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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

    Python for Data Visualization: Matplotlib & Seaborn

    Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    76 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Bioinformatic Methods II

    Skills you'll gain: Bioinformatics, Biostatistics, Molecular Biology, Network Analysis, Database Software, Health Informatics, Data Processing, Data Visualization Software, Scientific Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    487 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization in R with ggplot2

    Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    131 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Non-Linear Data Structures

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Copenhagen

    Understanding Patient Perspectives on Medications

    Skills you'll gain: Pharmacology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Access Bioinformatics Databases with Biopython

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Wrangling, Database Software, File I/O, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    A

    Amazon Web Services

    AWS Generative AI Applications

    Skills you'll gain: Responsible AI, Generative AI, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Workflows, Agentic systems, AI Enablement, AI Product Strategy, Generative AI Agents, Amazon Web Services, AI Orchestration, Application Programming Interface (API), Application Development, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, LLM Application, Solution Architecture, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    100 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    313 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    Maven Analytics

    ChatGPT & Generative AI for Data Analytics

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, AI Enablement, Microsoft Excel, Artificial Intelligence, Data Analysis, Python Programming, SQL, Data Literacy, Query Languages, Business Intelligence, Data Science, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

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1…126127128…373

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

  • Python for Data Visualization: Matplotlib & Seaborn: Coursera
  • Bioinformatic Methods II: University of Toronto
  • Data Visualization in R with ggplot2: Johns Hopkins University
  • C++: Non-Linear Data Structures: Codio
  • Understanding Patient Perspectives on Medications: University of Copenhagen
  • Using probability distributions for real world problems in R: Coursera
  • Access Bioinformatics Databases with Biopython: Coursera
  • AWS Generative AI Applications: Amazon Web Services
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Generative Deep Learning with TensorFlow: DeepLearning.AI

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