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    • Parallel Programming

    Parallel Programming Courses Online

    Master parallel programming for efficient computing. Learn about threading, concurrency, and parallel algorithms.

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    Explore the Parallel Programming Course Catalog

    • E

      Edureka

      Programming with Golang

      Skills you'll gain: Go (Programming Language), Programming Principles, Package and Software Management, Computer Programming, Web Development, Debugging, Software Design, Data Structures, Development Environment

      2.7
      Rating, 2.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced R Programming

      Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Data Analysis Software, Programming Principles, Data Structures, Computational Thinking, Software Development, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      574 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of London

      Introduction to Computer Programming

      Skills you'll gain: Development Environment, Debugging, Program Development, Computer Programming Tools, Software Development Tools, Visualization (Computer Graphics), Computer Programming, Computer Graphics, Integrated Development Environments, Event-Driven Programming, Javascript, Object Oriented Programming (OOP)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      895 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Programming in C

      Skills you'll gain: C (Programming Language), Programming Principles, Algorithms, Data Structures, System Programming, Computer Programming, Numerical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Java Programming, Eclipse (Software), Data Structures, Data Science, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Integrated Development Environments, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Dartmouth College

      C Programming: Modular Programming and Memory Management - 3

      Skills you'll gain: C (Programming Language), System Programming, Hardware Architecture, Computer Architecture, Embedded Software, Operating Systems, Programming Principles, Computer Programming, Program Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      58 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      J

      Johns Hopkins University

      CUDA at Scale for the Enterprise

      Skills you'll gain: Image Analysis, Event-Driven Programming, Scalability, C and C++, Distributed Computing, Computer Vision, System Programming, Software Development, Performance Tuning, Data Structures, Computer Programming, Algorithms

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      É

      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark

      Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      U

      University of Washington

      Programming Languages, Part C

      Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      459 reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      U

      University of California, Santa Cruz

      GO Programming for Everyone: Part 1

      Skills you'll gain: Debugging, Go (Programming Language), C (Programming Language), Program Development, Data Structures, Computer Programming, Algorithms, File Management

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      U

      University of Leeds

      Programming for Data Science

      Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Data Structures, Data Manipulation, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

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      Status: Free
      Free
      U

      University of Washington

      Programming Languages, Part B

      Skills you'll gain: Other Programming Languages, Software Design, Programming Principles, Scripting Languages, Data Structures, Computer Programming, Functional Design, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      777 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Programming with Golang: Edureka
    • Advanced R Programming: Johns Hopkins University
    • Introduction to Computer Programming : University of London
    • Programming in C: University of Michigan
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • C Programming: Modular Programming and Memory Management - 3: Dartmouth College
    • CUDA at Scale for the Enterprise: Johns Hopkins University
    • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
    • Programming Languages, Part C: University of Washington
    • GO Programming for Everyone: Part 1: University of California, Santa Cruz

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    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)

    Frequently Asked Questions about Parallel Programming

    Parallel programming is a concept in computing where a computer uses its resources to solve a problem. The computer breaks the problem down into multiple steps in order to process more information at a time. Parallel programming allows a computer to complete tasks quickly and more efficiently than if the computer solved one section of the problem at a time. Your laptop or desktop computer, smartphone, and tablet rely on parallel programming to process data quickly, allowing you to get better and faster performance from them.‎

    If you're programming computer software or an application, relying on parallel programming allows you to create an app that's more responsive for users. Games run more quickly and are more fun when parallel programming allows you to play them in real-time. Internet searches are more efficient and accurate when the device you're on uses parallel programming to perform the search. Video looks smoother, and audio sounds better on devices that use parallel programming. In short, parallel programming makes the apps and sites that you use every day perform their best.‎

    If you're interested in changing to a career in computer programming, you can apply for software engineering and computer architecture engineering positions in cutting-edge technological companies. Once you've learned parallel programming, you'll be able to develop apps and software programs that run faster and more smoothly. Many cloud applications rely on parallel programming, so you can look for positions with companies developing this rapidly growing sector of technology.‎

    When you take online courses on Coursera in parallel programming, you'll learn from international experts from prestigious schools like École Polytechnique Fédérale de Lausanne and successful companies like Oracle Labs. Instructors from our partner organizations will give you a thorough grasp of the principles of parallel programming, as well as real-world applications. Once you've finished the course, you'll have confident knowledge that can lead you to a new, successful programming career. Best of all, you can learn at your own pace and on a schedule that fits your lifestyle.‎

    Online Parallel Programming courses offer a convenient and flexible way to enhance your knowledge or learn new Parallel Programming skills. Choose from a wide range of Parallel Programming courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Parallel Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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