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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.


More to explore:

Popular Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Sequences and Loops

    Skills you'll gain: Computational Thinking, Education Software and Technology, Digital pedagogy, Programming Principles, Debugging, Computer Programming, Computer Science, Brainstorming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Data Visualization with R

    Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

    4.9
    Rating, 4.9 out of 5 stars
    ·
    81 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Structures for Designers Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Software Design, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis

    Intermediate · Course · 1 - 3 Months

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Practice

    Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Performance Tuning, Computer Architecture, Hardware Architecture, System Design and Implementation, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Selenium WebDriver with Java and Frameworks for all levels

    Skills you'll gain: Ajax, Gherkin (Scripting Language), Test Tools, Test Script Development, Debugging, Integration Testing, Software Design Patterns, Test Data, Scripting, Web Development Tools, Data Structures, Automation, SQL, MySQL

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Spring Data Repositories

    Skills you'll gain: Spring Framework, Object-Relational Mapping, Transaction Processing, Data Persistence, Database Systems, Java, Restful API, Web Services, Web Applications

    3.9
    Rating, 3.9 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Amazon

    Application Development

    Skills you'll gain: Git (Version Control System), Software Development Methodologies, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, Systems Development, Functional Requirement, Software Engineering, User Requirements Documents, Agile Software Development, Application Design, Unified Modeling Language, Software Testing, JUnit, Agile Methodology, Spring Framework, Debugging, Java, Technical Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    AI CERTs

    AI for Vibe Coding

    Skills you'll gain: Vibe coding, Programming Principles, Prompt Engineering, OpenAI API, LangChain, Generative AI Agents, AI Enablement, Artificial Intelligence, Generative AI, Responsible AI, Computer Programming, Application Development, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), No-Code Development, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Data Structures with C: Upgrade a Rocket Display Module

    Skills you'll gain: Embedded Systems, C (Programming Language), Embedded Software, Data Structures, Programming Principles, Data Management, Performance Tuning, Software Development

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Computational Thinking for K-12 Educators: Sequences and Loops: University of California San Diego
  • Advanced Data Visualization with R: Johns Hopkins University
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Data Structures for Designers Using Python: University of Michigan
  • Developing FPGA-accelerated cloud applications with SDAccel: Practice: Politecnico di Milano
  • Selenium WebDriver with Java and Frameworks for all levels: Packt
  • Spring Data Repositories: LearnQuest
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • Application Development: Amazon
  • Data Science Fundamentals Part 1: Unit 1: Pearson

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