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
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Meta
Programming in Python
Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California, Santa Cruz
C for Everyone: Programming Fundamentals
Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms
4.5
Rating, 4.5 out of 5 stars
6.6K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
IBM DevOps and Software Engineering
Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), Git (Version Control System), DevOps, Jupyter, Grafana
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
60K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Developing Mobile Apps with React Native
Skills you'll gain: React Native, Flutter (Software), Mobile Development, React Redux, React.js, Front-End Web Development, JavaScript Frameworks, Ajax, Cross Platform Development, Javascript, Apple iOS, UI Components, Data Structures, Back-End Web Development, Debugging, iOS Development, User Story, Full-Stack Web Development, Web Applications, Android Development
4.4
Rating, 4.4 out of 5 stars
809 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM AI Developer
Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Software Design Patterns, Agile Methodology, Bootstrap (Front-End Framework), Application Deployment, Automation, Interviewing Skills, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
69K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Big Data, Jupyter, Matplotlib, Statistical Analysis, Pandas (Python Package), IBM Cognos Analytics, Excel Formulas, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
92K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting Languages, Scripting, Computational Thinking, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Jupyter, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Professional Networking, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Statistical Machine Learning, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
6.3K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Data Analysis with R Programming
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures
4.8
Rating, 4.8 out of 5 stars
11K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Meta
Meta React Native
Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface and User Experience (UI/UX) Design, User Interface (UI), User Experience, Mobile Development, Design Research, React.js, Javascript
4.6
Rating, 4.6 out of 5 stars
11K reviews
Beginner · Specialization · 3 - 6 Months