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    Results for "c programming"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Linear Algebra, Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      567 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Solving Problems with Software

      Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting Languages, Scripting, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Computational Thinking, Computer Programming, Computational Logic, Computer Science, Advanced Mathematics, Mathematical Theory & Analysis, Program Development, Analysis, Design Strategies, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      221 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Unit Testing, Version Control, File Management, Jupyter, Scrum (Software Development), Application Development, Application Deployment, Python Programming, Data Structures, Collaborative Software, Web Scraping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Object Oriented Programming in Java

      Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), User Interface (UI), Computer Programming, Algorithms, Software Engineering, Data Structures, Software Documentation, Debugging

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

      Intermediate · 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…678…294

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

    • Deep Learning: DeepLearning.AI
    • Introduction to R Programming for Data Science: IBM
    • Java Programming: Solving Problems with Software: Duke University
    • Getting Started with SAS Programming: SAS
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Data Science: Foundations using R: Johns Hopkins University
    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Introduction to Data Science: IBM
    • Applied Software Engineering Fundamentals: IBM
    • IBM Data Analytics with Excel and R: IBM

    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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