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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
    U

    University of Michigan

    Fundamentals of Data Analytics in the Public Sector with R

    Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Policy Analysis, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Python Data Visualization

    Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Data Processing, Data Integration, Data Import/Export, Program Development, Data Structures, Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    547 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

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

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    450 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Arm

    Introduction to Microprocessors

    Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Computer Systems, Computer Science, Embedded Systems, OS Process Management, Computer Programming, C (Programming Language), Program Development, C# (Programming Language)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Foundations of marketing analytics

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    762 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Back-End

    Skills you'll gain: Back-End Web Development, Program Development, Algorithms, Integrated Development Environments, Programming Principles, Pseudocode, Debugging, Computational Thinking, Engineering Software, Diagram Design, C# (Programming Language), Version Control, Data Flow Diagrams (DFDs), Software Engineering, GitHub, Git (Version Control System), Data Structures, Microsoft Copilot

    4.6
    Rating, 4.6 out of 5 stars
    ·
    104 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Advanced Topics in Derivative Pricing

    Skills you'll gain: Derivatives, Credit Risk, Financial Market, Portfolio Risk, Capital Markets, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Operations Research, Mathematical Modeling, Probability Distribution, Applied Mathematics, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    106 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Linux Basics: The Command Line Interface - 6

    Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), Computer Programming, Open Source Technology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Hardware Description Languages for FPGA Design

    Skills you'll gain: Verification And Validation, Systems Design, Software Design, Computational Logic, Computer Engineering, Embedded Systems, Hardware Architecture, Simulations, Test Automation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    622 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    535 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
  • Python Data Visualization: Rice University
  • Deep Learning with Keras and Tensorflow: IBM
  • Supervised Machine Learning: Classification: IBM
  • Introduction to Microprocessors: Arm
  • Foundations of marketing analytics: ESSEC Business School
  • Foundations of Coding Back-End: Microsoft
  • Advanced Topics in Derivative Pricing: Columbia University
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Linux Basics: The Command Line Interface - 6: Dartmouth College

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