What is reactive programming?

Reactive programming is a micro-architecture style of programming that deals with asynchronous data streams—sequences of events represented via data streams that are emitted with delays between them. It's a programming model that was originally introduced to the IT world in the 1970s . It has become popular again as a tool for developing web applications and mobile apps and improving the user experience. It's centered around the flow of data and the generation of change utilizing streams of data like failures, messages, calls, and events, all of which can be used to create your coding.

What are the benefits of learning reactive programming?

Benefits of learning reactive programming include creating a more interactive experience for users in addition to giving you a more readable codebase, simple-to-compose data streams, and the ability to get your application to market faster. Learning reactive programming makes it easier to predict coding, giving you simpler updates and modifications. It's also more efficient and stable when handling large volumes of data, which delivers improved performance. That's particularly important if you're creating a multi-user application or strategizing a solution for an existing high-load app. This includes social networks, chat applications, audio and video apps, and games.

What career opportunities arise from learning reactive programming?

Common careers that use reactive programming skills include programmer, platform manager, product support specialist, and application developer, among others. It's a useful skill for anyone working with application development and interested in creating server code with an interactive user interface. Demand for workers with stellar skills in this area is high. You might work for a company like LinkedIn, or you could be an entrepreneur with your own technology startup. It's a particularly useful skill if you work with Java and are developing projects intended to deliver outstanding user experiences.

How can online courses help me learn reactive programming?

Online courses give you a thorough understanding of everything from the basics, like responsive web design and HTML, to advanced subjects like data visualization and animation. In addition to online classroom learning, you'll complete applied learning projects that give you a chance to gain practical experience that you can add to your portfolio. By completing your courses online, you'll gain the knowledge and skills you need to switch careers or advance in your field while enjoying a flexible, self-paced schedule.

What are the benefits of taking an online Reactive Programming course?

Online Reactive Programming courses offer a convenient and flexible way to enhance your knowledge or learn new Reactive Programming skills. Choose from a wide range of Reactive Programming courses offered by top universities and industry leaders tailored to various skill levels.

What Reactive Programming courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Reactive Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Reactive Programming Courses - Learn Reactive Programming Online

Explore the Reactive Programming Course Catalog

Scrimba
Become a Professional React Developer
Skills you'll gain: React.js, Unit Testing, Test Driven Development (TDD), Debugging, Development Testing, Application Programming Interface (API), Jest (JavaScript Testing Framework), Web Content Accessibility Guidelines, UI Components, Performance Tuning, Routing Protocols, Restful API, Front-End Web Development, User Interface (UI), JavaScript Frameworks, Web Development Tools, Software Design Patterns, Authentications, Javascript, User Interface and User Experience (UI/UX) Design
4.7
Rating, 4.7 out of 5 stars
213 reviews
Intermediate · Specialization · 3 - 6 Months
IBM
JavaScript Programming with React, Node & MongoDB
Skills you'll gain: Node.JS, Server Side, MongoDB, React Redux, NoSQL, Restful API, React.js, Back-End Web Development, Front-End Web Development, JavaScript Frameworks, Ajax, Javascript, UI Components, Full-Stack Web Development, Application Deployment, Data Structures, Authentications, Debugging, Cloud Applications, JSON
4.4
Rating, 4.4 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
IBM
IBM AI Engineering
Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Jupyter, Unsupervised Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
20K reviews
Intermediate · Professional Certificate · 3 - 6 Months
University of California, Santa Cruz
C and Go: Classical and Modern Programming
Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Computer Science, Software Testing, Computational Thinking, File Management, Integration Testing, Software Technical Review, System Programming
4.5
Rating, 4.5 out of 5 stars
7.1K reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Python for Everybody
Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
277K reviews
Beginner · Specialization · 3 - 6 Months
University of California, Irvine
An Introduction to Programming the Internet of Things (IOT)
Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, Development Testing, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments
4.7
Rating, 4.7 out of 5 stars
20K reviews
Beginner · Specialization · 3 - 6 Months
Meta
React Basics
Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, UI Components, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Development Environment, Hypertext Markup Language (HTML), Data Management, Debugging
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Beginner · Course · 1 - 4 Weeks
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Professional Certificate · 3 - 6 Months
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
4.9
Rating, 4.9 out of 5 stars
27K reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Python Data Structures
Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation
4.9
Rating, 4.9 out of 5 stars
96K reviews
Beginner · Course · 1 - 3 Months
IBM
Tools for Data Science
Skills you'll gain: Jupyter, R Programming, Computer Programming Tools, GitHub, Data Visualization Software, Data Analysis Software, Data Science, IBM Cloud, Statistical Programming, Git (Version Control System), Application Programming Interface (API), Other Programming Languages, Development Environment, Python Programming, SQL
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
University of California, Irvine
Programming with Google Go
Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Algorithms, JSON, OS Process Management, Distributed Computing, Data Structures, Data Import/Export, System Programming, Development Environment, Software Design, Programming Principles, Remote Access Systems, Computer Programming, Operating Systems, File Management, Program Development
4.6
Rating, 4.6 out of 5 stars
2.9K reviews
Intermediate · Specialization · 3 - 6 Months