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    • Programming

    필터링 기준

    "programming"에 대한 3220개의 결과

    • 무료

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      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      획득할 기술: Computational Thinking, Computer Programming, Algorithms, Design and Product, Human Computer Interaction, Product Design, Theoretical Computer Science, User Experience, Entrepreneurship, Journalism, Leadership and Management, Other Programming Languages, Problem Solving, Programming Principles, Research and Design, Software Engineering

      4.7

      (3.1k개의 검토)

      Beginner · Course · 1-3 Months

    • 무료

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      University of Toronto

      Learn to Program: The Fundamentals

      획득할 기술: Computer Programming, Python Programming, Computational Thinking, Computational Logic, Business Analysis, Critical Thinking, Entrepreneurship, Leadership and Management, Problem Solving, Programming Principles, Research and Design, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.7

      (5.9k개의 검토)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Python for Everybody

      획득할 기술: 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

      (260.5k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Google

      Google IT Automation with Python

      획득할 기술: 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

      (35.5k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

      획득할 기술: HTML and CSS, Web Development

      4.7

      (15k개의 검토)

      Mixed · Course · 1-3 Months

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      IBM Skills Network

      IBM Full Stack Software Developer

      획득할 기술: Web Development, Cloud Computing, IBM Cloud, Software Engineering, Python Programming, Other Web Frameworks, Computer Programming, Javascript, Kubernetes, Data Analysis, Django (Web Framework), Data Structures, Programming Principles, Software Engineering Tools, DevOps, Cloud Applications, Algebra, Computer Programming Tools, Databases, Front-End Web Development, Cloud Engineering, Back-End Web Development, Full-Stack Web Development, HTML and CSS, React (web framework), Devops Tools, Web Development Tools, Cloud Infrastructure, Application Development, Cloud Foundry, Cloud Platforms, Docker (Software), SQL, Software Architecture, Theoretical Computer Science, Computer Architecture, Distributed Computing Architecture, Cloud Management, Cloud Storage, Network Security, Software As A Service, Basic Descriptive Statistics, Continuous Delivery, Data Management, Design and Product, Exploratory Data Analysis, Human Computer Interaction, NoSQL, Software Testing, Statistical Programming, User Experience, User Research, Advertising, BlockChain, Communication, Computational Logic, Computer Graphics, Computer Science, Continuous Integration, Database Administration, Database Application, Database Design, Finance, Interactive Design, Journalism, Marketing, Mathematical Theory & Analysis, Mathematics, Operating Systems, Security Engineering, Software Framework, System Programming, Systems Design, Web Design

      4.6

      (34.9k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      무료

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      Princeton University

      Computer Science: Programming with a Purpose

      획득할 기술: Computer Programming, Java Programming, Algorithms, Theoretical Computer Science, C Programming Language Family, Data Visualization, Plot (Graphics), Python Programming, Computational Logic, Computer Science, Data Management, Data Structures, Entrepreneurship, Leadership and Management, Mobile Development, Operations Research, Other Programming Languages, Problem Solving, Programming Principles, Research and Design, Statistical Programming, Strategy and Operations

      4.7

      (863개의 검토)

      Beginner · Course · 1-3 Months

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      University of Pennsylvania

      Introduction to Programming with Python and Java

      획득할 기술: Computer Programming, Python Programming, Statistical Programming, Java Programming, Mobile Development, Data Analysis, Programming Principles, Theoretical Computer Science, Data Visualization, Mathematics, Data Management, Data Structures, Software Engineering, Software Testing, Data Mining, Plot (Graphics), Computational Thinking, Entrepreneurship, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Research and Design, Data Science

      4.4

      (1.1k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of London

      Bachelor of Science in Computer Science

      획득할 기술: Computer Programming, Theoretical Computer Science, Web Development, Mathematics, Algorithms, Data Management, Databases, C Programming Language Family, Javascript, Software Engineering, C++ Programming, Programming Principles, Statistical Programming, Data Structures, Mathematical Theory & Analysis, Operating Systems, SQL, Computer Graphics, Machine Learning, Probability & Statistics, Computational Logic, Computer Architecture, Software Testing, Computer Networking, Human Computer Interaction, Security Engineering, Data Analysis, Python Programming, Agile Software Development, Network Security, Regression, Mobile Development, Software Architecture, Software Security, System Security, Algebra, Full-Stack Web Development, General Statistics, HTML and CSS, Interactive Design, Linear Algebra, Network Architecture, Network Model, Other Programming Languages, Probability Distribution, User Experience, Web Design, Design and Product, Product Design, Deep Learning, Data Visualization, Artificial Neural Networks, Back-End Web Development, Business Psychology, Calculus, Cloud Computing, Cloud Storage, Combinatorics, Computational Thinking, Computer Programming Tools, Database Design, Front-End Web Development, Graph Theory, Leadership and Management, Microarchitecture, Natural Language Processing, Professional Development, Research and Design, System Programming, User Experience Design, Internet Of Things, Journalism, Software Engineering Tools

      학위 취득

      Degree · 1-4 Years

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      University of California, Santa Cruz

      Coding for Everyone: C and C++

      획득할 기술: C Programming Language Family, Computer Programming, C++ Programming, Computer Science, Data Structures, Theoretical Computer Science, Graph Theory, Mathematics, Other Programming Languages, Programming Principles

      4.5

      (8.5k개의 검토)

      Beginner · Specialization · 3-6 Months

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      무료

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      University of Washington

      Programming Languages, Part A

      획득할 기술: Computer Programming, Other Programming Languages, Algorithms, Computational Logic, Computational Thinking, Mathematics, Programming Principles, Theoretical Computer Science

      4.9

      (1.7k개의 검토)

      Intermediate · Course · 1-3 Months

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      IBM Skills Network

      IBM DevOps and Software Engineering

      획득할 기술: Software Engineering, DevOps, Cloud Computing, Python Programming, Kubernetes, Computer Programming, Continuous Delivery, Continuous Integration, Data Analysis, IBM Cloud, Programming Principles, Web Development, Data Structures, Security Engineering, Operating Systems, Other Web Frameworks, Software Engineering Tools, Software Testing, System Programming, System Software, Algebra, Cloud Applications, Agile Software Development, Cloud Engineering, Application Development, Cloud Infrastructure, Network Security, Software Security, Computer Architecture, Devops Tools, Distributed Computing Architecture, Docker (Software), Full-Stack Web Development, Scrum (Software Development), Basic Descriptive Statistics, Cloud Management, Cloud Platforms, Cloud Storage, Data Visualization, Data Visualization Software, Exploratory Data Analysis, Security Software, Software As A Service, Algorithms, Bioinformatics, BlockChain, Business Analysis, Collaboration, Communication, Computational Logic, Computer Graphics, Computer Networking, Computer Programming Tools, Data Management, Databases, Design and Product, Entrepreneurship, Finance, Human Computer Interaction, Interactive Design, Journalism, Leadership and Management, Linux, Mathematical Theory & Analysis, Mathematics, Operations Management, Planning, Probability & Statistics, Product Design, Product Development, Project Management, SQL, Security Strategy, Software Architecture, Software Framework, Statistical Programming, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, System Security, Systems Design, Theoretical Computer Science

      4.6

      (36.3k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

    programming과(와) 관련된 검색

    programming for everybody
    programming for everybody (getting started with python)
    programming foundations with javascript, html and css
    programming with javascript
    programming languages, part a
    programming languages, part b
    programming in python
    programming fundamentals
    1234…84

    요약하자면, 여기에 가장 인기 있는 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
    • Google IT Automation with Python: Google
    • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
    • IBM Full Stack Software Developer: IBM Skills Network
    • Computer Science: Programming with a Purpose: Princeton University
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Bachelor of Science in Computer Science: University of London
    • Coding for Everyone: C and C++: University of California, Santa Cruz

    프로그래밍에 대한 자주 묻는 질문

    • Programming is the act of instructing computers on how to perform tasks through computer languages, also known as “programming languages” or “coding.” It involves analysis, generating algorithms, profiling algorithms’ accuracy and resources consumption, and the implementation of these languages.

      Some popular programming languages include C Programming, Perl, Java, Python, JavaScript, and Ruby.

      Programming is important to learn for anyone interested in coding for personal reasons or to begin careers related to the web. Successful learners will be able to build the operating systems, applications, websites, programs, and other computing systems we use every day.‎

    • According to collegegrad.com, the median annual wage for Computer Programmers is $84,280. Despite concerns of Programming jobs in the U.S. being outsourced, CompTIA shares that the top 10 specialized skills employers are looking for include multiple Programming languages. Staying on top of hot technologies such as Python can help Programmers stay in-demand.

      Programming languages make for transferable skills that can lend to various opportunities in addition to Programmer, such as: Computer and Information Research Scientist, Computer Hardware Engineer, Computer Network Architect, Computer Specialist, Computer Systems Analyst, and others that are related.‎

    • Through Coursera, Programming is covered in various courses. These courses focus on learning how to program and analyze data with Python; how to write fun and useful programs; how to apply fundamental programming concepts, such as data structures; how to program in Scratch; how to think like a Software Engineer; and more.

      Lessons in these courses are taught by professors from top universities such as Duke University, UC Santa Cruz, University of Colorado, and others. Learners can explore Programming with professors specializing in Computer Science, Computer Engineering, and related fields through video lectures, readings, quizzes, and others.‎

    • Excellent computer skills and a background in computer science—whether form a career, internship, or high school or college level classes—can help prepare you to learn about programming. You may also benefit from a background in software development, information systems, information technology, and information technology. Even if you are self-taught in one of these areas, you may better understand your programming studies. Those who study computer programming can benefit from learning as much math as possible beforehand, and any training in electrical or computer engineering can also help you learn. Certifications in languages like Java or C++ may be helpful. And, in some cases, you may find that studying business, art, music, or graphic design can help you, depending on what type of programming you want to do.‎

    • Because computer programming can be complicated, you must be patient and good at concentrating for long periods of time to take on a role in the field. People who are easily frustrated may not enjoy this type of career. Excellent analytical skills are a must, and you should also have a good eye for detail—that includes being able to spot and fix errors quickly. Good troubleshooting and problem-solving skills can also help you tackle a role in the field of computer programming. Organization is important, and you must be comfortable spending time alone as well.‎

    • Anyone who enjoys math, logic, and problem solving, as well as working with computers, applications, and software, may be suited to learn programming. You can learn it as a hobby, or you may want to study it if you're interested in a competitive career with a great outlook for the future. If you already work in the computer science field, learning programming can help you advance your career or explore a different aspect of it. The more you learn, the more marketable you are and the more likely you are to land a job or steady freelance work.‎

    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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