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
Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Machine Learning Methods, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Version Control, Other Programming Languages, Query Languages
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Generative AI with Large Language Models
Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Applied Machine Learning, Scalability, Natural Language Processing, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric
4.8
Rating, 4.8 out of 5 stars
3.3K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
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
Status: Free Trial
IBM
IBM Data Warehouse Engineer
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Dashboard, Relational Databases, File Management, Star Schema
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Meta
Meta Database Engineer
Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, Stored Procedure, Object Oriented Programming (OOP), Unit Testing, Algorithms, Django (Web Framework)
4.6
Rating, 4.6 out of 5 stars
7.1K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Rice University
Parallel, Concurrent, and Distributed Programming in Java
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM Applied DevOps Engineering
Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Agile Software Development, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Code Coverage, OpenShift, Cloud Applications, Containerization, Agile Methodology, Behavior-Driven Development, DevOps, Secure Coding, Grafana, System Monitoring
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
7.2K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
HTML, CSS, and Javascript for Web Developers
Skills you'll gain: Cascading Style Sheets (CSS), HTML and CSS, Javascript, Ajax, Responsive Web Design, Bootstrap (Front-End Framework), Front-End Web Development, Web Design, Hypertext Markup Language (HTML), Web Design and Development, JSON, Web Applications, Web Development, Scripting, Usability, Cross Platform Development, Browser Compatibility, Event-Driven Programming, Object Oriented Programming (OOP), User Interface and User Experience (UI/UX) Design
4.7
Rating, 4.7 out of 5 stars
17K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Vanderbilt University
Prompt Engineering for ChatGPT
Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Generative AI, Artificial Intelligence, Large Language Modeling, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Application Development, Collaboration
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Beginner · Course · 1 - 3 Months