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  • Reactive Programming

Reactive Programming Courses

Reactive programming courses can help you learn asynchronous data streams, event-driven architecture, and the principles of reactive systems. You can build skills in handling real-time data, managing state changes, and implementing backpressure strategies. Many courses introduce tools like RxJava, Reactor, and Akka, that support building responsive applications and integrating with APIs. By exploring these topics, you’ll gain practical experience in creating applications that efficiently respond to user interactions and system events.


Popular Reactive Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    119 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Web Scraping with Python

    Skills you'll gain: Web Scraping, Extensible Markup Language (XML), HTML and CSS, Web Development, Unstructured Data, Web Applications, Python Programming

    3.1
    Rating, 3.1 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Java SE 17 Developer (1Z0-829)

    Skills you'll gain: Java, Transaction Processing, File I/O, Java Programming, Data Access, Object Oriented Design, Data Persistence, Stored Procedure, SQL, Integration Testing, Application Development, Command-Line Interface, Application Deployment, Data Integrity, Databases, Programming Principles, Application Programming Interface (API), Secure Coding, System Programming, Mitigation

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    Universidad de Palermo

    Introduction to Java

    Skills you'll gain: Eclipse (Software), Java, Java Programming, Object Oriented Programming (OOP), Integrated Development Environments, Data Structures, File I/O, Programming Principles, Algorithms, Computer Programming, Development Environment, Computational Thinking, Debugging, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Scalable Microservices for Developers

    Skills you'll gain: Microservices, Spring Boot, Spring Framework, IntelliJ IDEA, Java Programming, Restful API, Object Oriented Programming (OOP), Java, Application Programming Interface (API), Application Deployment, Software Architecture, API Design, Integrated Development Environments, Data Persistence, Scalability, Service Oriented Architecture, Web Applications, Application Frameworks, Software Testing, Object-Relational Mapping

    4.3
    Rating, 4.3 out of 5 stars
    ·
    63 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    28 reviews

    Advanced · Specialization · 3 - 6 Months

  • D

    Duke University

    Introduction to FastAPI framework

    Skills you'll gain: Web Frameworks, Restful API, Application Programming Interface (API), API Testing, Application Deployment, Software Documentation, Package and Software Management, JSON, Application Development, Server Side, Python Programming, Data Validation

    2.6
    Rating, 2.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Mastering the Software Engineering Interview

    Skills you'll gain: Growth Mindedness, Technical Communication, Adaptability, Algorithms, Overcoming Obstacles, Software Engineering, Verbal Communication Skills, Interpersonal Communications, Communication, Problem Solving, Self-Awareness, Collaboration, Complex Problem Solving, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
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    555 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data Visualization with Plotly Express

    Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    269 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    62 reviews

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular reactive programming courses

  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Web Scraping with Python: Duke University
  • Java SE 17 Developer (1Z0-829): Pearson
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Introduction to Java: Universidad de Palermo
  • Scalable Microservices for Developers: Vanderbilt University
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • Introduction to FastAPI framework: Duke University
  • Mastering the Software Engineering Interview: University of California San Diego
  • Data Visualization with Plotly Express: Coursera

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