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    • C Programming

    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

    • C

      Coursera Project Network

      Flask for Beginners: Creating an Application

      Skills you'll gain: Flask (Web Framework), Application Deployment, Web Applications, Application Frameworks, Application Development, Full-Stack Web Development, Web Development, HTML and CSS

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Mobile App Development Capstone Project 

      Skills you'll gain: Mobile Development, React Native, iOS Development, User Story, Flutter (Software), Android Development, User Interface and User Experience (UI/UX) Design, User Interface (UI), Figma (Design Software), Application Deployment, UI Components, Application Programming Interface (API), GitHub, Data Storage

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Introducción al análisis de sistemas de control con MATLAB

      Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introducción al HTML5

      Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Web Design, Web Design and Development, Usability, Web Applications, Cascading Style Sheets (CSS), Web Content, Verification And Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Software Testing for Developers

      Skills you'll gain: Jest (JavaScript Testing Framework), User Acceptance Testing (UAT), Cucumber (Software), Postman API Platform, Software Testing, Behavior-Driven Development, Test Tools, Selenium (Software), Test Driven Development (TDD), Unit Testing, Acceptance Testing, Performance Testing, Functional Testing, Test Automation, Usability Testing, Application Programming Interface (API), User Interface (UI), Test Case, API Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Python for Command-and-control, Exfiltration and Impact

      Skills you'll gain: Threat Modeling, Cyber Operations, Threat Detection, Cybersecurity, Incident Response, Scripting, Command-Line Interface, Python Programming, Encryption, Network Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      How to Modernize applications with IBM CICS

      Skills you'll gain: Transaction Processing, Hybrid Cloud Computing, COBOL (Programming Language), Mainframe Technologies, Mainframe Computing, IBM Cloud, Cloud Applications, Enterprise Application Management, Application Servers, Application Development, Application Programming Interface (API), Middleware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Statistics, Data Visualization, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Scientific Visualization, Systems Analysis, Data Literacy, Data Analysis Software, R Programming, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      Nanjing University

      软件测试 (Software Testing)

      Skills you'll gain: Software Testing, Functional Testing, System Testing, Performance Testing, Debugging, Unit Testing, Test Automation, Test Case, Integration Testing, Selenium (Software), Mobile Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Data Visualization: Matplotlib & Seaborn

      Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      67 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to c programming

    c programming for everybody
    c programming with linux
    c programming: getting started - 1
    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…155156157…294

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

    • Flask for Beginners: Creating an Application: Coursera Project Network
    • Practical Data Science for Data Analysts: Corporate Finance Institute
    • Mobile App Development Capstone Project : SkillUp EdTech
    • Introducción al análisis de sistemas de control con MATLAB: Universidad de los Andes
    • Introducción al HTML5: University of Michigan
    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • Software Testing for Developers: Codio
    • Python for Command-and-control, Exfiltration and Impact: Infosec
    • How to Modernize applications with IBM CICS: IBM
    • Data Science Methods for Quality Improvement: University of Colorado Boulder

    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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