What is computer programming?

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.

Why is it important to learn 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.

What are typical careers that use computer programming?

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.

How can online courses help me learn 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.

검색
Computer Programming

필터링 기준

"computer programming"에 대한 1772개의 결과

University of London
Bachelor of Science in Computer Science
획득할 기술: Software Testing, Algorithms, Programming Principles, Microarchitecture, Calculus, Linear Algebra, General Statistics, Web Design, Theoretical Computer Science, Machine Learning, Probability & Statistics, Python Programming, Javascript, User Experience, Web Development, Computational Thinking, Databases, Operating Systems, Computer Program, Statistical Programming, Other Programming Languages, Computer Graphics, Product Design, C Programming Language Family, Agile Software Development, Computational Logic, Security Engineering, Computer Programming, Mathematical Theory & Analysis, Mathematics, Software Engineering, Computer Architecture, Full-Stack Web Development, System Security
학위 취득
Degree
무료
The University of Edinburgh
Code Yourself! An Introduction to Programming
획득할 기술: Algorithms, Computer Programming, Leadership and Management, Computer Program, Journalism, Software, Other Programming Languages, Programming Principles, Software Engineering, Language, Entrepreneurship, Problem Solving, Theoretical Computer Science, Research and Design
4.7
(2.8k개의 검토)
Beginner · Course
University of Michigan
Python for Everybody
획득할 기술: Application Programming Interfaces, 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
(249.9k개의 검토)
Beginner · Specialization
IBM
IBM DevOps and Software Engineering
획득할 기술: Agile Software Development, Algorithms, Application Development, 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, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Finance, Full-Stack Web Development, Human Computer Interaction, IBM Cloud, Interactive Design, Kubernetes, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, Operating Systems, Planning, Product Design, Product Development, Programming Principles, Project Management, Python Programming, Security, Security Engineering, Software, 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
(30.3k개의 검토)
Beginner · Professional Certificate
무료
무료
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
획득할 기술: Analytics, Apache, Applied Machine Learning, Bayesian Statistics, Big Data, Business Psychology, Cloud Computing, Cloud Platforms, Computer Architecture, Computer Programming, Data Management, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, Full-Stack Web Development, General Statistics, Google Cloud Platform, Hardware Design, Machine Learning, Probability & Statistics, Python Programming, Statistical Programming, Web Development
4.6
(16.8k개의 검토)
Intermediate · Professional Certificate
IBM
IBM Data Analyst
획득할 기술: Algebra, Analytics, 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, Linearity, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
(50.5k개의 검토)
Beginner · Professional Certificate
IBM
IBM Data Science
획득할 기술: Algebra, Algorithms, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Modeling, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, 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
(93.6k개의 검토)
Beginner · Professional Certificate
Hebrew University of Jerusalem
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
획득할 기술: Architecture, Logic, Computer Programming, Markov Model, Machine Learning, Microarchitecture, Language, Statistical Machine Learning, Computational Logic, Computer Architecture, Computer Vision, Hardware Design, Applied Machine Learning, Algorithms, Theoretical Computer Science
4.9
(3.1k개의 검토)
Mixed · Course

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

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

Bachelor of Science in Computer Science: University of London
Code Yourself! An Introduction to Programming: The University of Edinburgh
Python for Everybody: University of Michigan
IBM DevOps and Software Engineering: IBM
HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
計算機程式設計 (Computer Programming): National Taiwan University
Learn to Program: The Fundamentals: University of Toronto
Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
IBM Data Analyst: IBM
IBM Data Science: IBM

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.‎