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  • C Programming

C Programming Courses

C programming courses can help you learn syntax, data structures, algorithms, and memory management. You can build skills in debugging, optimizing code, and implementing efficient algorithms. Many courses introduce tools like GCC for compiling code, GDB for debugging, and libraries such as the Standard Template Library (STL) to enhance functionality. You'll also explore concepts like pointers, file handling, and dynamic memory allocation, which are crucial for developing robust applications.

Popular C Programming Courses and Certifications


  • C

    Coursera

    Supply Chain Network Optimization Using MILP on RStudio

    Skills you'll gain: Operations Research, Supply Chain Systems, Supply Chain, Supply Chain Management, Supply Chain Planning, Operational Analysis, Process Optimization, Model Optimization, Capacity Planning, Production Planning, Data Analysis, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Introduction to Next.js

    Skills you'll gain: JavaScript Frameworks, React.js, Application Development, Application Frameworks, Application Deployment, Web Frameworks, Web Applications, Front-End Web Development, Development Environment, Cascading Style Sheets (CSS), Web Development, Routing Protocols, Frontend Performance, Responsive Web Design, Configuration Management, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Data Structures in Python

    Skills you'll gain: Data Storage

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    R البرمجة باستخدام لغة

    Skills you'll gain: R (Software), R Programming, Statistical Programming, Statistical Software, Statistical Analysis, Statistical Methods, Debugging, File I/O, Data Analysis, Simulations, Programming Principles, Data Import/Export, Data Processing, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Business Analytics: Excel Optimization & Simulation

    Skills you'll gain: Operations Research, Resource Allocation, Simulation and Simulation Software, Microsoft Excel, Business Analytics, Data-Driven Decision-Making, Operational Analysis, Transportation Operations, Analytics, Risk Modeling, Business Operations, Risk Analysis, Spreadsheet Software, Process Optimization, Statistical Methods, Business Modeling, Decision Making, Model Optimization, Logistics, Production Planning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universiteit Leiden

    Population Health: Predictive Analytics

    Skills you'll gain: Predictive Analytics, Predictive Modeling, Model Evaluation, R Programming, Preventative Care, Statistical Modeling, Sample Size Determination, Regression Analysis, Statistical Machine Learning, Precision Medicine, Data Preprocessing, Diagnostic Tests

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Quantitative Research Methods: Tools for Data Analysis

    Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistical Reporting, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Descriptive Analytics, Research Methodologies, Statistical Methods, R (Software), Research, R Programming, Data Collection, Research Reports, Correlation Analysis, Data Ethics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    4.3
    Rating, 4.3 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    Leveraging Generative AI for Social Impact Organizations

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Responsible AI, AI Workflows, Generative AI, AI Integrations, Data Ethics, AI literacy, Social Impact, Artificial Intelligence, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Software, Probability & Statistics, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Wrangling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of IT Fundamentals

    Skills you'll gain: Programming Principles, Information Technology, Operating Systems, Web Applications, Collaborative Software, Computer Literacy, Computing Platforms, Computer Programming, Python Programming, Application Development, System Software, Linux, Application Design, Microsoft Windows, Mac OS, Package and Software Management, Open Source Technology, Software Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Integrations, Random Forest Algorithm, Diagnostic Tests, Clinical Experience, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Supply Chain Network Optimization Using MILP on RStudio: Coursera
  • Introduction to Next.js: Coursera
  • Data Structures in Python: Google
  • R البرمجة باستخدام لغة: Johns Hopkins University
  • Advanced Business Analytics: Excel Optimization & Simulation: Johns Hopkins University
  • Population Health: Predictive Analytics: Universiteit Leiden
  • Quantitative Research Methods: Tools for Data Analysis: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Leveraging Generative AI for Social Impact Organizations: University of Michigan
  • Statistics and Data Analysis with R: University of Colorado Boulder

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