their design ideas to stakeholders.
See salaries and explore the career path for UX Designer
Financial Analyst
Financial Analysts use data to evaluate investments and make recommendations to clients. They work with a variety of data sources, including financial statements, economic data, and market data. This course would be a useful addition for aspiring Financial Analysts as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Financial Analysts who need to communicate their findings to clients.
See salaries and explore the career path for Financial Analyst
Risk Analyst
Risk Analysts identify and assess risks to businesses and organizations. They use data to develop strategies to mitigate risks and protect assets. This course would be useful to aspiring Risk Analysts as it covers techniques for visualizing data in a way that is easy to understand. This is an essential skill for Risk Analysts who need to communicate their findings to senior management.
See salaries and explore the career path for Risk Analyst
Software Engineer
Software Engineers are responsible for developing software applications, from design to development to implementation. This course can be useful for aspiring Software Engineers as it provides exposure to the front-end aspects of development. Especially useful in this course is a detailed breakdown of dashboard creation.
See salaries and explore the career path for Software Engineer

Reading list

We've selected ten 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 Real-time data visualization dashboard using Node-red.
Cover image
A Million And One Random Digits
Save
Classic guide to writing clean and maintainable JavaScript code. While it may not directly relate to Node-RED dashboards, it provides valuable insights into JavaScript best practices.
A Million And One Random Digits
Paperback
Check
A Million And One Random Digits
Kindle Edition
Check
Cover image
Practical Node.js
Save
Covers advanced Node.js concepts and techniques, such as scalability, performance optimization, and security. It is suitable for learners with some Node.js experience who want to build robust and efficient web applications.
Practical Node.js
Paperback
Check
Practical Node.js
Kindle Edition
Check
Cover image
Modern Data Visualization with R
Save
Covers data visualization techniques using the R programming language, which can provide additional insights into data analysis and visualization beyond what is covered in this course.
Modern Data Visualization with R
Paperback
Check
Modern Data Visualization with R
Kindle Edition
Check
Cover image
Node.js Design Patterns
Save
Presents reusable design patterns for building scalable and maintainable Node.js applications. By understanding and applying these patterns, users can improve the architecture and efficiency of their Node-RED dashboards.
Node.js Design Patterns - Third edition: Design and...
Paperback
$$
Node.js Design Patterns - Second Edition: Master...
Kindle Edition
$$
Cover image
Node.js in Action
Save
Covers the fundamental concepts and best practices of Node.js development, including asynchronous programming, data handling, and web application development. While it does not focus on Node-RED or IoT applications, it provides a strong foundation for understanding the underlying technologies.
Node.js in Action
Paperback
$$
Cover image
Practical ES6
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Covers a wide range of best practices for Node.js development, including coding style, error handling, performance optimization, and security. It valuable reference for learners who want to improve the quality and maintainability of their Node.js applications.
Practical ES6
Paperback
Check
Practical ES6
Kindle Edition
Check
Cover image
High Performance Browser Networking
Save
Covers the technical details of browser networking, including performance optimization techniques and best practices. It provides valuable insights for understanding how to optimize the delivery of data to Node-RED dashboards.
High Performance Browser Networking: What every web...
Paperback
$$
(中文) Web性能权威指南 (图灵程序设计丛书) (Chinese Edition)
Kindle Edition
$
Cover image
Node.js Web Development
Save
Teaches how to build web applications using Node.js and Express.js. While it does not cover Node-RED or IoT applications, it provides a solid foundation for understanding the backend development aspects of Node.js.
Node.js Web Development - Fifth Edition: Server...
Paperback
$$
Node.js Web Development - Fourth Edition: Server...
Paperback
$$
Node.js Web Development - Third Edition: Create...
Paperback
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Node.js Web Development: Server-side web...
Kindle Edition
$$
Node.js Web Development: Server-side development...
Kindle Edition
$$
Node.js Web Development: Create real-time server...
Kindle Edition
$$
Cover image
Node.js Complete Reference Guide
Save
Covers the basics of Node.js web development, including HTTP request handling, templating, and data persistence. While it may not directly relate to Node-RED dashboards, it provides a foundation for understanding the underlying principles of web applications.
Node.js Complete Reference Guide
Paperback
Check
Node.js Complete Reference Guide
Kindle Edition
Check
Cover image
Secret Colors
Save
Provides a comprehensive overview of data-intensive applications and architectures. While it may not be directly related to this course, it offers valuable insights into the challenges and techniques involved in handling and processing large amounts of data.
Secret Colors
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Secret Colors
Kindle Edition
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Course image
Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Builds a strong foundation for beginners in using node-red and openAQ for data visualization
Specifically covers using node-red for real-time data visualization
May be ideal for those who want to learn how to use openAQ API for air quality data
May be less suitable for those with no prior experience in node-red
Course instructor, Ahmad Varasteh, is not widely recognized for their work in this field
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