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Programming Courses

Programming courses can help you learn coding languages like Python, Java, and JavaScript, as well as concepts such as algorithms, data structures, and software development methodologies. You can build skills in debugging, version control, and writing efficient code. Many courses introduce tools like Git for version control, integrated development environments (IDEs) like Visual Studio Code, and frameworks such as React or Django, that support developing web applications and software solutions.


Popular Programming Courses and Certifications


  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Feature Engineering, Statistical Analysis, Classification Algorithms, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    830 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Relational Databases (RDBMS)

    Skills you'll gain: Database Design, IBM DB2, Relational Databases, Databases, Database Management, PostgreSQL, MySQL, SQL, Database Architecture and Administration, Data Manipulation, Data Modeling, Data Import/Export, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    784 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Developing Mobile Apps with Flutter

    Skills you'll gain: Flutter (Software), Mobile Development, User Interface and User Experience (UI/UX) Design, React Native, Application Development, iOS Development, Apple iOS, User Story, User Interface (UI), Android Development, Databases, Database Management, Cross Platform Development, Application Programming Interface (API), Software Development Tools, Application Frameworks, Application Deployment, Back-End Web Development, Data Persistence, Application Performance Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Data Modeling, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    192 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of California, Irvine

    Concurrency in Go

    Skills you'll gain: Go (Programming Language), Algorithms, System Programming, Operating Systems, Computer Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Embedded Systems using C

    Skills you'll gain: C (Programming Language), Embedded Systems, Embedded Software, Debugging, System Programming, Hardware Architecture, Microarchitecture, Computer Architecture, Data Structures, Peripheral Devices

    4.1
    Rating, 4.1 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Algorithms, Python Programming, Mathematical Modeling, Game Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

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

    Intermediate · Course · 1 - 3 Months

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Data Visualization with R

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Dashboard, Leaflet (Software), Interactive Data Visualization, R Programming, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, Data Science, Data Analysis, User Interface (UI), UI Components

    4.6
    Rating, 4.6 out of 5 stars
    ·
    270 reviews

    Beginner · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Android App Components - Intents, Activities, and Broadcast Receivers

    Skills you'll gain: Git (Version Control System), Android Development, File I/O, Android Studio, Mobile Development, Data Persistence, Java Programming, Application Development, Event-Driven Programming, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    801 reviews

    Mixed · Course · 1 - 3 Months

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

  • Supervised Machine Learning: Regression: IBM
  • Introduction to Relational Databases (RDBMS): IBM
  • Developing Mobile Apps with Flutter: IBM
  • SQL for Data Science with R: IBM
  • Concurrency in Go: University of California, Irvine
  • Embedded Systems using C: EDUCBA
  • Deep Learning with Keras and Tensorflow: IBM
  • Principles of Computing (Part 1): Rice University
  • Sample-based Learning Methods: University of Alberta
  • Developing AI Applications on Azure: LearnQuest

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