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    • Computer Programming

    필터링 기준

    "computer programming"에 대한 1901개의 결과

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      Coursera Project Network

      Learn Fundamentals Of Computer Programming With C Language

      획득할 기술: C Programming Language Family, Computer Programming

      4.3

      (52개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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      Google

      Google Data Analytics

      획득할 기술: Algorithms, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Security, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Metadata, 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 Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (70.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google UX Design

      획득할 기술: Accounting, Advertising, Brand Management, Business Analysis, Business Communication, Business Psychology, Change Management, Collaboration, Communication, Computer Programming, Data Analysis, Design and Product, Entrepreneurship, Experience, Finance, Financial Analysis, Human Computer Interaction, Interactive Design, Investment Management, Leadership and Management, Marketing, Operating Systems, Persona (User Experience), Planning, Presentation, Problem Solving, Product Design, Programming Principles, Research and Design, Sales, Social Media, Software Architecture, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, User Experience, User Experience Design, User Interface, User Research, Visual Design, Web Design, Web Development

      4.8

      (40.9k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Science

      획득할 기술: Algebra, Algorithms, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Clustering Algorithms, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Recommender Systems, 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

      (96.1k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      획득할 기술: Accounting, Algorithms, Applied Machine Learning, Artificial Neural Networks, Calculus, Communication, Computer Programming, Computer Vision, Cost, Data Analysis, Data Management, Data Mining, Data Structures, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Linearity, Logistic Regression, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operations Research, Probability & Statistics, Probability Distribution, Python Programming, Regression, Reinforcement Learning, Research and Design, Statistical Classification, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science

      4.9

      (2k개의 검토)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM Data Analyst

      획득할 기술: Algebra, 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, Machine Learning, Mathematical Theory & Analysis, Mathematics, Matplotlib, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.6

      (52.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Introduction to Data Science

      획득할 기술: Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Mining, Database Administration, Database Application, Databases, General Statistics, Machine Learning, Marketing, Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Programming

      4.6

      (70.6k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      획득할 기술: Analysis, Basic Descriptive Statistics, Business Analysis, Computational Logic, Computer Programming, Correlation And Dependence, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Analysis, Statistical Programming, Statistical Tests, Statistical Visualization, Theoretical Computer Science

      4.5

      (47.6k개의 검토)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Deep Learning

      획득할 기술: Advertising, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Psychology, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Management, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Leadership and Management, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language, Natural Language Processing, Network Architecture, Network Model, Object Detection, Probability & Statistics, Project, Project Management, Python Programming, Regression, Sales, Statistical Machine Learning, Statistical Programming, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science, User Experience

      4.8

      (134.1k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Engineering

      획득할 기술: Algorithms, Apache, Big Data, Business Analysis, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Engineering, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Graph Theory, Hardware Design, IBM Cloud, Interactive Data Visualization, Kubernetes, Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Network Architecture, Network Security, NoSQL, PostgreSQL, Professional Development, Programming Principles, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (35.8k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM DevOps and Software Engineering

      획득할 기술: Agile Software Development, Algorithms, Application Development, Bioinformatics, 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, Devops Tools, Distributed Computing Architecture, Docker (Software), Entrepreneurship, Extract, Transform, Load, Finance, Full-Stack Web Development, Human Computer Interaction, IBM Cloud, Interactive Design, Journalism, Kubernetes, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, Operating Systems, Planning, Probability & Statistics, Product Design, Product Development, Programming Principles, Project Management, Python Programming, Scrum (Software Development), Security, Security Engineering, 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

      (31.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Key Technologies for Business

      획득할 기술: Analysis, Applied Machine Learning, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Analysis, Data Mining, Deep Learning, DevOps, Ethics, Finance, General Statistics, Human Computer Interaction, IBM Cloud, Interactive Design, Machine Learning, Machine Learning Algorithms, Network Architecture, Network Security, Operating Systems, Probability & Statistics, Regression, Security, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (67.1k개의 검토)

      Beginner · Specialization · 1-3 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.

    • Learn Fundamentals Of Computer Programming With C Language: Coursera Project Network
    • Google Data Analytics: Google
    • Google UX Design: Google
    • IBM Data Science: IBM Skills Network
    • Machine Learning: DeepLearning.AI
    • IBM Data Analyst: IBM Skills Network
    • Introduction to Data Science: IBM Skills Network
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • Deep Learning: DeepLearning.AI
    • IBM Data Engineering: IBM Skills Network

    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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