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    2582 Ergebnisse für „programming languages“

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      University of Washington

      Programming Languages, Part A

      Kompetenzen, die Sie erwerben: Computer Programming, Other Programming Languages, Algorithms, Computational Logic, Computational Thinking, Mathematics, Programming Principles, Theoretical Computer Science

      4.9

      (1.7k Bewertungen)

      Intermediate · Course · 1-3 Months

    • Kostenlos

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      University of Washington

      Programming Languages, Part B

      Kompetenzen, die Sie erwerben: Computer Programming, Computer Science, Other Programming Languages, Computational Logic, Computer Programming Tools, Mathematical Theory & Analysis, Mathematics, Programming Principles, Theoretical Computer Science

      4.9

      (707 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Korea Advanced Institute of Science and Technology(KAIST)

      Programming Languages Ⅰ

      Mixed · Course · 1-3 Months

    • Kostenlos

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      University of Washington

      Programming Languages, Part C

      Kompetenzen, die Sie erwerben: Computer Programming, Other Programming Languages, Computational Thinking, Programming Principles, Computational Logic, Computer Programming Tools, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.9

      (420 Bewertungen)

      Mixed · Course · 1-3 Months

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      Korea Advanced Institute of Science and Technology(KAIST)

      Programming Languages Ⅱ

      Mixed · Course · 1-3 Months

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      Dartmouth College

      C Programming: Language Foundations - 2

      Kompetenzen, die Sie erwerben: Algorithms, Computer Programming, Data Management, Data Structures, Human Computer Interaction, Other Programming Languages, Theoretical Computer Science, User Experience

      4.5

      (36 Bewertungen)

      Beginner · Course · 1-3 Months

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      Google

      Google Data Analytics

      Kompetenzen, die Sie erwerben: Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, 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, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (100.9k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Engineering

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Data Architecture, Big Data, Data Structures, Database Administration, Statistical Programming, Database Theory, Apache, Extract, Transform, Load, Python Programming, Data Warehousing, Database Application, Data Model, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Computer Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, PostgreSQL, Algebra, Business Analysis, Machine Learning, Computer Programming, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Cloud Computing, DevOps, Leadership and Management, Cloud Engineering, Interactive Data Visualization, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Data Science, Hardware Design, Kubernetes, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Computational Logic, Computational Thinking, Computer Networking, Computer Programming Tools, IBM Cloud, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.3k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      IBM

      IBM Cybersecurity Analyst

      Kompetenzen, die Sie erwerben: Security Engineering, Cyberattacks, Computer Security Incident Management, Network Security, System Security, Network Model, Computer Networking, Cryptography, Python Programming, Security Strategy, System Software, Cloud Infrastructure, Human Factors (Security), Operating Systems, Computer Programming, Databases, Other Programming Languages, Cloud Computing, Cloud Engineering, DevOps, Linux, Mobile Security, Software Security, Agile Software Development, Application Development, Cloud Management, Computer Architecture, Computer Security Models, Data Analysis, Data Management, Data Structures, Data Warehousing, Database Administration, Database Application, Distributed Computing Architecture, Entrepreneurship, Finance, Leadership and Management, Marketing, Mathematics, Mobile Development, Network Analysis, Network Architecture, Networking Hardware, Regulations and Compliance, SQL, Sales, Security Software, Software Engineering, Software Testing, Statistical Programming, Strategy, Strategy and Operations, Theoretical Computer Science

      4.6

      (18.8k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google IT Automation with Python

      Kompetenzen, die Sie erwerben: Computer Programming, Python Programming, Cloud Computing, Computer Programming Tools, Google Cloud Platform, Information Technology, Leadership and Management, Statistical Programming, Theoretical Computer Science, Computational Thinking, Cloud Management, Cloud-Based Integration, Software Engineering, Software Testing, Application Development, Cloud Platforms, Computational Logic, Data Structures, Entrepreneurship, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Problem Solving, Programming Principles, Research and Design, Software Engineering Tools

      4.7

      (35.4k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Foundations: Data, Data, Everywhere

      Kompetenzen, die Sie erwerben: Data Analysis, Data Management, SQL, Business Analysis, Data Visualization, General Statistics, Plot (Graphics), Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Databases, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Product Design, Software Engineering

      4.8

      (73.1k Bewertungen)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Python for Everybody

      Kompetenzen, die Sie erwerben: Computer Programming, Python Programming, Statistical Programming, Data Management, SQL, Databases, Extract, Transform, Load, Computer Networking, Network Model, Other Programming Languages, Computational Logic, Computer Programming Tools, Data Structures, Javascript, Natural Language Processing, Programming Principles, Software Architecture, Software Engineering, Theoretical Computer Science, Web Development

      4.8

      (260.3k Bewertungen)

      Beginner · Specialization · 3-6 Months

    Suchanfragen mit Bezug zu programming languages

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

    Zusammenfassend sind hier 10 unserer beliebtesten programming languages Kurse

    • Programming Languages, Part A: University of Washington
    • Programming Languages, Part B: University of Washington
    • Programming Languages Ⅰ: Korea Advanced Institute of Science and Technology(KAIST)
    • Programming Languages, Part C: University of Washington
    • Programming Languages Ⅱ: Korea Advanced Institute of Science and Technology(KAIST)
    • C Programming: Language Foundations - 2: Dartmouth College
    • Google Data Analytics: Google
    • IBM Data Engineering: IBM Skills Network
    • IBM Cybersecurity Analyst: IBM
    • Google IT Automation with Python: Google

    Fähigkeiten, die Sie bei Software Development erlernen können

    Google (25)
    Computerprogramm (21)
    Software-Tests (21)
    Web (19)
    Google Cloud-Platform (18)
    Anwendungsschnittstellen-Programmierung (17)
    Datenstruktur (16)
    Problemlösung (14)
    Objektorientierte Programmierung (13)
    Kubernetes (10)
    List & Label (10)

    Häufig gestellte Fragen zum Thema Programming Languages

    • 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.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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