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  • Parallel Programming

Parallel Programming Courses

Parallel programming courses can help you learn multithreading, synchronization, and performance optimization techniques. You can build skills in designing algorithms that efficiently utilize multiple processors and managing shared resources. Many courses introduce tools like OpenMP, MPI, and CUDA, that support implementing parallel computing solutions in various applications, from scientific simulations to data processing tasks.


More to explore:

Popular Parallel Programming Courses and Certifications


  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Theory

    Skills you'll gain: Application Specific Integrated Circuits, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Development, Amazon Web Services, Hardware Architecture, Cloud Applications, Performance Tuning, Computer Architecture, Development Environment, System Design and Implementation, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Use C++ to build a Crypto Trading Platform: Final System

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Program Development, Computer Programming, Data Structures, Debugging

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Desarrollo de Aplicaciones Mobile Multiplataforma con Nativescript, Angular y Redux

    Skills you'll gain: Mobile Development, Cross Platform Development, React Redux, iOS Development, Continuous Integration, Apple iOS, Test Automation, Unit Testing, Data Persistence, User Interface (UI), Angular, Application Development, UI Components, User Interface (UI) Design, Application Frameworks, TypeScript, Debugging, Animations

    3.7
    Rating, 3.7 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Working with Objects in C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Debugging, Model Evaluation, Test Data, Data Validation, Algorithms, Statistical Programming, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Introduction to Ethereum Blockchain

    Skills you'll gain: Blockchain, Development Environment, Software Development Tools, Application Deployment, Transaction Processing, Application Design, Front-End Web Development, Cloud Development, Event-Driven Programming, Development Testing, Javascript

    5
    Rating, 5 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Data Analytics

    Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping

    4.2
    Rating, 4.2 out of 5 stars
    ·
    25 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Python for Finance: Beta and Capital Asset Pricing Model

    Skills you'll gain: Portfolio Management, Plotly, Data Visualization, Portfolio Risk, Investment Management, Exploratory Data Analysis, Financial Modeling, Financial Analysis, Statistical Analysis, Financial Data, Risk Modeling, Market Data, Finance, Equities, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

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

  • Developing FPGA-accelerated cloud applications with SDAccel: Theory: Politecnico di Milano
  • Machine Learning Models in Science: LearnQuest
  • Use C++ to build a Crypto Trading Platform: Final System: University of London
  • Desarrollo de Aplicaciones Mobile Multiplataforma con Nativescript, Angular y Redux: Universidad Austral
  • Working with Objects in C++: University of London
  • Moneyball and Beyond: University of Michigan
  • Introduction to Ethereum Blockchain: EDUCBA
  • Web Applications and Command-Line Tools for Data Engineering: Duke University
  • Applied Data Analytics: Edureka
  • Python for Finance: Beta and Capital Asset Pricing Model: Coursera

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