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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
    U

    University of Colorado Boulder

    Excel/VBA for Creative Problem Solving

    Skills you'll gain: Excel Macros, Visual Basic (Programming Language), Programming Principles, Data Import/Export, Microsoft Excel, Problem Solving, Computer Programming, Spreadsheet Software, Simulations, Code Review, Algorithms, UI Components, Debugging, Data Management, User Interface (UI), File I/O, Data Cleansing, Automation, Data Validation

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Python and Statistics for Financial Analysis

    Skills you'll gain: Statistical Inference, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Model Evaluation, Data Visualization, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    IBM Hybrid Cloud Architect

    Skills you'll gain: Cloud-Native Computing, Infrastructure as Code (IaC), Cloud Security, Cloud Storage, Hybrid Cloud Computing, Systems Analysis, Process Improvement, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Requirements Analysis, Data Modeling, Multi-Cloud, DevOps, Docker (Software), Solution Design, Microservices, Infrastructure As A Service (IaaS), Information Technology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Statistical Methods, Data Preprocessing, Applied Machine Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Program Design in Scala

    Skills you'll gain: Scala Programming, Software Design, Software Design Patterns, Functional Design, Event-Driven Programming, Java, Programming Principles, Performance Tuning, Data Structures, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze Data Using R for Statistical Analytics

    Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Build Testable Python Packages for AI

    Skills you'll gain: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Testability, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Web Applications for Everybody

    Skills you'll gain: Database Design, SQL, MySQL, PHP (Scripting Language), Relational Databases, JSON, jQuery, Hypertext Markup Language (HTML), Javascript and jQuery, Ajax, Databases, Data Modeling, Database Application, Database Development, Debugging, Web Applications, Object Oriented Programming (OOP), Web Development, Secure Coding, Javascript

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++ Basics: Selection and Iteration

    Skills you'll gain: Programming Principles, C++ (Programming Language), C and C++, Computer Programming, Integrated Development Environments, Pseudocode, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    969 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

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

  • Excel/VBA for Creative Problem Solving: University of Colorado Boulder
  • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
  • Genomic Data Science: Johns Hopkins University
  • IBM Hybrid Cloud Architect: IBM
  • IBM Machine Learning: IBM
  • Functional Program Design in Scala: École Polytechnique Fédérale de Lausanne
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Analyze Data Using R for Statistical Analytics: EDUCBA
  • Build Testable Python Packages for AI: Coursera
  • Web Applications for Everybody: University of Michigan

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)

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