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  • Parallel Computing

Parallel Computing Courses

Parallel computing courses can help you learn about distributed systems, concurrency, and performance optimization techniques. You can build skills in task scheduling, load balancing, and debugging parallel applications. Many courses introduce tools like MPI (Message Passing Interface) and OpenMP, that support implementing parallel algorithms and enhancing computational efficiency.


Popular Parallel Computing Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
    ·
    820 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Query Languages, Computing Platforms, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    923 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Red Hat

    Foundations of Red Hat Cloud-native Development

    Skills you'll gain: Kubernetes, Cloud-Native Computing, Containerization, Docker (Software), Cloud Applications, Application Deployment, Cloud Deployment, Continuous Deployment, Cloud Platforms, Cloud Computing, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    929 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Cybersecurity Case Studies and Capstone Project

    Skills you'll gain: Digital Forensics, Incident Response, Penetration Testing, Computer Security Incident Management, Cyber Threat Intelligence, Cybersecurity, Security Management, Threat Detection, Cyber Security Assessment, Vulnerability Assessments, Threat Modeling, Malware Protection, Email Security, AI Security, Exploitation techniques, Network Security, Payment Card Industry (PCI) Data Security Standards, Fraud detection

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Work Smarter with Microsoft PowerPoint

    Skills you'll gain: Multimedia, Microsoft PowerPoint, Presentations, Microsoft Office, Collaborative Software, Productivity Software, Microsoft Windows, Editing, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Survey Data Collection and Analytics

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Interviewing Skills, Surveys, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to parallel computing

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

  • Reproducible Research: Johns Hopkins University
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Graph Analytics for Big Data: University of California San Diego
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Data Science at Scale: University of Washington
  • Foundations of Red Hat Cloud-native Development: Red Hat
  • Experimentation for Improvement: McMaster University
  • Cybersecurity Case Studies and Capstone Project: IBM
  • Scalable Machine Learning on Big Data using Apache Spark: IBM

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