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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

    • SkillUp EdTech

      Practice Exam for Certified Scrum Master (CSM) Certification

      Skills you'll gain: Agile Methodology, Sprint Retrospectives, Agile Project Management, Sprint Planning, Agile Software Development, User Story, Knowledge Transfer

      4.9
      Rating, 4.9 out of 5 stars
      ·
      46 reviews

      Advanced · Course · 1 - 4 Weeks

    • IBM

      Back-end Application Development Capstone Project

      Skills you'll gain: NoSQL, MongoDB, Flask (Web Framework), Application Deployment, Databases, Back-End Web Development, Database Systems, Django (Web Framework), Cloud Development, OpenShift, Cloud Applications, Microservices, Kubernetes, Web Applications, Code Review, Docker (Software), Application Development, Web Services, Restful API, Scalability

      5
      Rating, 5 out of 5 stars
      ·
      36 reviews

      Advanced · Course · 1 - 3 Months

    • Infosec

      JavaScript Security Part 1

      Skills you'll gain: Secure Coding, Application Security, Web Applications, Javascript, Web Development, Node.JS, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • IBM

      IBM COBOL Software Development Practices

      Skills you'll gain: COBOL (Programming Language), Agile Methodology, Technical Support, Software Development Life Cycle, Program Development, Scrum (Software Development), Software Development, Software Quality Assurance, Quality Assurance, Issue Tracking, Debugging, Software Documentation, Technical Documentation

      3.7
      Rating, 3.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Eindhoven University of Technology

      Improving Your Statistical Questions

      Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Random Forest Algorithm

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Instructor Network

      GenAI for Business Analysts: Faster Insights

      Skills you'll gain: Business Analysis, Business Process Modeling, Business Analytics, Stakeholder Management, Generative AI Agents, Business Process, Stakeholder Communications, Business Intelligence, Business Process Improvement, Data Ethics, Artificial Intelligence, Data Visualization, Automation, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Princeton University

      Алгоритмы, часть I

      Skills you'll gain: Data Structures, Algorithms, Java, Computer Programming, Object Oriented Programming (OOP), Theoretical Computer Science, Spatial Analysis, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 3 - 6 Months

    • LearnQuest

      Tables, Data & Networking in iOS

      Skills you'll gain: JSON, Apple iOS, Mobile Development, Application Programming Interface (API), Swift Programming, Data Storage, Model View Controller, Data Modeling, Data Storage Technologies, UI Components, Network Protocols

      4.6
      Rating, 4.6 out of 5 stars
      ·
      137 reviews

      Advanced · Course · 1 - 4 Weeks

    • Genentech

      Hands On Clinical Reporting Using R

      Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Pharmaceuticals, Data Modeling, R Programming, Technical Communication, Data Analysis Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Duke University

      Cloud Data Engineering

      Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Pipelines, Amazon Web Services, Command-Line Interface, Data Processing, Continuous Integration, Python Programming, Data Governance, Rust (Programming Language), Unix Commands

      4.1
      Rating, 4.1 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to c programming

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    1…118119120…288

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

    • Practice Exam for Certified Scrum Master (CSM) Certification: SkillUp EdTech
    • Back-end Application Development Capstone Project: IBM
    • JavaScript Security Part 1: Infosec
    • Exploratory Data Analysis: University of Leeds
    • IBM COBOL Software Development Practices: IBM
    • Improving Your Statistical Questions: Eindhoven University of Technology
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • GenAI for Business Analysts: Faster Insights: Coursera Instructor Network
    • Алгоритмы, часть I: Princeton University
    • Tables, Data & Networking in iOS: LearnQuest

    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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