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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 Trial
      Free Trial
      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

    • D

      Duke University

      Object-Oriented Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Python Programming, Simulations

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      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: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Ggplot2, Data Manipulation, Statistical Software, Graphing, Data Visualization, Simulations, Data Structures, Software Installation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      SAS Programmer

      Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Data Validation, Exploratory Data Analysis, Descriptive Statistics, Statistical Programming, Statistical Analysis, Data Processing, Data Integration, SQL, Data Presentation, Debugging, Program Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Electrical Safety, Electric Power Systems, Simulations, Control Systems, Estimation, Thermal Management, Power Electronics, Electronic Components, Mathematical Modeling, Electrical Engineering, Basic Electrical Systems, Energy and Utilities, Probability, Systems Engineering, Electrical Power, Matlab, Electronic Systems, Failure Analysis, Electrical Substation, Simulation and Simulation Software

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Advanced · Course · 1 - 3 Months

    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…212223…294

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

    • Introduction to Spreadsheets and Models: University of Pennsylvania
    • Object-Oriented Programming in Python: Duke University
    • Blockchain Basics: University at Buffalo
    • Introduction to Probability and Data with R: Duke University
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • SAS Programmer: SAS
    • Statistics with Python: University of Michigan
    • Introduction to Machine Learning: Duke University
    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Algorithms for Battery Management Systems: 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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