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 Pennsylvania
Computational Thinking for Problem Solving
획득할 기술: Algorithms, Microarchitecture, Machine Learning, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Architecture, Python Programming, Thought, Inventory Management, Computer Program, Computer Programming, Statistical Programming, Supply Chain and Logistics, Applied Machine Learning
4.7
(1.1k개의 검토)
Beginner · Course
LearnQuest
Introduction to Computer Programming with Visual Basic
획득할 기술: Algorithms, Cloud Computing, Cloud Platforms, Computational Logic, Computer Architecture, Computer Networking, Computer Program, Computer Programming, Microarchitecture, Network Security, Other Programming Languages, Programming Principles, Security Engineering, Software As A Service, Theoretical Computer Science
4.6
(54개의 검토)
Beginner · Specialization
Google
Google Data Analytics
획득할 기술: Algorithms, 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 Type, 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, Ggplot2, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Network Security, Other Programming Languages, Plot (Graphics), Presentation, 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, Theoretical Computer Science, Visual Design
4.8
(63.4k개의 검토)
Beginner · Professional Certificate
Google
Google UX Design
획득할 기술: Accounting, Advertising, Analysis, 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, Planning, Problem Solving, Product Design, 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 Research, Visual Design, Web Design, Web Development
4.8
(36.6k개의 검토)
Beginner · Professional Certificate
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
(289개의 검토)
Beginner · Specialization
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
(69k개의 검토)
Beginner · Specialization
IBM
Data Science Fundamentals with Python and SQL
획득할 기술: Analysis, Basic Descriptive Statistics, Business Analysis, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Pandas, 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
(46.4k개의 검토)
Beginner · Specialization
DeepLearning.AI
Deep Learning
획득할 기술: Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Business Psychology, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Deep Learning, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Network Architecture, Probability & Statistics, Python Programming, Regression, Sales, Speech, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.8
(133.2k개의 검토)
Intermediate · Specialization
IBM
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 Lake, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Graph Theory, Hardware Design, IBM Cloud, 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, Relational Database, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
(34.8k개의 검토)
Beginner · Professional Certificate
IBM
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
(65.5k개의 검토)
Beginner · Specialization

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.

Computational Thinking for Problem Solving: University of Pennsylvania
Introduction to Computer Programming: University of London
Introduction to Computer Programming with Visual Basic: LearnQuest
Learn Fundamentals Of Computer Programming With C Language: Coursera Project Network
Google Data Analytics: Google
Google UX Design: Google
Machine Learning: DeepLearning.AI
Introduction to Data Science: IBM
Data Science Fundamentals with Python and SQL: IBM
Deep Learning: DeepLearning.AI

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.‎