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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


  • U

    University of California San Diego

    Data Structures and Performance

    Skills you'll gain: Unit Testing, Data Structures, Java, JUnit, Performance Tuning, Debugging, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    JavaScript, jQuery, and JSON

    Skills you'll gain: JSON, jQuery, Javascript and jQuery, Ajax, Debugging, Event-Driven Programming, Javascript, PHP (Scripting Language), Object Oriented Programming (OOP), Data Import/Export, Web Applications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    845 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Building Web Applications in PHP

    Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Software Installation, Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    608 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    935 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Developing Data Products

    Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Statistical Reporting, Software Documentation, Web Applications, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Hands-on Internet of Things

    Skills you'll gain: Internet Of Things, Networking Hardware, Network Infrastructure, Network Routers, General Networking, Network Switches, Network Protocols, Network Architecture, Cloud Infrastructure, Wireless Networks, Network Administration, Local Area Networks, Wide Area Networks, Infrastructure Security, Data Science, Telecommunications, Communication Systems, Distributed Computing, Python Programming, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    623 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Python Data Products for Predictive Analytics

    Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Data Validation, Machine Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    253 reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression

    4.2
    Rating, 4.2 out of 5 stars
    ·
    378 reviews

    Mixed · Course · 1 - 4 Weeks

  • M

    Meta

    APIs

    Skills you'll gain: Restful API, API Testing, Django (Web Framework), API Design, Software Documentation, Application Programming Interface (API), Authentications, Authorization (Computing), Debugging, JSON, Performance Tuning, Data Validation, Extensible Markup Language (XML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    376 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    382 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Data Structures and Performance: University of California San Diego
  • JavaScript, jQuery, and JSON: University of Michigan
  • Building Web Applications in PHP: University of Michigan
  • Inferential Statistics: University of Amsterdam
  • Inferential Statistical Analysis with Python: University of Michigan
  • Developing Data Products: Johns Hopkins University
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Hands-on Internet of Things: University of Illinois Urbana-Champaign
  • Python Data Products for Predictive Analytics: University of California San Diego
  • Statistics for Genomic Data Science: Johns Hopkins University

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