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  • C Programming

C Programming Courses

C programming courses can help you learn syntax, data structures, algorithms, and memory management. You can build skills in debugging, optimizing code, and implementing efficient algorithms. Many courses introduce tools like GCC for compiling code, GDB for debugging, and libraries such as the Standard Template Library (STL) to enhance functionality. You'll also explore concepts like pointers, file handling, and dynamic memory allocation, which are crucial for developing robust applications.


Popular C Programming Courses and Certifications


  • I

    IBM

    Information Technology (IT) Fundamentals for Everyone

    Skills you'll gain: Information Technology, Computer Hardware, Cloud Computing, Network Troubleshooting, Software Installation, Technical Support and Services, Cybersecurity, Cloud Infrastructure, Hardware Troubleshooting, Data Storage, Database Software, Operating Systems, Computer Networking, Computer Security Awareness Training, Computer Programming, Virtual Private Networks (VPN), Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    277 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

  • É

    École Polytechnique Fédérale de Lausanne

    Introduction à la programmation orientée objet (en Java)

    Skills you'll gain: Object Oriented Programming (OOP), Java Programming, Java, Computer Programming, Software Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    319 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Alberta

    Client Needs and Software Requirements

    Skills you'll gain: Requirements Analysis, Requirements Elicitation, Requirements Management, Functional Requirement, Business Requirements, Product Requirements, Backlogs, User Requirements Documents, Scope Management, Change Control, User Story, System Requirements, Client Services, Acceptance Testing, Agile Software Development, Prioritization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Matplotlib, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    461 reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Introduction to HTML, CSS, & JavaScript

    Skills you'll gain: Responsive Web Design, Cascading Style Sheets (CSS), Web Development, Javascript, Bootstrap (Front-End Framework), Scripting, Browser Compatibility, Application Programming Interface (API), Back-End Web Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    816 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    Intelligent Digital Factories

    Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Computer Programming Tools, Development Environment, Wireless Networks, Automation, Digital Transformation, Real Time Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    317 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Trending in AI
    Trending in AI
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    350 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Model Deployment, Extract, Transform, Load, Federated Learning, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, Transfer Learning, Convolutional Neural Networks, iOS Development, Android Development, Data Preprocessing, Data Processing, Computer Vision, Swift Programming, MLOps (Machine Learning Operations), Model Evaluation, Mobile Development, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    The Unix Workbench

    Skills you'll gain: GitHub, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, Programming Principles, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Data Modeling, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    192 reviews

    Beginner · Course · 1 - 3 Months

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

  • Information Technology (IT) Fundamentals for Everyone: IBM
  • DevOps, DataOps, MLOps: Duke University
  • Introduction à la programmation orientée objet (en Java): École Polytechnique Fédérale de Lausanne
  • Client Needs and Software Requirements : University of Alberta
  • Statistics for Data Science with Python: IBM
  • Introduction to HTML, CSS, & JavaScript: IBM
  • Intelligent Digital Factories: L&T EduTech
  • Microsoft AI & ML Engineering: Microsoft
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • The Unix Workbench: Johns Hopkins University

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Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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