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 TrialSkills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, R Programming, Statistical Modeling, Regression Analysis, Ggplot2, Data Visualization, Data Transformation, Predictive Analytics
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Computational Thinking, Education Software and Technology, Digital pedagogy, Programming Principles, Debugging, Computer Programming, Computer Science, Brainstorming
Status: FreeDeepLearning.AI
Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, AI Security, Code Review, Computer Programming Tools
Status: Free TrialCodio
Skills you'll gain: Algorithms, C++ (Programming Language), Data Structures, Computer Programming, Computational Thinking, Technical Design
Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning
Status: PreviewSungkyunkwan University
Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra, Probability
Status: PreviewUniversity of Illinois Urbana-Champaign
Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Systems Design, Computer Architecture, Network Routing, Computational Logic, Electrical Engineering, Data Structures, Algorithms, Graph Theory, Mathematical Modeling, Calculus
Status: Free TrialUniversity of Michigan
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation
Status: Free TrialSkills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter
Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization
Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
Status: Free TrialSkills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming
In summary, here are 10 of our most popular reactive programming courses
- Data Science with R - Capstone Project: IBM
- Computational Thinking for K-12 Educators: Sequences and Loops: University of California San Diego
- Prompt Engineering with Llama 2&3: DeepLearning.AI
- C++: Algorithms: Codio
- Breast Cancer Prediction Using Machine Learning: Coursera
- Machine Learning Basics: Sungkyunkwan University
- VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
- Moneyball and Beyond: University of Michigan
- Statistics for Data Science with Python: IBM
- Support Vector Machines in Python, From Start to Finish: Coursera
