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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


  • L

    LearnQuest

    Writing Java Application Code

    Skills you'll gain: Java, Application Servers, Web Applications, Development Environment, Java Programming, Application Development, Program Development, Object Oriented Programming (OOP), Mobile Development, Computer Programming, UI Components, Event-Driven Programming, User Interface (UI), Command-Line Interface

    4.4
    Rating, 4.4 out of 5 stars
    ·
    61 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pontificia Universidad Católica de Chile

    Python para Ciencia de Datos

    Skills you'll gain: Data Visualization, Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Forecasting, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Arm

    Armv8-M Architecture Fundamentals

    Skills you'll gain: System Programming, Hardware Architecture, Embedded Systems, Computer Architecture, System Configuration, Debugging, Application Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    SkillUp

    Java App Development Project: Fundamentals, OOP & File I/O

    Skills you'll gain: Object Oriented Programming (OOP), File I/O, Data Persistence, Object Oriented Design, Java, Maintainability, Software Design, Program Development, Application Development, Data Management, Data Validation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Mastering Data Analysis with Pandas

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    180 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Minnesota

    Introduction to Automated Analysis

    Skills you'll gain: Test Automation, Regression Testing, Software Testing, Software Development Tools, Unit Testing, White-Box Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Debugging, Automation, Application Security

    4.2
    Rating, 4.2 out of 5 stars
    ·
    86 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Saïd Business School, University of Oxford

    AI Fundamentals in Financial Services

    Skills you'll gain: Financial Services, Artificial Intelligence, Responsible AI, FinTech, Banking Services, Financial Regulation, Banking, Fraud detection, Machine Learning, Applied Machine Learning, Unsupervised Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Reinforcement Learning, Big Data, Algorithms, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • G

    Google

    Data Structures in Python

    Skills you'll gain: Data Wrangling, Data Import/Export

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Writing Java Application Code: LearnQuest
  • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile
  • Armv8-M Architecture Fundamentals: Arm
  • Java App Development Project: Fundamentals, OOP & File I/O: SkillUp
  • Mastering Data Analysis with Pandas: Coursera
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Introduction to Automated Analysis: University of Minnesota
  • AI Fundamentals in Financial Services: Saïd Business School, University of Oxford
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Data Structures in Python: Google

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