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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
Read more
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
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/mlgcja/real
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What's inside
Syllabus
Introduction to node-red
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.
Good to know
Good to know
Know what's good ,
what to watch for , 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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Save Real-time data visualization dashboard using Node-red to your list so you can find it easily later:
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Reviews summary
Beginner's guide to node-red
Learners say that this introductory course in Node-RED is well received by learners. Learners appreciate that the course is practical.
The course is practical.
"Para ser un curso introductorio es bueno"
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
Show steps
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
Show steps
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
Show steps
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
Review openAQ API documentation
Show steps
Familiarize yourself with the openAQ API to prepare for working with real-time air quality data.
Show steps
Show steps
Show steps
- Read through the API reference documentation
- Explore the API's endpoints and parameters
Brush up on Node-RED basics
Show steps
Refresh your understanding of Node-RED's core concepts to prepare for the course.
Browse courses on
Node-Red
Show steps
Show steps
Show steps
- Review the Node-RED documentation
- Complete a beginner-friendly Node-RED tutorial
Create a simple Node-RED dashboard
Show steps
Apply your Node-RED skills by creating a custom dashboard that visualizes real-time data.
Browse courses on
Dashboard Creation
Show steps
Show steps
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 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.
Market Researcher
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.
Data Scientist
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.
Data Journalist
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.
Data Analyst
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.
Web Developer
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.
Epidemiologist
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.
Financial Analyst
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.
Product Manager
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.
Data Engineer
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.
Business Analyst
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.
UX Designer
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.
Risk 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.
Statistician
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.
Software Engineer
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.
For more career information including salaries, visit:
OpenCourser.com/course/mlgcja/real
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.
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.
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.
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.
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.
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.
Save
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mlgcja/real
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Good to know
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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