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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


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Number Theory and Cryptography

    Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    609 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    VLSI CAD Part II: Layout

    Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Systems Design, Computer Architecture, Network Routing, Computational Logic, Electrical Engineering, Data Structures, Algorithms, Graph Theory, Mathematical Modeling, Calculus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    283 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Starweaver

    Matlab and Simulink Basics

    Skills you'll gain: Matlab, Data Visualization, Simulation and Simulation Software, Mathematical Modeling, Data Analysis, Engineering Analysis, Data Integration, Programming Principles, Data Manipulation, Data Structures, Computer Programming, Debugging

    4.1
    Rating, 4.1 out of 5 stars
    ·
    55 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    585 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Embedded Systems using C

    4.1
    Rating, 4.1 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, File Systems, Linux, Scripting, Command-Line Interface, Performance Tuning, Programming Principles

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    163 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Concepts in Python: Loops, Functions and Returns

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    118 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Python Data Representations

    Skills you'll gain: File I/O, Development Environment, Data Structures, Data Storage, Scripting, Python Programming, Program Development, Scripting Languages, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Cisco Learning and Certifications

    Introduction to Network Automation

    Skills you'll gain: Software-Defined Networking, Network Engineering, Network Architecture, Scripting, Application Programming Interface (API), Data Modeling, General Networking, Network Planning And Design, Automation, Network Administration, Linux Commands, Python Programming, Network Protocols, Command-Line Interface

    4.7
    Rating, 4.7 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Number Theory and Cryptography: University of California San Diego
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
  • Matlab and Simulink Basics : Starweaver
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Embedded Systems using C: EDUCBA
  • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
  • Concepts in Python: Loops, Functions and Returns: Coursera

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