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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


  • X

    Xi'an Jiaotong University

    c#高级编程

    Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), Computer Programming, .NET Framework, Algorithms, Data Structures, Command-Line Interface, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • T

    Tsinghua University

    Data Structures and Algorithms (II)

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Computer Programming

    Intermediate · Course · 1 - 3 Months

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Practical Python for AI Coding 2

    Skills you'll gain: Matplotlib, Data Visualization, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 3

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Integration, Python Programming, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Virginia

    Coding for Designers, Managers, and Entrepreneurs

    Skills you'll gain: User Story, Javascript, Model View Controller, Debugging, HTML and CSS, Prototyping, jQuery, Web Applications, Hypertext Markup Language (HTML), User Interface (UI), Interactive Design, Web Design and Development, Web Development Tools, Web Design, Application Programming Interface (API), Application Development, Cascading Style Sheets (CSS), Software Development, User Experience, User Accounts

    4.2
    Rating, 4.2 out of 5 stars
    ·
    74 reviews

    Beginner · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Function-Calling and Data Extraction with LLMs

    Skills you'll gain: LLM Application, Tool Calling, AI Workflows, Hugging Face, Unstructured Data, SQL, Web Services, Prompt Engineering, AI Enablement, Database Management, Restful API, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • S

    SAS

    Regression Modeling Fundamentals

    Skills you'll gain: Logistic Regression, Predictive Modeling, SAS (Software), Statistical Modeling, Regression Analysis, Model Evaluation, Statistical Analysis, Data Analysis, Model Deployment, Data Preprocessing, Statistical Methods, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EC-Council

    Secure Full Stack MEAN Developer

    Skills you'll gain: Node.JS, MongoDB, Angular, Full-Stack Web Development, JavaScript Frameworks, Restful API, Web Applications, Web Development, NoSQL, Front-End Web Development, Application Security, Web Development Tools, Application Programming Interface (API), API Design, Javascript, Database Management, Back-End Web Development, Servers, Middleware

    4.6
    Rating, 4.6 out of 5 stars
    ·
    91 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Meta

    Introducción al desarrollo de aplicaciones móviles para iOS

    Skills you'll gain: Apple iOS, Apple Xcode, Swift Programming, Mobile Development, Objective-C (Programming Language), User Interface (UI), Development Environment, Simulations, Storyboarding

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • c#高级编程: Xi'an Jiaotong University
  • Data Structures and Algorithms (II): Tsinghua University
  • Practical Python for AI Coding 2: Korea Advanced Institute of Science and Technology(KAIST)
  • Mastering Data Analysis with Pandas: Learning Path Part 3: Coursera
  • Coding for Designers, Managers, and Entrepreneurs: University of Virginia
  • Function-Calling and Data Extraction with LLMs: DeepLearning.AI
  • Análisis exploratorio de datos con Python y Pandas: Coursera
  • Regression Modeling Fundamentals: SAS
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Secure Full Stack MEAN Developer: EC-Council

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