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    C Programming Courses

    C programming courses can help you learn how to write efficient, low-level code used in systems programming, embedded systems, and software development.

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    Find the Best C Programming Course for Your Goals

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Exploit Development, Malware, & Defensive Strategies

      Skills you'll gain: Penetration Testing, Malware Protection, Network Monitoring, Object Oriented Programming (OOP), Cybersecurity, Network Security, Network Protocols, Network Analysis, Vulnerability Assessments, Scripting, Remote Access Systems, Python Programming, Command-Line Interface

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Flutter & Dart - Complete App Development Course

      Skills you'll gain: Flutter (Software), Mobile Development, User Interface (UI), JSON, User Interface and User Experience (UI/UX) Design, UI Components, Cross Platform Development, iOS Development, Maintainability, Object Oriented Programming (OOP), Database Development, Microsoft Visual Studio, Development Environment, Databases, Interactive Data Visualization, Application Development, Debugging, Data Storage Technologies, Programming Principles, Computer Programming

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Basic Principles of Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Designing and Documenting APIs with OpenAPI Specification

      Skills you'll gain: ASP.NET, Microsoft SQL Servers, Restful API, C# (Programming Language), Back-End Web Development, Database Development, JSON, SQL, .NET Framework, Web Services, Server Side, Programming Principles, Application Programming Interface (API), API Design, Database Management, Object Oriented Programming (OOP), Extensible Markup Language (XML)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      JavaScript Prototypes 2025 – The Complete Course

      Skills you'll gain: Prototyping, Object Oriented Design, Object Oriented Programming (OOP), Javascript, Software Design Patterns, Software Design, Software Architecture

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      70+ JavaScript Challenges - Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Javascript, Programming Principles, Object Oriented Programming (OOP), Debugging, Computer Science

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Practical Geospatial Geostatistical Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Box Plots, Statistical Methods, Statistical Modeling, R Programming, Plot (Graphics), Statistical Analysis, Rmarkdown, Probability & Statistics, Data Cleansing, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Harnessing Ollama – Create Local LLMs with Python

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Python Programming, Command-Line Interface, Natural Language Processing, Data Store, Application Development, Application Programming Interface (API), Restful API, Development Environment, System Requirements, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Writing Clean Code: 20 Code Smells & How to Avoid Them

      Skills you'll gain: Software Design, Maintainability, Software Design Patterns, Object Oriented Design, Software Architecture, Code Review, Programming Principles, Debugging, Scalability

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Master ChatGPT & OpenAI APIs – Build AI Tools in Python

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling, Python Programming, Artificial Intelligence, Technical Communication, Natural Language Processing, Application Programming Interface (API), Application Development, User Interface (UI)

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta Android UI Development

      Skills you'll gain: Android Studio, Android Jetpack, Kotlin, Android Development, Android (Operating System), Responsive Web Design, Mobile Development, UI Components, Unit Testing, Gradle, User Interface (UI) Design, Object Oriented Programming (OOP), User Interface (UI), Application Development, Integrated Development Environments, Development Environment, Programming Principles, Test Driven Development (TDD), Cross Platform Development, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to c programming

    c programming for everybody
    c programming with linux
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    c programming: language foundations - 2
    c programming: advanced data types - 5
    c programming: pointers and memory management - 4
    c programming: modular programming and memory management - 3
    c programming: using linux tools and libraries - 7
    1…242526…294

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

    • Foundations of ML & Python for Data Science: Packt
    • Exploit Development, Malware, & Defensive Strategies: Packt
    • Flutter & Dart - Complete App Development Course: Packt
    • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
    • Designing and Documenting APIs with OpenAPI Specification: Board Infinity
    • JavaScript Prototypes 2025 – The Complete Course: Packt
    • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
    • Practical Geospatial Geostatistical Modeling: Case Western Reserve University
    • Harnessing Ollama – Create Local LLMs with Python: Packt
    • Writing Clean Code: 20 Code Smells & How to Avoid Them: Packt

    Why Learn C Programming?

    C is a foundational programming language known for its speed, portability, and control over system resources. It’s widely used in operating systems, embedded devices, and performance-critical applications. Learning C programming can help you build a strong base in computer science, understand how software interacts with hardware, and prepare for more advanced coding challenges.

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about C Programming

    Whether you’re learning C programming for software development, systems programming, or academic purposes, having a clear goal can guide your learning. Consistent practice with coding and debugging is critical. Join communities like Stack Overflow or Reddit's r/C_Programming to ask questions and share knowledge. Work on real projects such as creating small programs. Introduction to C and C++ Specialization by Duke University on is a great starting resource.‎

    Top options include C Programming for Beginners from Duke University and C Programming for Everybody from the University of Michigan. These courses cover everything from basic syntax to advanced topics like pointers, memory management, and data structures.‎

    Yes. Many C programming courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to write C code, understand control structures (like loops and conditionals), use functions, work with arrays and strings, and manage memory with pointers. Some courses also cover debugging and testing C programs.‎

    Not at all. Many courses are designed for beginners and introduce C concepts step by step. However, some familiarity with basic programming logic can be helpful, especially if you want to move on to more advanced topics or other programming languages.‎

    Yes. C programming is fundamental in areas like embedded systems, game development, and operating systems. Coursera courses can help you build job-ready skills, strengthen your programming foundation, and prepare for roles that require low-level programming expertise.‎

    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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