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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.


More to explore:

Popular Parallel Computing Courses and Certifications


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    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Allen Bradley Micro850 PLC with IIoT

    Skills you'll gain: Programmable Logic Controllers, Simulation and Simulation Software, Industrial Engineering, Control Systems, Electronic Hardware, Data Structures, Microsoft Azure, Automation, Mobile Development Tools, Performance Tuning, Data Management, System Implementation, System Configuration, Application Programming Interface (API), Data Integration, Communication, Simulations

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Chef Infrastructure Automation & DevOps Configuration

    Skills you'll gain: Chef (Configuration Management Tool), Scalability, Infrastructure as Code (IaC), Apache, IT Automation, Virtual Machines, Amazon Web Services, Amazon Elastic Compute Cloud, CI/CD, Application Deployment, Cloud Computing, Systems Administration, Nginx, Full-Stack Web Development, Continuous Deployment, Servers, Ruby (Programming Language), Remote Access Systems, Package and Software Management, Service Management

    Beginner · Specialization · 1 - 3 Months

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    Packt

    Agile Scrum Master Level II – Certification & Mock Exams

    Skills you'll gain: Stakeholder Management, Accountability, Product Management, Prioritization, Scalability, Conflict Management

    Intermediate · Course · 3 - 6 Months

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    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Model Evaluation, Mathematical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
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    830 reviews

    Beginner · Specialization · 3 - 6 Months

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    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Logical Operations

    Microsoft Windows 11 Mastery

    Skills you'll gain: Microsoft Windows, Microsoft Copilot, Cloud Applications, File Management, System Configuration, Patch Management, Cloud Storage, Peripheral Devices, Operating System Administration, Operating Systems, Software Installation, Web Applications, Computing Platforms, Web Content Accessibility Guidelines, Computer Security Awareness Training, Control Panels, AI Enablement, Configuration Management, User Interface (UI), Virtual Environment

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    User Retention Analytics

    Skills you'll gain: Dashboard, Data Storytelling, Marketing Budgets, Heat Maps, Looker (Software), Process Mapping, Customer Retention, SQL, Data Visualization, Marketing Analytics, Customer Insights, Tableau Software, Statistical Analysis, Predictive Analytics, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Data-Driven Decision-Making, R Programming, Python Programming

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Analyze Fraud Using Data Analytics and R

    Skills you'll gain: Fraud detection, Anomaly Detection, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills, Machine Learning Methods, Threat Detection, Unsupervised Learning, Risk Analysis, Advanced Analytics, Analytics, Predictive Analytics, Data-Driven Decision-Making, Supervised Learning, Big Data

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Excel/VBA for Creative Problem Solving, Part 1

    Skills you'll gain: Excel Macros, Programming Principles, Visual Basic (Programming Language), Computer Programming, Spreadsheet Software, Problem Solving, Automation, Algorithms, Debugging, Data Management, Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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

  • Design and Build Custom Neural Networks: Coursera
  • Allen Bradley Micro850 PLC with IIoT: Packt
  • Chef Infrastructure Automation & DevOps Configuration: EDUCBA
  • Agile Scrum Master Level II – Certification & Mock Exams: Packt
  • Bayesian Statistics: University of California, Santa Cruz
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Statistical Analysis with R for Public Health: Imperial College London
  • Microsoft Windows 11 Mastery: Logical Operations
  • User Retention Analytics: Coursera
  • Analyze Fraud Using Data Analytics and R: EDUCBA

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