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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


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Data Integration, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM COBOL Software Development Practices

    Skills you'll gain: COBOL (Programming Language), Agile Methodology, Technical Support, Software Development Life Cycle, Agile Project Management, Scrum (Software Development), Technical Support and Services, Software Development, Software Quality Assurance, Quality Assurance, Code Review, Debugging, Software Documentation, Computer Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Java - From Beginner to Intermediate

    Skills you'll gain: Java Programming, Object Oriented Design, Linux Commands

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    How to make invitations using Canva

    Skills you'll gain: Canva (Software), Graphic Design, Graphic and Visual Design, Design, Design Elements And Principles, Visual Design, Graphic and Visual Design Software, Digital Design, Creative Design, Design and Product, Event Management, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Create C# App Inheritance, Composition, and Aggregation

    Skills you'll gain: Object Oriented Programming (OOP), C# (Programming Language), Object Oriented Design, Application Development, Data Structures, Linux

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Enterprise Java Beans (EJBs) and the Jakarta Persistence API (JPA)

    Skills you'll gain: Java Platform Enterprise Edition (J2EE), Object-Relational Mapping, Java, Application Servers, Middleware, Application Deployment, Data Persistence, Event-Driven Programming, Enterprise Application Management, Server Side, Context Management, Business Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    APIs in Java: Call and Integrate an API

    Skills you'll gain: Restful API, Cloud API, Application Programming Interface (API), Postman API Platform, API Design, API Testing, Java Programming, Java, Mobile Development, Apache Maven, Program Development, Web Development, Eclipse (Software), Software Design

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SkillUp

    Software Development on SAP HANA

    Skills you'll gain: SAP S/4HANA, Data Modeling, Enterprise Resource Planning, Functional Requirement, Software Development Tools, Cloud Deployment, Organizational Structure, Real Time Data, Compliance Reporting, User Interface (UI) Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    Tsinghua University

    Data Structures and Algorithms (IV)

    Skills you'll gain: Data Structures, Algorithms, Pseudocode, Theoretical Computer Science, Computer Programming

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

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1…172173174…373

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

  • Pandas for Data Science: Duke University
  • Regression and Classification: University of Colorado Boulder
  • IBM COBOL Software Development Practices: IBM
  • Mastering Java - From Beginner to Intermediate: Packt
  • How to make invitations using Canva: Coursera
  • Create C# App Inheritance, Composition, and Aggregation: Coursera
  • Enterprise Java Beans (EJBs) and the Jakarta Persistence API (JPA): LearnQuest
  • APIs in Java: Call and Integrate an API: Coursera
  • Essential Causal Inference Techniques for Data Science: Coursera
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan

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