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    Programming Courses Online

    Master programming for software development. Learn various programming languages, algorithms, and problem-solving techniques.

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    Explore the Programming Course Catalog

    • C

      Coursera Project Network

      Prompt Engineering with GPT: Programming for Custom Content

      Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Large Language Modeling, Python Programming, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Android Mobile Application Development

      Skills you'll gain: Android Studio, Android Development, Android (Operating System), Mobile Development, Gradle, Application Development, Integrated Development Environments, Development Environment, Virtual Environment, Extensible Markup Language (XML), UI Components

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Relational Databases (RDBMS)

      Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      704 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Back-End Apps with Node.js and Express

      Skills you'll gain: Node.JS, Server Side, Restful API, Back-End Web Development, JavaScript Frameworks, Cloud Applications, Web Applications, Application Programming Interface (API), Web Servers, Javascript, Authentications, Package and Software Management, JSON, Middleware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      529 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Programación en Python

      Skills you'll gain: Data Visualization Software, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Scripting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      194 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, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      947 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      257 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      923 reviews

      Mixed · Course · 1 - 4 Weeks

    • N

      Nanjing University

      用Python玩转数据 Data Processing Using Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Statistical Analysis, Data Mining, Data Analysis, Data Processing, Pandas (Python Package), NumPy, Web Scraping, Python Programming, Data Manipulation, Programming Principles, User Interface (UI) Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Web Design: Strategy and Information Architecture

      Skills you'll gain: Information Architecture, Persona (User Experience), UI/UX Strategy, User Experience Design, Web Design, Wireframing, User Research, Mockups, Usability Testing, Agile Methodology, Waterfall Methodology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Functional Program Design in Scala

      Skills you'll gain: Scala Programming, Software Design, Software Design Patterns, Functional Design, Event-Driven Programming, Java, Programming Principles, Performance Tuning, Data Structures, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Spacecraft Dynamics and Control

      Skills you'll gain: Control Systems, Mechanics, Torque (Physics), Vibrations, Linear Algebra, Numerical Analysis, Engineering Calculations, Simulations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Visualization (Computer Graphics), Simulation and Simulation Software, Applied Mathematics, Engineering, Verification And Validation, Advanced Mathematics, Estimation, Matlab

      4.8
      Rating, 4.8 out of 5 stars
      ·
      427 reviews

      Advanced · Specialization · 3 - 6 Months

    Programming learners also search

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    1…626364…282

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

    • Prompt Engineering with GPT: Programming for Custom Content: Coursera Project Network
    • Introduction to Android Mobile Application Development : Meta
    • Introduction to Relational Databases (RDBMS): IBM
    • Developing Back-End Apps with Node.js and Express: IBM
    • Programación en Python: Universidad de los Andes
    • Deep Learning with Keras and Tensorflow: IBM
    • Sports Performance Analytics: University of Michigan
    • Algorithms for DNA Sequencing: Johns Hopkins University
    • 用Python玩转数据 Data Processing Using Python: Nanjing University
    • Web Design: Strategy and Information Architecture: California Institute of the Arts

    Frequently Asked Questions about Programming

    Programming courses on Coursera provide learners with essential skills that are fundamental to various computing tasks and technology careers, including:

    • Understanding basic to advanced concepts of programming languages such as Python, Java, and C++
    • Writing clean, efficient, and error-free code
    • Developing algorithms to solve problems and perform data analysis
    • Applying object-oriented programming (OOP) principles to organize software design
    • Using version control systems like Git to manage code changes
    • Developing web and mobile applications
    • Implementing security best practices in software development‎

    Coursera's programming courses are designed to meet learners at their point of need, regardless of their prior experience:

    • Beginners: No prior experience is necessary. Introductory courses start with the basics of programming and build foundational skills.
    • Intermediate Learners: Some understanding of basic programming concepts is helpful. Courses focus on more complex aspects of programming and software development.
    • Advanced Learners: For those with solid programming experience, advanced courses explore specialized areas like software engineering, advanced data structures, and complex algorithmic challenges. ‎

    Participating in programming courses on Coursera can lead to a variety of credentials that can highlight your skills and development:

    • Certificates of Completion: You can earn a certificate for each programming course completed, which can showcase your proficiency in specific programming languages or technologies.
    • Professional Certificates: These certificates are intended to prepare you for specific technology roles by combining coursework that builds a comprehensive skill set.
    • Specializations: These are focused on particular areas of programming and are designed to provide in-depth knowledge and practical skills that can be beneficial in the tech industry. ‎

    Mastering programming opens up a wide array of career opportunities across multiple industries, including:

    • Software Developer: Building and maintaining software systems.
    • Web Developer: Creating and optimizing websites and web applications.
    • Mobile App Developer: Designing applications for iOS and Android devices.
    • Systems Engineer: Ensuring that complex, multi-part systems function properly together.
    • Data Analyst: Analyzing data to help companies make informed decisions.
    • DevOps Engineer: Bridging the gap between development and operations in software production.‎

    Looking to enhance your team's programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our programming training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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