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    • Programming Languages

    필터링 기준

    "programming languages"에 대한 1654개의 결과

    • 무료

      University of Washington

      University of Washington

      Programming Languages, Part A

      획득할 기술: Theoretical Computer Science, Algorithms, Programming Principles, Computer Programming, Euler'S Totient Function, Inference, Computational Thinking, Mathematics, Computational Logic, Other Programming Languages, Language, Functional Programming

      4.9

      (1.6k개의 검토)

      Intermediate · Course

    • 무료

      University of Washington

      University of Washington

      Programming Languages, Part B

      획득할 기술: Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science, Language, Computer Programming, Computer Programming Tools, Computational Logic, Other Programming Languages, Functional Programming, Programming Principles, Computer Program

      4.9

      (689개의 검토)

      Intermediate · Course

    • 무료

      University of Washington

      University of Washington

      Programming Languages, Part C

      획득할 기술: Mathematics, Language, Theoretical Computer Science, Mathematical Theory & Analysis, Programming Principles, Computer Programming, Computational Logic, Computer Programming Tools, Other Programming Languages

      4.9

      (406개의 검토)

      Mixed · Course

    • Dartmouth College

      Dartmouth College

      C Programming: Language Foundations - 2

      획득할 기술: Algorithms, Computer Programming, Theoretical Computer Science

      Beginner · Course

    • Google

      Google

      Google Data Analytics

      획득할 기술: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, 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, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, 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 Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design

      4.8

      (63.7k개의 검토)

      Beginner · Professional Certificate

    • DeepLearning.AI

      DeepLearning.AI

      Machine Learning

      획득할 기술: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.9

      (351개의 검토)

      Beginner · Specialization

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      IBM

      IBM

      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, Modeling, Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Programming

      4.6

      (69.1k개의 검토)

      Beginner · Specialization

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      Google

      Google

      Google IT Automation with Python

      획득할 기술: Application Development, Cloud Computing, Cloud Platforms, Computational Logic, Computational Thinking, Computer Programming, Computer Programming Tools, Data Structures, Google Cloud Platform, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Programming Principles, Python Programming, Software Engineering, Software Engineering Tools, Software Testing, Statistical Programming, Test Automation, Theoretical Computer Science, Time Management, Troubleshooting, Version Control

      4.7

      (30.5k개의 검토)

      Beginner · Professional Certificate

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      University of Michigan

      University of Michigan

      Python for Everybody

      획득할 기술: 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

      (250k개의 검토)

      Beginner · Specialization

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      Google

      Google

      Foundations: Data, Data, Everywhere

      획득할 기술: SQL, Decision Making, Data Visualization, Data Management, Analysis, Application Development, Design and Product, Data Analysis, Entrepreneurship, Software Engineering, Business Analysis, Leadership and Management, Spreadsheet Software, Data-Informed Decision-Making, Spreadsheet, Statistical Programming, Product Design, Databases, Analytics, Statistical Analysis

      4.8

      (46k개의 검토)

      Beginner · Course

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      DeepLearning.AI

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      획득할 기술: Analysis, Applied Machine Learning, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Entrepreneurship, Forecasting, General Statistics, Machine Learning, Machine Learning Algorithms, Modeling, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Machine Learning, Statistical Programming, Time Series

      4.7

      (21.9k개의 검토)

      Intermediate · Professional Certificate

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      IBM

      IBM

      BI Foundations with SQL, ETL and Data Warehousing

      획득할 기술: Apache, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Programming, Data Management, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Extract, Transform, Load, Microarchitecture, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science

      4.6

      (15.8k개의 검토)

      Beginner · Specialization

    programming languages과(와) 관련된 검색

    programming languages, part b
    programming languages, part a
    programming languages, part c
    programming language
    rust (programming language)
    c programming: language foundations - 2
    learn fundamentals of computer programming with c language
    1234…84

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

    • Programming Languages, Part A: University of Washington
    • Programming Languages, Part B: University of Washington
    • Programming Languages, Part C: University of Washington
    • C Programming: Language Foundations - 2: Dartmouth College
    • Google Data Analytics: Google
    • Machine Learning: DeepLearning.AI
    • Introduction to Data Science: IBM
    • Google IT Automation with Python: Google
    • Python for Everybody: University of Michigan
    • Foundations: Data, Data, Everywhere: Google

    Software Development에서 학습할 수 있는 스킬

    Google (25)
    컴퓨터 프로그램 (21)
    소프트웨어 테스트 (21)
    웹 (19)
    Google Cloud Platform (18)
    애플리케이션 프로그래밍 인터페이스 (17)
    데이터 구조 (16)
    문제 해결 (14)
    객체 지향 프로그래밍 (13)
    Kubernetes (10)
    목록 및 레이블 (10)

    Programming Languages에 대한 자주 묻는 질문

    • Programming languages are languages that are made up of instructions for computers and other machines to solve problems, perform tasks, or analyze data. A computer processes every action or bit of data into binary code, which consists of ones and zeroes. A programming language takes command from a human language and translates it into binary code for the computer to process. There are two types of programming languages: low-level and high-level. Low-level languages are closer to binary code and easier for the computer to understand, while high-level languages are more sophisticated and take more time for a machine to process.‎

    • Learning programming languages is important because you can use them to develop new software and applications that others can use. Computer programming is increasingly important in a technologically connected world, and if you know how to use programming languages, you can help create innovative technologies that make life easier and better for consumers. The computer industry will continue to grow, and companies are constantly looking for employees with a thorough knowledge of programming languages who can work to develop the next generation of applications and devices.‎

    • The computer programming industry has a vast array of lucrative jobs for employees who understand programming languages, from software and app developers to systems administrators to network security engineers. Opportunities include designing and programming apps and software as well as working as a programmer who helps correct errors in existing software packages. A job as a database administrator allows you to help clients analyze large amounts of information and even recover data that’s been lost. You can also find work as a systems or intelligence analyst and help companies match their computing power to their business objectives and take advantage of new trends.‎

    • Online courses in programming languages can show you the basic structure and concepts behind the languages that computers and machines use today so that you can put them to use in your current workplace or in a brand new career. You might also learn the applications of various programming languages in different environments. Courses can help you understand Python, C++, Java, or other popular languages, as well as learn specific uses of these languages across multiple industries. You may also have the opportunity to discover the new programming languages that are on the horizon.‎

    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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