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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

    • M

      Microsoft

      Introduction to JavaScript Programming

      Skills you'll gain: Debugging, Data Validation, Javascript, Data Structures, Scripting, Program Development, Programming Principles, Web Development Tools, Object Oriented Programming (OOP), Development Environment, Maintainability

      Beginner · Course · 1 - 4 Weeks

    • 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, Data Structures

      Beginner · Course · 1 - 4 Weeks

    • 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

    • M

      Microsoft

      SQL Foundations

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

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Science in Data Science

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

      Earn a degree

      Degree · 1 - 4 Years

    • 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, Writing, Algorithms, Java Programming, Object Oriented Programming (OOP), Spreadsheet Software, Econometrics, R Programming, Text Mining, Probability Distribution, Artificial Intelligence, C (Programming Language), Data Visualization Software, Supervised Learning, Time Series Analysis and Forecasting

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

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

      Postgraduate Diploma · 6 - 12 Months

    • U

      University of London

      Bachelor of Science in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      C

      Clemson University

      Applied Data Science

      Skills you'll gain: Data Ethics, Data Science, Regression Analysis, Data Visualization, Keras (Neural Network Library), Matplotlib, Dimensionality Reduction, Data Analysis, Tensorflow, Data Cleansing, Artificial Neural Networks, Data-Driven Decision-Making, Data Modeling, Statistical Analysis, Scikit Learn (Machine Learning Library), Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Python Programming

      Intermediate · Course · 3 - 6 Months

    • U

      University of Illinois at Urbana-Champaign

      Master of Computer Science (feat. Data Science Track)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • O

      O.P. Jindal Global University

      M.A. in International Relations, Security, and Strategy

      Skills you'll gain: Diplomacy, Intelligence Collection and Analysis, Surveys, Environmental Laws, Environment, Qualitative Research, Sampling (Statistics), R Programming, Political Sciences, Economic Development, International Relations, Cybersecurity, Immigration Law, Public Safety and National Security, Socioeconomics, Governance, Mitigation, Social Studies, Social Sciences, Security Strategy

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Salud Pública Global

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Descriptive Analytics, Biostatistics, Statistical Reporting, Gerontology, Digital Transformation, Health Policy, Healthcare Ethics, Sampling (Statistics), Cloud Security, Assertiveness, Telehealth, Health Disparities, Public Health, Object Oriented Programming (OOP), Business Analytics, Program Evaluation, Occupational Safety and Health Administration (OSHA), Health Systems

      Earn a degree

      Degree · 1 - 4 Years

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

    • Introduction to JavaScript Programming: Microsoft
    • Data Manipulation and Cleaning in R: Microsoft
    • Web Development Fundamentals: Microsoft
    • SQL Foundations: Microsoft
    • Master of Science in Data Science: University of Colorado Boulder
    • Bachelor of Science in Data Science & AI: IIT Guwahati
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
    • Bachelor of Science in Computer Science: University of London
    • Applied Data Science: Clemson University
    • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign

    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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