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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


  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Querying Databases Using SQL SELECT statement

    Skills you'll gain: SQL, Query Languages, Database Management, PostgreSQL, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Introduction to APIs in Google

    Skills you'll gain: Cloud API, JSON, Restful API, Application Programming Interface (API), Google Cloud Platform, Authentications, Network Protocols

    3.2
    Rating, 3.2 out of 5 stars
    ·
    26 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub

    3.3
    Rating, 3.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    تمثيل البيانات رسومياً باستخدام بايثون - Data Visualization

    Skills you'll gain: Plot (Graphics), Data Visualization, Graphing, Matplotlib, Data Visualization Software, Graphical Tools, Histogram, Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    TypeScript String Properties and Methods

    Skills you'll gain: TypeScript, Scripting, Scripting Languages, Programming Principles

    4.4
    Rating, 4.4 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Java Built in Data Structures

    Skills you'll gain: Data Preprocessing, Java, Data Structures, File I/O, Java Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Statistical Modeling, Predictive Modeling, Data Modeling, R Programming, Statistical Methods, Public Health, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Dealing With Missing Data

    Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Statistical Modeling, R Programming, Regression Analysis, Data Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    138 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Automated Analysis

    Skills you'll gain: Test Automation, Regression Testing, Software Testing, Software Development Tools, Unit Testing, White-Box Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Debugging, Automation, Application Security

    4.2
    Rating, 4.2 out of 5 stars
    ·
    83 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Enterprise Java Beans (EJBs) and the Jakarta Persistence API (JPA)

    Skills you'll gain: Java Platform Enterprise Edition (J2EE), Object-Relational Mapping, Java, Application Servers, Middleware, Application Deployment, Data Persistence, Event-Driven Programming, Enterprise Application Management, Server Side, Context Management, Business Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…167168169…369

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

  • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera
  • Querying Databases Using SQL SELECT statement: Coursera
  • Introduction to APIs in Google: Google Cloud
  • Scrape and analyze data analyst job requirements with Python: Coursera
  • تمثيل البيانات رسومياً باستخدام بايثون - Data Visualization: Coursera
  • TypeScript String Properties and Methods: Coursera
  • Java Built in Data Structures: Coursera
  • Interventions and Calibration: Imperial College London
  • Dealing With Missing Data: University of Maryland, College Park
  • Machine Learning Algorithms: Sungkyunkwan University

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