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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.


Popular Parallel Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Analytics in the Public Sector with R

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Case Studies, Political Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    91 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Mobile App Development

    Skills you'll gain: Mobile Development, Mobile Development Tools, iOS Development, Integrated Development Environments, Development Environment, Apple iOS, Android Studio, Computer Programming Tools, Application Development, Swift Programming, Test Tools, React Native, Apple Xcode, Application Frameworks, Cross Platform Development, Software Testing, Cloud Hosting, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    204 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Generative AI for Developers

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, Artificial Intelligence, Object Oriented Programming (OOP), Large Language Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Artificial Neural Networks, Maintainability, Computer Programming, Data Cleansing, Debugging, Problem Solving, Critical Thinking, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    196 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Logistic Regression, Probability & Statistics, Descriptive Statistics, Model Evaluation, Public Health

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    374 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Classification Algorithms, Supervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Data Validation, Applied Machine Learning, Data Preprocessing, Model Evaluation, Algorithms, Programming Principles, Regression Analysis, Feature Engineering, Statistical Methods

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Back-End

    Skills you'll gain: Back-End Web Development, Program Development, Algorithms, Integrated Development Environments, Programming Principles, Pseudocode, Debugging, Computational Thinking, Engineering Software, Diagram Design, C# (Programming Language), Version Control, Data Flow Diagrams (DFDs), Software Engineering, GitHub, Git (Version Control System), Data Structures, Microsoft Copilot

    4.6
    Rating, 4.6 out of 5 stars
    ·
    111 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Serverless Applications

    Skills you'll gain: Microsoft Azure, Serverless Computing, Cloud Development, Microsoft Power Automate/Flow, Event-Driven Programming, Cloud Applications, Cloud-Based Integration, Business Process Automation, Microservices, Application Programming Interface (API), GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    133 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Identifying Security Vulnerabilities

    Skills you'll gain: Threat Modeling, Secure Coding, Cryptography, Open Web Application Security Project (OWASP), Encryption, Application Security, Vulnerability Assessments, Data Security, Exploitation techniques, Security Controls, Authentications, Vulnerability Management, Personally Identifiable Information

    4.7
    Rating, 4.7 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Analytics in the Public Sector with R: University of Michigan
  • Introduction to Mobile App Development: IBM
  • Generative AI for Developers: Fractal Analytics
  • Survival Analysis in R for Public Health: Imperial College London
  • NLP: Twitter Sentiment Analysis: Coursera
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Foundations of Coding Back-End: Microsoft
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Principal Component Analysis with NumPy: Coursera

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Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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