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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

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 1

      Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University at Buffalo

      Blockchain Basics

      Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Network Protocols, Encryption, Network Model, Data Structures, Distributed Computing, FinTech, Virtual Environment, Data Integrity, Emerging Technologies, Virtual Machines, Verification And Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      IBM UI/UX Designer

      Skills you'll gain: User Story, UI/UX Research, Information Architecture, Wireframing, User Experience, Agile Software Development, User Centered Design, Agile Methodology, Usability, Kanban Principles, Backlogs, Usability Testing, Design Thinking, User Flows, User Experience Design, Prototyping, Sprint Retrospectives, Agile Project Management, Interaction Design, User Interface (UI) Design

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      N

      National Taiwan University

      計算機程式設計 (Computer Programming)

      Skills you'll gain: Programming Principles, Computer Programming, C (Programming Language), Data Structures, Computer Science, Algorithms, Program Development, Command-Line Interface, Functional Design, Debugging, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      367 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Spreadsheets and Models

      Skills you'll gain: Regression Analysis, Spreadsheet Software, Google Sheets, Financial Modeling, Microsoft Excel, Data Modeling, Forecasting, Risk Analysis, Probability & Statistics, Business Modeling, Statistical Analysis, Simulation and Simulation Software, Process Improvement and Optimization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

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

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Data Analyst

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Modeling

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

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado System

      Data Warehousing for Business Intelligence

      Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Integration, Oracle Databases, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.1K reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Computer Programming, C++ (Programming Language), Theoretical Computer Science, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Systems, System Design and Implementation, Embedded Systems, Electronics Engineering, Eclipse (Software), Application Specific Integrated Circuits, Electronics, Program Development, Integrated Development Environments, Computer Architecture, Hardware Architecture, Software Development, Embedded Software, Verification And Validation, Debugging, Computer Engineering, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to c programming

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    1…212223…289

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

    • Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
    • Blockchain Basics: University at Buffalo
    • IBM UI/UX Designer: IBM
    • 計算機程式設計 (Computer Programming): National Taiwan University
    • Introduction to Spreadsheets and Models: University of Pennsylvania
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Statistics with Python: University of Michigan
    • Meta Data Analyst: Meta
    • Data Warehousing for Business Intelligence: University of Colorado System
    • Data Structures: University of California San Diego

    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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