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

Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Query Languages, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis, Digital Transformation, R Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
99K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of London
Object Oriented Programming
Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Programming Principles, Debugging, Data Structures, Computer Programming, Program Development, Algorithms, Test Data, Data Validation, User Interface (UI), Unit Testing, Data Import/Export, Data Management, Command-Line Interface, Statistical Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
219 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Python Programming, Probability & Statistics, Data Structures, Predictive Modeling, Big Data, Data Visualization Software, Data Collection, Data Science, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
113K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Meta
Meta Web Development Fundamentals
Skills you'll gain: Django (Web Framework), Responsive Web Design, HTML and CSS, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Unit Testing, MySQL, Debugging, User Interface (UI), Web Development, Web Servers, Test Driven Development (TDD), Web Applications, Programming Principles
4.7
Rating, 4.7 out of 5 stars
16K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM IT Scrum Master
Skills you'll gain: Software Development Life Cycle, Software Architecture, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Software Design, Kanban Principles, Scrum (Software Development), Information Technology, Software Engineering, Computer Hardware, Agile Project Management, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing, Software Development Methodologies, Network Troubleshooting
4.8
Rating, 4.8 out of 5 stars
9.4K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
University of California San Diego
Object Oriented Programming in Java
Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), User Interface (UI), Computer Programming, Algorithms, Software Engineering, Data Structures, Software Documentation, Debugging
4.7
Rating, 4.7 out of 5 stars
5.8K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Amazon
Programming with Java
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java, File Management, Data Import/Export, Maintainability, Debugging, Software Development
4.2
Rating, 4.2 out of 5 stars
50 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Neural Networks and Deep Learning
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Performance Tuning, Calculus
4.9
Rating, 4.9 out of 5 stars
123K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Generative AI for Software Developers
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Code Review, Program Development, Software Architecture, Content Creation, Image Analysis
4.7
Rating, 4.7 out of 5 stars
6.8K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
IBM
AI Foundations for Everyone
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, Artificial Intelligence, OpenAI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Workflow Management, Deep Learning, Business Transformation, Artificial Neural Networks, Digital Transformation, Automation, Machine Learning, Application Deployment, Governance, IBM Cloud, Business Technologies, Program Development
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Approximation Algorithms and Linear Programming
Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
44 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Stanford University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks