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

Vanderbilt University
Introduction to Programming with MATLAB
Skills you'll gain: Matlab, Computer Programming, Programming Principles, UI Components, Software Design, Debugging, Mathematical Software, Development Environment, Computer Science, File Management, Algorithms, Data Import/Export, Data Structures, Engineering Calculations, Plot (Graphics), Data Management
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
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
Google
Google IT Automation with Python
Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Scripting, Network Troubleshooting, Web Services, Python Programming, Restful API, Programming Principles
4.7
Rating, 4.7 out of 5 stars
48K reviews
Advanced · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
Duke University
Java Programming: Solving Problems with Software
Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing
4.6
Rating, 4.6 out of 5 stars
8K reviews
Beginner · Course · 1 - 3 Months
IBM
Applied Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)
4
Rating, 4 out of 5 stars
201 reviews
Beginner · Specialization · 3 - 6 Months
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
University of California, Santa Cruz
C, Go, and C++: A Comprehensive Introduction to Programming
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, Graph Theory
4.5
Rating, 4.5 out of 5 stars
9.4K reviews
Intermediate · Specialization · 3 - 6 Months
Duke University
Data Analysis with R
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy
4.7
Rating, 4.7 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Princeton University
Computer Science: Programming with a Purpose
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Course · 1 - 3 Months
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Other Programming Languages
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months