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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 Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Programming Principles, Data Processing, Data Structures, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of California, Davis

      Web Development for Beginners

      Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Application Deployment, Web Applications, Design Elements And Principles, Animations, Web Content, Mobile Development

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

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Histogram, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Essential Google Cloud Infrastructure: Core Services

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Cloud Computing, Cloud Storage, Data Storage, Key Management, User Accounts, System Monitoring, Security Management, NoSQL, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • R

      Rice University

      Python Programming Essentials

      Skills you'll gain: Programming Principles, Python Programming, Development Environment, Computer Programming, Integrated Development Environments, Debugging

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

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Software Testing and Automation

      Skills you'll gain: Open Web Application Security Project (OWASP), Cucumber (Software), Software Testing, Selenium (Software), Gherkin (Scripting Language), JUnit, Verification And Validation, Test Automation, Unit Testing, Security Testing, Regression Testing, Test Case, Testability, Behavior-Driven Development, Code Coverage, Performance Testing, Development Testing, Test Planning, Acceptance Testing, Test Tools

      4.3
      Rating, 4.3 out of 5 stars
      ·
      944 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Meta

      Meta iOS UI Development

      Skills you'll gain:

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Agile Development and Scrum

      Skills you'll gain: User Story, Agile Software Development, Agile Methodology, Kanban Principles, Backlogs, Sprint Retrospectives, Agile Project Management, Agile Product Development, Workflow Management, Sprint Planning, Team Building, Team Management, Devops Tools, Lean Methodologies, Prioritization, Continuous Improvement Process, Performance Measurement, Estimation

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

      Beginner · Course · 1 - 4 Weeks

    Searches related to c programming

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    1…262728…286

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

    • Python Functions, Files, and Dictionaries: University of Michigan
    • Web Development for Beginners: University of California, Davis
    • Understanding and Visualizing Data with Python: University of Michigan
    • Essential Google Cloud Infrastructure: Core Services: Google Cloud
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Python Programming Essentials: Rice University
    • Software Testing and Automation: University of Minnesota
    • Meta iOS UI Development: Meta
    • Introduction to Big Data: 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.‎

    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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