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    • Computer Programming

    필터링 기준

    "computer programming"에 대한 1955개의 결과

    • 무료

      The University of Edinburgh

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      획득할 기술: Computer Program, Theoretical Computer Science, Algorithms, Language, Other Programming Languages, Computer Programming

      4.7

      (2.8k개의 검토)

      Beginner · Course · 1-3 Months

    • 무료

      University of Toronto

      University of Toronto

      Learn to Program: The Fundamentals

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

      4.7

      (5.4k개의 검토)

      Beginner · Course · 1-3 Months

    • University of Michigan

      University of Michigan

      Python for Everybody

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

      4.8

      (248.2k개의 검토)

      Beginner · Specialization · 3+ Months

    • IBM

      IBM

      IBM DevOps and Software Engineering

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

      4.6

      (29.3k개의 검토)

      Beginner · Professional Certificate · 3+ Months

    • IBM

      IBM

      IBM Machine Learning

      획득할 기술: Advertising, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Business Analysis, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, Journalism, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Probability & Statistics, Python Programming, Regression, Reinforcement Learning, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (904개의 검토)

      Intermediate · Professional Certificate · 3+ Months

    • Google

      Google

      Google Data Analytics

      획득할 기술: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Econometrics, Entrepreneurship, Experiment, Extract, Transform, Load, Feature Engineering, Finance, General Statistics, Leadership and Management, Machine Learning, Network Security, Other Programming Languages, Plot (Graphics), Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science

      4.8

      (57.1k개의 검토)

      Beginner · Professional Certificate · 3+ Months

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      Johns Hopkins University

      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

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

      4.7

      (13.7k개의 검토)

      Mixed · Course · 1-3 Months

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      무료

      National Taiwan University

      National Taiwan University

      計算機程式設計 (Computer Programming)

      획득할 기술: Computer Programming, C Programming Language Family

      4.8

      (333개의 검토)

      Mixed · Course · 1-3 Months

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      University of London

      University of London

      Introduction to Computer Programming

      획득할 기술: Computer Program

      4.1

      (674개의 검토)

      Beginner · Course · 1-4 Weeks

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      LearnQuest

      LearnQuest

      Introduction to Computer Programming with Visual Basic

      획득할 기술: Cloud Computing, Computer Architecture, Computer Program, Computer Programming, History, Microarchitecture, Object-Oriented Programming, Other Programming Languages, Software As A Service, Theoretical Computer Science

      4.6

      (49개의 검토)

      Beginner · Specialization · 3+ Months

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      Coursera Project Network

      Coursera Project Network

      Learn Fundamentals Of Computer Programming With C Language

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

      4.3

      (47개의 검토)

      Beginner · Rhyme Project · Less Than 2 Hours

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      Google

      Google

      Google UX Design

      획득할 기술: Advertising, Brand Management, Business Psychology, Change Management, Communication, Computer Programming, Design and Product, Entrepreneurship, Experience, Human Computer Interaction, Interactive Design, Leadership and Management, Marketing, Problem Solving, Programming Principles, Research and Design, Sales, Social Media, Strategy, Strategy and Operations, User Experience, User Experience Design, User Research, Visual Design, Web, Web Design, Web Development, Website Wireframe

      4.8

      (32.4k개의 검토)

      Beginner · Professional Certificate · 3+ Months

    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.

    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Learn to Program: The Fundamentals: University of Toronto
    • Python for Everybody: University of Michigan
    • IBM DevOps and Software Engineering: IBM
    • IBM Machine Learning: IBM
    • Google Data Analytics: Google
    • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
    • 計算機程式設計 (Computer Programming): National Taiwan University
    • Introduction to Computer Programming: University of London
    • Introduction to Computer Programming with Visual Basic: LearnQuest

    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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