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    2153 results for "programming"

    • University of Michigan

      University of Michigan

      Python for Everybody

      Skills you'll gain: Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Data Management, Data Structures, Databases, Extract, Transform, Load, Javascript, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science, Web Development

      4.8

      (250.1k reviews)

      Beginner · Specialization

    • Free

      The University of Edinburgh

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Journalism, Language, Theoretical Computer Science, Problem Solving, Entrepreneurship, Research and Design, Computer Programming, Software Engineering, Leadership and Management, Software, Computer Program, Programming Principles, Algorithms, Other Programming Languages

      4.7

      (2.8k reviews)

      Beginner · Course

    • Free

      University of Toronto

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Python Programming, Business Analysis, Problem Solving, Syntax, Language, Computer Programming, Critical Thinking, Entrepreneurship, Leadership and Management, Research and Design, Statistical Programming, Strategy and Operations, Programming Principles, Semantics

      4.7

      (5.5k reviews)

      Beginner · Course

    • University of Pennsylvania

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Computational Thinking, Computer Programming, Data Analysis, Data Management, Data Structures, Data Visualization, Java Programming, Mathematical Theory & Analysis, Mathematics, Mobile Development, Plot (Graphics), Programming Principles, Python Programming, Software Engineering, Software Testing, Statistical Programming, Theoretical Computer Science

      4.4

      (836 reviews)

      Beginner · Specialization

    • Free

      University of Washington

      University of Washington

      Programming Languages, Part A

      Skills you'll gain: Theoretical Computer Science, Inference, Computational Thinking, Computer Programming, Computational Logic, Euler'S Totient Function, Functional Programming, Mathematics, Other Programming Languages, Programming Principles, Language, Algorithms

      4.9

      (1.6k reviews)

      Intermediate · Course

    • University of London

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Arithmetic, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Program, Computer Programming, Data Visualization, Mathematics, Microarchitecture, Network Security, Plot (Graphics), Security Engineering, Theoretical Computer Science

      4.2

      (1.1k reviews)

      Beginner · Specialization

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      Johns Hopkins University

      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

      Skills you'll gain: CSS, Web, HTML and CSS, Web Development, Html

      4.7

      (13.9k reviews)

      Mixed · Course

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      University of California, Santa Cruz

      University of California, Santa Cruz

      Coding for Everyone: C and C++

      Skills you'll gain: C Programming Language Family, Computer Program, Computer Programming, Data Structures, Mathematics, Other Programming Languages, Programming Principles

      4.5

      (7.8k reviews)

      Beginner · Specialization

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      Google

      Google

      Google IT Automation with Python

      Skills you'll gain: 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, Unit Testing

      4.7

      (30.5k reviews)

      Beginner · Professional Certificate

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      Google

      Google

      Crash Course on Python

      Skills you'll gain: Data Structures, Semantics, Python Programming, Computer Programming, Syntax, Programming Principles, Statistical Programming

      4.8

      (24.8k reviews)

      Beginner · Course

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      Duke University

      Duke University

      Java Programming and Software Engineering Fundamentals

      Skills you'll gain: Algorithms, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Cryptography, Data Analysis, Data Management, Data Structures, Entrepreneurship, General Statistics, HTML and CSS, Interfaces, Java Programming, Javascript, Leadership and Management, Machine Learning, Markov Model, Mobile Development, Network Architecture, Probability & Statistics, Problem Solving, Programming Principles, Research and Design, Security Engineering, Software, Software Engineering, Software Testing, Theoretical Computer Science, Web Design, Web Development

      4.6

      (19.9k reviews)

      Beginner · Specialization

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      IBM

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Application Development, Back-End Web Development, BlockChain, Cloud Applications, Cloud Computing, Cloud Foundry, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Continuous Integration, Data Management, Database Administration, Database Application, Database Design, Databases, DevOps, Devops Tools, Distributed Computing Architecture, Extract, Transform, Load, Finance, Front-End Web Development, Full-Stack Web Development, HTML and CSS, Human Computer Interaction, IBM Cloud, Interactive Design, Javascript, Kubernetes, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, NoSQL, Operating Systems, Other Web Frameworks, Python Programming, React (web framework), SQL, Security Engineering, Software, Software Architecture, Software As A Service, Software Engineering, Software Framework, Software Testing, Statistical Programming, System Programming, Systems Design, Theoretical Computer Science, Web Design, Web Development, Web Development Tools

      4.6

      (29.7k reviews)

      Beginner · Professional Certificate

    Searches related to programming

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

    In summary, here are 10 of our most popular programming courses

    • Python for Everybody: University of Michigan
    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Learn to Program: The Fundamentals: University of Toronto
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Programming Languages, Part A: University of Washington
    • Introduction to Computer Science and Programming: University of London
    • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
    • Coding for Everyone: C and C++: University of California, Santa Cruz
    • Google IT Automation with Python: Google
    • Crash Course on Python: Google

    Frequently Asked Questions about Programming

    • 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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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