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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


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    Google Cloud

    Google Cloud에서 Cloud Run Functions로 애플리케이션 개발하기

    Skills you'll gain: Serverless Computing, Google Cloud Platform, Cloud Applications, Cloud API, Cloud Security, Authorization (Computing), Identity and Access Management, Event-Driven Programming, Operational Databases, Application Development

    Intermediate · Course · 1 - 3 Months

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    Microsoft

    Healthcare Data Management, Security, and Compliance

    Skills you'll gain: Data Governance, Health Information Management, Cloud Security, Health Care, Data Architecture, Identity and Access Management, Real Time Data, Scalability, Health Care Procedure and Regulation, Medical Records, Data Management, Data Sharing, Clinical Data Management, Microsoft Azure, Role-Based Access Control (RBAC), Regulatory Compliance, Information Privacy, Interoperability, Security Management, Encryption

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
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    478 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Analyze and Automate Data Using Splunk Knowledge Objects

    Skills you'll gain: Splunk, Security Information and Event Management (SIEM), Data Transformation, Unstructured Data, Anomaly Detection, Data Integration, Data Cleansing, Event Monitoring, Scalability, Data Modeling, Continuous Monitoring, System Monitoring, Data Visualization, Data Governance

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Analyze and Apply R for Data Analytics

    Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Quantitative Research, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Data Analysis

    Beginner · Specialization · 3 - 6 Months

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    Arm

    Arm AMBA AXI Protocols Overview

    Intermediate · Course · 1 - 3 Months

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    Packt

    Microsoft Power BI Performance Best Practices

    Skills you'll gain: Data Modeling, Data Analysis Expressions (DAX), Power BI, Performance Improvement, Performance Tuning, Data Architecture, Performance Measurement, Dashboard, Performance Analysis, Scalability, Microsoft SQL Servers, Microsoft Azure, Business Intelligence, Data Transformation, Performance Management, User Interface and User Experience (UI/UX) Design, Data Storage

    Intermediate · Course · 3 - 6 Months

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    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

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    University of Manchester

    Industrial Biotechnology

    Skills you'll gain: Biotechnology, Sustainable Technologies, Process Engineering, Molecular Biology, Chemical Engineering, Sustainable Engineering, Life Sciences, Biochemistry, Pharmaceuticals, Biomedical Engineering, Materials science, Scalability

    4.7
    Rating, 4.7 out of 5 stars
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    3.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    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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    EDUCBA

    Apply UI/UX Design with Figma for Modern Interfaces

    Skills you'll gain: Figma (Design Software), User Interface and User Experience (UI/UX) Design, Responsive Web Design, Usability, User Centered Design, UI Components, Prototyping, Design Elements And Principles, Collaborative Software, Mockups, Wireframing, Graphic and Visual Design, Layout Design, Typography, Scalability

    Beginner · Course · 1 - 4 Weeks

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

  • Google Cloud에서 Cloud Run Functions로 애플리케이션 개발하기: Google Cloud
  • Healthcare Data Management, Security, and Compliance: Microsoft
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Analyze and Automate Data Using Splunk Knowledge Objects: EDUCBA
  • Analyze and Apply R for Data Analytics: EDUCBA
  • Arm AMBA AXI Protocols Overview: Arm
  • Microsoft Power BI Performance Best Practices: Packt
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Industrial Biotechnology: University of Manchester
  • Introduction to Probability and Data with R: Duke University

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Programming Language (34)
Google (25)
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Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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