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    • Computer Programming

    필터링 기준

    "computer programming"에 대한 1772개의 결과

    • University of London

      University of London

      Bachelor of Science in Computer Science

      획득할 기술: Software Testing, Algorithms, Programming Principles, Microarchitecture, Calculus, Linear Algebra, General Statistics, Web Design, Theoretical Computer Science, Machine Learning, Probability & Statistics, Python Programming, Javascript, User Experience, Web Development, Computational Thinking, Databases, Operating Systems, Computer Program, Statistical Programming, Other Programming Languages, Computer Graphics, Product Design, C Programming Language Family, Agile Software Development, Computational Logic, Security Engineering, Computer Programming, Mathematical Theory & Analysis, Mathematics, Software Engineering, Computer Architecture, Full-Stack Web Development, System Security

      학위 취득

      Degree

    • 무료

      The University of Edinburgh

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      획득할 기술: Algorithms, Computer Programming, Leadership and Management, Computer Program, Journalism, Software, Other Programming Languages, Programming Principles, Software Engineering, Language, Entrepreneurship, Problem Solving, Theoretical Computer Science, Research and Design

      4.7

      (2.8k개의 검토)

      Beginner · Course

    • University of Michigan

      University of Michigan

      Python for Everybody

      획득할 기술: Application Programming Interfaces, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Data Management, Data Structures, Databases, Extract, Transform, Load, Javascript, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language Processing, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science, Web Development

      4.8

      (249.9k개의 검토)

      Beginner · Specialization

    • IBM

      IBM

      IBM DevOps and Software Engineering

      획득할 기술: Agile Software Development, Algorithms, Application Development, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Collaboration, Communication, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Continuous Integration, Data Management, Design and Product, DevOps, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Finance, Full-Stack Web Development, Human Computer Interaction, IBM Cloud, Interactive Design, Kubernetes, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, Operating Systems, Planning, Product Design, Product Development, Programming Principles, Project Management, Python Programming, Security, Security Engineering, Software, Software Architecture, Software As A Service, Software Engineering, Software Engineering Tools, Software Framework, Software Testing, Statistical Programming, Strategy and Operations, Supply Chain and Logistics, System Programming, Systems Design, Theoretical Computer Science, Web Development

      4.6

      (30.3k개의 검토)

      Beginner · Professional Certificate

    • Johns Hopkins University

      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

      획득할 기술: Web Development, HTML and CSS, Html, CSS, Web

      4.7

      (13.8k개의 검토)

      Mixed · Course

    • 무료

      National Taiwan University

      National Taiwan University

      計算機程式設計 (Computer Programming)

      획득할 기술: Cut, Copy, And Paste, C Programming Language Family, Computer Programming, C Programming

      4.8

      (337개의 검토)

      Mixed · Course

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      무료

      University of Toronto

      University of Toronto

      Learn to Program: The Fundamentals

      획득할 기술: Strategy and Operations, Computer Programming, Critical Thinking, Semantics, Leadership and Management, Programming Principles, Entrepreneurship, Syntax, Business Analysis, Statistical Programming, Research and Design, Problem Solving, Python Programming, Language

      4.7

      (5.5k개의 검토)

      Beginner · Course

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      Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      획득할 기술: Analytics, Apache, Applied Machine Learning, Bayesian Statistics, Big Data, Business Psychology, Cloud Computing, Cloud Platforms, Computer Architecture, Computer Programming, Data Management, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, Full-Stack Web Development, General Statistics, Google Cloud Platform, Hardware Design, Machine Learning, Probability & Statistics, Python Programming, Statistical Programming, Web Development

      4.6

      (16.8k개의 검토)

      Intermediate · Professional Certificate

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      IBM

      IBM

      IBM Data Analyst

      획득할 기술: Algebra, Analytics, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Linearity, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.6

      (50.5k개의 검토)

      Beginner · Professional Certificate

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      IBM

      IBM

      IBM Data Science

      획득할 기술: Algebra, Algorithms, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Modeling, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (93.6k개의 검토)

      Beginner · Professional Certificate

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      Hebrew University of Jerusalem

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      획득할 기술: Architecture, Logic, Computer Programming, Markov Model, Machine Learning, Microarchitecture, Language, Statistical Machine Learning, Computational Logic, Computer Architecture, Computer Vision, Hardware Design, Applied Machine Learning, Algorithms, Theoretical Computer Science

      4.9

      (3.1k개의 검토)

      Mixed · Course

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      IBM

      IBM

      COBOL Programming with VSCode

      획득할 기술: Computer Programming Tools, Other Programming Languages, Computer Programming

      4.7

      (143개의 검토)

      Beginner · Course

    computer programming과(와) 관련된 검색

    introduction to computer programming
    introduction to computer programming with visual basic
    learn fundamentals of computer programming with c language
    計算機程式設計 (computer programming)
    computer science: programming with a purpose
    introduction to computer science and programming
    1234…84

    요약하자면, 여기에 가장 인기 있는 computer programming 강좌 10개가 있습니다.

    • Bachelor of Science in Computer Science: University of London
    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Python for Everybody: University of Michigan
    • IBM DevOps and Software Engineering: IBM
    • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
    • 計算機程式設計 (Computer Programming): National Taiwan University
    • Learn to Program: The Fundamentals: University of Toronto
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
    • IBM Data Analyst: IBM
    • IBM Data Science: IBM

    컴퓨터 프로그래밍에 대한 자주 묻는 질문

    • Computer programming is the set of instructions that are written in code and is used within an application, computer, or network to direct the machine to do a certain task. Computer programmers write the code, and through the process, that code instructs an application, or software program, exactly what it is supposed to do. Computer programming is the broad term used for all types of software programming that tells the computer what it is supposed to do. When you move your cursor to put your PC to sleep or to restart or shut down, you're clicking on a visual button written with computer programming.‎

    • When you learn computer programming, you're increasing your ability to think and develop logical, structured brain processes. Solving a computer programming problem means you can break down the large issue into workable chunks, and then write code around those individual problems.

      Learning computer programming teaches your brain to use logic and persistence to solve a computer problem. You can use this style of logical thinking in other areas of your life to start figuring out new ways to solve problems. Learning computer programming will help you do that.‎

    • When you know computer programming, you can work in software development jobs, mobile application jobs, corporate IT jobs, network administration jobs, and many more technology positions. So many careers use computer programming today.

      Computer programming is so important to how our connected world runs, that learning how to code is almost one of the most common job requirements in the technology and IT industries. You can become very employable even by just knowing the basics of computer programming.‎

    • When you take online courses, you can gain knowledge about software development and the basics of programming languages like Java, Python, and SQL. There are online courses in many interconnected areas around computer programming. When you understand the basics, you can venture forth into more specific computer programming areas that excite you such as genomic data science, mathematics for machine learning, and AI.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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