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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 California, Santa Cruz

      C for Everyone: Structured Programming

      Skills you'll gain: C (Programming Language), Debugging, C++ (Programming Language), Data Structures, Computer Programming, Command-Line Interface, Algorithms, Integrated Development Environments, Program Development, File Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      765 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: User Story, Software Development Life Cycle, Software Architecture, Sprint Retrospectives, Agile Software Development, Kanban Principles, DevOps, Backlogs, Software Design, Scrum (Software Development), Information Technology, Agile Project Management, Software Engineering, Computer Hardware, Agile Methodology, Sprint Planning, Cloud Computing, Cloud-Native Computing, Software Development Methodologies, Network Troubleshooting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      V

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, OpenAI, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, AI Personalization, Document Management, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Manipulation, Data Pipelines, Databricks, Database Design, Query Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM IT Project Manager

      Skills you'll gain: User Story, Stakeholder Engagement, Software Development Life Cycle, Software Architecture, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Agile Software Development, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Kanban Principles, Team Motivation, Backlogs, Information Technology, Sprint Retrospectives, Interviewing Skills, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Systems Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      333 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Large Language Modeling, Data Ethics, Artificial Intelligence, Program Development, Data Visualization Software, SQL, Python Programming, Query Languages, Image Analysis, Content Creation, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, AI Personalization, Large Language Modeling, Mobile Development, OpenAI, CI/CD, Software Development, Software Development Life Cycle, DevSecOps, Machine Learning Methods, Data Ethics, Artificial Intelligence, Cloud Applications, Natural Language Processing, Cloud Development, Prototyping, Software Architecture, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.6K reviews

      Advanced · Specialization · 1 - 3 Months

    • I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, OpenAI, Dashboard, Data Storytelling, Large Language Modeling, Artificial Intelligence, Program Development, SQL, Data Analysis, Image Analysis, Content Creation, Business Ethics, Virtual Environment, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      DevOps, Cloud, and Agile Foundations

      Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Technologies, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Agile Project Management, Cloud Hosting, Cloud Engineering, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to c programming

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    1…121314…289

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

    • C for Everyone: Structured Programming: University of California, Santa Cruz
    • IBM IT Scrum Master: IBM
    • AI Agent Developer: Vanderbilt University
    • Learn SQL Basics for Data Science: University of California, Davis
    • IBM IT Project Manager: IBM
    • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
    • Data Analysis with R: IBM
    • Generative AI for Data Analysts: IBM
    • Process Data from Dirty to Clean: Google
    • Generative AI for Mobile App Developers: IBM

    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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