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    Programming Courses Online

    Master programming for software development. Learn various programming languages, algorithms, and problem-solving techniques.

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    Explore the Programming Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Functions, Methods, and Interfaces in Go

      Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Functional Design, Data Structures, Software Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Parallel programming (Scala 2 version)

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Programming Principles, Algorithms, Performance Tuning, Functional Design, Performance Testing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAP

      Understanding the Enterprise Systems Environment

      Skills you'll gain: Digital Transformation, Cloud Computing Architecture, Systems Design, Cloud Computing, SAP Applications, Cybersecurity, Software As A Service, Systems Analysis, Enterprise Architecture, Enterprise Resource Planning, Business Technologies, Data Modeling, Business Process Automation, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      204 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python Essentials for MLOps

      Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      274 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part II

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Programming Principles, Network Model, Java Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      APIs

      Skills you'll gain: Restful API, Django (Web Framework), API Design, Software Documentation, Application Programming Interface (API), Authentications, Authorization (Computing), Test Tools, Debugging, JSON, Performance Tuning, Data Validation, Extensible Markup Language (XML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      340 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Visual Basic Programming: Inheritance and Polymorphism

      Skills you'll gain: Unified Modeling Language, Visual Basic (Programming Language), Object Oriented Programming (OOP), Data Modeling, Program Development, Microsoft Development Tools, Computer Programming, .NET Framework, Data Import/Export, Data Structures, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      339 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EIT Digital

      Embedded Hardware and Operating Systems

      Skills you'll gain: Embedded Systems, Embedded Software, Internet Of Things, Operating Systems, Real-Time Operating Systems, Wireless Networks, System Programming, Hardware Architecture, Simulations, C (Programming Language), Network Protocols

      4.1
      Rating, 4.1 out of 5 stars
      ·
      625 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Aprende a programar con Python

      Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Relational Databases, Object-Relational Mapping, Software Design, Test Driven Development (TDD), Database Management, Unit Testing, Database Design, SQL, Debugging, Data Structures, Python Programming, JSON, File Management, Scripting, Software Installation, Development Environment, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Concurrency in Go

      Skills you'll gain: Go (Programming Language), Algorithms, OS Process Management, System Programming, Operating Systems, Computer Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      770 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Functions, Methods, and Interfaces in Go: University of California, Irvine
    • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Understanding the Enterprise Systems Environment: SAP
    • Python Essentials for MLOps: Duke University
    • Algorithms, Part II: Princeton University
    • APIs: Meta
    • Visual Basic Programming: Inheritance and Polymorphism: LearnQuest
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Embedded Hardware and Operating Systems: EIT Digital

    Frequently Asked Questions about Programming

    Programming courses on Coursera provide learners with essential skills that are fundamental to various computing tasks and technology careers, including:

    • Understanding basic to advanced concepts of programming languages such as Python, Java, and C++
    • Writing clean, efficient, and error-free code
    • Developing algorithms to solve problems and perform data analysis
    • Applying object-oriented programming (OOP) principles to organize software design
    • Using version control systems like Git to manage code changes
    • Developing web and mobile applications
    • Implementing security best practices in software development‎

    Coursera's programming courses are designed to meet learners at their point of need, regardless of their prior experience:

    • Beginners: No prior experience is necessary. Introductory courses start with the basics of programming and build foundational skills.
    • Intermediate Learners: Some understanding of basic programming concepts is helpful. Courses focus on more complex aspects of programming and software development.
    • Advanced Learners: For those with solid programming experience, advanced courses explore specialized areas like software engineering, advanced data structures, and complex algorithmic challenges. ‎

    Participating in programming courses on Coursera can lead to a variety of credentials that can highlight your skills and development:

    • Certificates of Completion: You can earn a certificate for each programming course completed, which can showcase your proficiency in specific programming languages or technologies.
    • Professional Certificates: These certificates are intended to prepare you for specific technology roles by combining coursework that builds a comprehensive skill set.
    • Specializations: These are focused on particular areas of programming and are designed to provide in-depth knowledge and practical skills that can be beneficial in the tech industry. ‎

    Mastering programming opens up a wide array of career opportunities across multiple industries, including:

    • Software Developer: Building and maintaining software systems.
    • Web Developer: Creating and optimizing websites and web applications.
    • Mobile App Developer: Designing applications for iOS and Android devices.
    • Systems Engineer: Ensuring that complex, multi-part systems function properly together.
    • Data Analyst: Analyzing data to help companies make informed decisions.
    • DevOps Engineer: Bridging the gap between development and operations in software production.‎

    Looking to enhance your team's programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our programming training options and make a purchase, please visit our Coursera for Teams page.‎

    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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