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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

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Cleaning in R

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Generative AI, Data Literacy, Data Analysis, Data Integrity, Microsoft Copilot

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      .NET & .NET Core Mastery: Cross-Platform Development

      Skills you'll gain: Cloud Applications, Containerization, .NET Framework, Cross Platform Development, Application Deployment, Application Development, C# (Programming Language), Development Environment, Application Performance Management, Web Applications, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Web Development Fundamentals

      Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), HTML and CSS, Web Applications, Event-Driven Programming, Web Development, Front-End Web Development, Responsive Web Design, Javascript, Data Storage, Data Management, UI Components

      Beginner · Course · 1 - 3 Months

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, NumPy, Statistical Machine Learning, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Statistical Modeling, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Statistics, Surveys, Bayesian Statistics, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Data Mining, Statistical Modeling, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Service Level, Performance Testing, Probability, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Statistical Machine Learning, Data Pipelines, Data Processing, Probability & Statistics, Bash (Scripting Language), Data Science

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      SQL Foundations

      Skills you'll gain: Microsoft SQL Servers, SQL, Transact-SQL, Data Transformation, Relational Databases, Data Manipulation, Databases, Database Management, Microsoft Copilot, Generative AI, Data Analysis

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: User Story, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Delegation Skills, Object Oriented Design, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives

      Earn a degree

      Degree · 1 - 4 Years

    • B

      Ball State University

      Master of Science in Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      JavaScript Data and Applications

      Skills you'll gain: Javascript, Application Programming Interface (API), JSON, Restful API, Web Applications, Software Testing, Performance Tuning, Unit Testing, Debugging, Maintainability

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, Interactive Data Visualization, PySpark, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Cloud Services, Linear Algebra, Natural Language Processing, JSON, Data Mining, Applied Machine Learning, Qualitative Research, Statistical Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Applications and Integration

      Skills you'll gain:

      Beginner · Course

    • I

      IIT Guwahati

      Bachelor of Science in Data Science & AI

      Skills you'll gain: Package and Software Management, Linear Algebra, Data Structures, Data Warehousing, Database Management, Database Theory, Time Series Analysis and Forecasting, Writing, Algorithms, Java Programming, Object Oriented Programming (OOP), Spreadsheet Software, Econometrics, R Programming, Text Mining, Statistical Machine Learning, Artificial Intelligence, Data Visualization Software, C (Programming Language), Probability

      Earn a degree

      Degree · 1 - 4 Years

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

    • Data Manipulation and Cleaning in R: Microsoft
    • .NET & .NET Core Mastery: Cross-Platform Development: Coursera Instructor Network
    • Web Development Fundamentals: Microsoft
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
    • Data Science Graduate Certificate: University of Colorado Boulder
    • SQL Foundations: Microsoft
    • Master of Science in Data Science: University of Colorado Boulder
    • Master of Science in Data Science: Ball State University
    • JavaScript Data and Applications: Microsoft
    • Master of Applied Data Science: University of Michigan

    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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