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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

    • I

      Instituto Tecnológico de Aeronáutica

      Controle de Sistemas no Plano-s

      Skills you'll gain: Control Systems, Matlab, System Design and Implementation, Engineering Analysis, Mathematical Modeling, Simulations, Engineering Design Process

      4.8
      Rating, 4.8 out of 5 stars
      ·
      100 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Advanced Django: Introduction to Django Rest Framework

      Skills you'll gain: Django (Web Framework), Postman API Platform, Restful API, Data Validation, Authentications, Authorization (Computing), Application Programming Interface (API), API Design, JSON, Object-Relational Mapping, Model View Controller

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 4 Weeks

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universitat Autònoma de Barcelona

      Motores gráficos en videojuegos: game engine

      Skills you'll gain: Video Game Development, Computer Graphics, Visualization (Computer Graphics), Microsoft Visual Studio, Artificial Intelligence, Virtual Environment, Application Development, C++ (Programming Language), Computer Graphic Techniques, Animations, User Interface (UI), Middleware

      3.9
      Rating, 3.9 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      89 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Python Basic Structures: Lists, Strings, and Files

      Skills you'll gain: Computer Programming, Programming Principles, Data Import/Export, Data Structures, Scripting, Scripting Languages, Python Programming, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      90 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Using APIs for Network Automation

      Skills you'll gain: Postman API Platform, Restful API, Authentications, Application Programming Interface (API), JSON, Extensible Markup Language (XML), YAML, Network Monitoring, Automation, Network Engineering, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, NumPy, Simulations, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • N

      Nanjing University

      计算机系统基础(一) :程序的表示、转换与链接

      Skills you'll gain: C (Programming Language), Computer Systems, Data Structures, System Programming, Programming Principles, Computer Architecture, Computer Programming, Operating Systems, Data Storage, Computer Hardware, Application Security, Software Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      Postman Tutorial: Getting Started with API Testing

      Skills you'll gain: Postman API Platform, Application Programming Interface (API), Software Testing, Restful API, Development Environment, Collaborative Software, Web Development Tools, JSON, Data Import/Export, Authentications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introducción a las bases de datos

      Skills you'll gain: Relational Databases, MySQL, Database Management Systems, Database Theory, SQL, Database Design, Databases, Query Languages, NoSQL, Data Integrity, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      163 reviews

      Beginner · Course · 1 - 3 Months

    Programming learners also search

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

    • Controle de Sistemas no Plano-s: Instituto Tecnológico de Aeronáutica
    • Advanced Django: Introduction to Django Rest Framework: Codio
    • Machine Learning Using SAS Viya: SAS
    • Motores gráficos en videojuegos: game engine: Universitat Autònoma de Barcelona
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Python Basic Structures: Lists, Strings, and Files: Codio
    • Using APIs for Network Automation: Cisco Learning and Certifications
    • Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • 计算机系统基础(一) :程序的表示、转换与链接: Nanjing University

    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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