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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

    • U

      University of Illinois Urbana-Champaign

      Hands-on Internet of Things

      Skills you'll gain: Internet Of Things, Networking Hardware, Network Infrastructure, Network Routers, General Networking, Embedded Software, Network Switches, Network Protocols, Network Architecture, Cloud Infrastructure, Wireless Networks, Infrastructure Security, Local Area Networks, Wide Area Networks, Virtual Local Area Network (VLAN), Emerging Technologies, Data Science, Telecommunications, Embedded Systems, Distributed Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      583 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Simulation, Algorithm Analysis, and Pointers

      Skills you'll gain: Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Programming Principles, File Management, Distributed Computing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Linear Algebra, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      255 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Minnesota

      Software Development Processes and Methodologies

      Skills you'll gain: Software Development Methodologies, Agile Methodology, Software Engineering, Software Development Life Cycle, Requirements Analysis, Application Deployment, Agile Software Development, Systems Development, Software Architecture, Verification And Validation, Process Driven Development, Waterfall Methodology, System Requirements, Software Testing, Scrum (Software Development), Release Management, User Requirements Documents, Development Testing, Software Design, Maintainability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      937 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Scrimba

      Frontend Development

      Skills you'll gain: User Interface (UI) Design, Color Theory, User Interface (UI), Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), HTML and CSS, Typography, React.js, Web Development Tools, JSON, Design, Event-Driven Programming, Web Design, Javascript, Debugging, Usability, Web Development, Node.JS, Front-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      455 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Managing an Agile Team

      Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, Team Performance Management, Team Management, Team Building, Team Leadership, Sprint Retrospectives, Backlogs, User Story, Kanban Principles, Sales Presentation, Lean Methodologies, Process Improvement, Selling Techniques, Prioritization, Discussion Facilitation, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Data Structures and Performance

      Skills you'll gain: Unit Testing, Data Structures, Development Testing, Java Programming, Software Testing, Performance Tuning, Debugging, Computer Programming, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to c programming

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    1…434445…287

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

    • Hands-on Internet of Things: University of Illinois Urbana-Champaign
    • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
    • Machine Learning: Regression: University of Washington
    • Sports Performance Analytics: University of Michigan
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Software Development Processes and Methodologies: University of Minnesota
    • Practical Machine Learning: Johns Hopkins University
    • Deep Learning with Keras and Tensorflow: IBM
    • Introduction to Data Analytics for Business: University of Colorado Boulder
    • Frontend Development: Scrimba

    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.‎

    Coursera's C Programming courses provide learners with a robust set of skills essential for software development:

    • Fundamental syntax and semantics of the C language
    • Techniques for effective problem solving and algorithm development
    • Understanding of memory management and the use of pointers
    • Skills in writing, compiling, and debugging C programs
    • Best practices for writing secure and efficient code
    • Application of C in developing firmware and operating systems‎

    C Programming courses on Coursera are structured to accommodate all learners:

    • Beginners without any programming experience can start with the basics of C.
    • Those with some programming background can improve their understanding of complex C concepts.
    • Advanced users can explore in-depth topics such as system programming and advanced data structures in C.‎

    Upon completing C Programming courses on Coursera, you have the opportunity to earn credentials that can support your professional growth:

    • Professional certificates that help confirm your understanding and skills in C programming.
    • Specializations that explore specific applications or advanced topics within C programming.
    • Certificates that may be valued by employers within the tech industry, reflecting your commitment to learning and developing relevant skills.‎

    Proficiency in C Programming can lead to a variety of technical roles, including:

    • Software Developer creating system software and embedded applications
    • Systems Engineer designing and implementing system solutions
    • Embedded Systems Developer working on hardware-software integration
    • Performance Engineer optimizing software for speed and efficiency
    • Technical Support Engineer troubleshooting and resolving code issues‎

    Yes, Coursera offers a variety of free courses across many topics, including C programming. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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