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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

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    • E

      ESSEC Business School

      Foundations of marketing analytics

      Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Market Research, Customer Insights, R Programming, Data-Driven Decision-Making, Target Market, Data Analysis, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      760 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Genome Assembly Programming Challenge

      Skills you'll gain: Bioinformatics, Graph Theory, Epidemiology, Infectious Diseases, Network Analysis, Program Development, Molecular Biology, Computational Thinking, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      346 reviews

      Advanced · Course · 1 - 4 Weeks

    • M

      Meta

      The Full Stack

      Skills you'll gain: Full-Stack Web Development, Front-End Web Development, Django (Web Framework), Scalability, Responsive Web Design, Web Applications, Back-End Web Development, MySQL, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Cloud Computing, Application Programming Interface (API), Virtual Environment, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Build a mobile app with Google Sheets on Glide and no coding

      Skills you'll gain: Mobile Development, Google Sheets, Application Development, Cloud Applications, Application Deployment, Data Structures, User Accounts, Personalized Service, User Interface (UI) Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      666 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Create Interactive Dashboards with Streamlit and Python

      Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Data Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      395 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • R

      Rice University

      Python Data Visualization

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Mapping, Software Installation, Scripting, Data Processing, Data Integration, Data Import/Export, Scripting Languages, Data Structures, Software Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      542 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Programming with C#

      Skills you'll gain: C# (Programming Language), Restful API, Unity Engine, Object Oriented Programming (OOP), C and C++, .NET Framework, Video Game Development, ASP.NET, Object-Relational Mapping, Web Services, Application Development, Software Design Patterns, Database Management, Model View Controller

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part II

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Programming Principles, Network Model, Java Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of Colorado Boulder

      Excel/VBA for Creative Problem Solving, Part 2

      Skills you'll gain: Excel Macros, Visual Basic (Programming Language), Data Import/Export, Programming Principles, Spreadsheet Software, UI Components, Automation, Data Structures, Debugging, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…666768…287

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

    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
    • Foundations of marketing analytics: ESSEC Business School
    • Genome Assembly Programming Challenge: University of California San Diego
    • The Full Stack: Meta
    • Build a mobile app with Google Sheets on Glide and no coding: Coursera Project Network
    • Create Interactive Dashboards with Streamlit and Python: Coursera Project Network
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Python Data Visualization: Rice University
    • Programming with C#: Simplilearn

    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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