228 nuevos cursos de programación que empiezan en mayo

Como todos los meses, os traemos un lista de cursos online, en este caso de programación, que destacamos por su positiva valoración y relevancia. La lista de este mes de mayo es muy grande, con muchos cursos ya cursados y valorados por los usuarios:

  • 53 cursos de nivel básico
  • 129 cursos de nivel intermedio
  • 46 cursos de nivel avanzado

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Nivel básico

  1. Programming for Everybody (Getting Started with Python) – University of Michigan ★★★★★(2626)
  2. Introduction to Computer Science and Programming Using Python – Massachusetts Institute of Technology ★★★★★(115)
  3. Learn to Program: The Fundamentals – University of Toronto★★★★★(100)
  4. Intro to Computer Science – University of Virginia ★★★★☆(68)
  5. CS50’s Introduction to Computer Science – Harvard University★★★★★(67)
  6. Ruby on Rails: An Introduction – Johns Hopkins University★★★☆☆(55)
  7. Introduction to Linux – Linux Foundation ★★★★☆(37)
  8. Internet History, Technology, and Security – University of Michigan★★★★★(36)
  9. Introduction to VBA/Excel Programming – Cal Poly Pomona★★★★☆(26)
  10. [New] Introducción a la programación en Java: estructuras de datos y algoritmos – Universidad Carlos iii de Madrid
  11. Build a Modern Computer – First Principles: – Nand to Tetris (Project-Centered Course) – Hebrew University of Jerusalem★★★★★(23)
  12. Introduction to Cyber Security – The Open University ★★★★☆(19)
  13. Introducción a la programación orientada a objetos en Java – Universidad de los Andes ★★★★★(17)
  14. CS101: Computer Science 101 – Stanford University ★★★★☆(15)
  15. Web Security Fundamentals – KU Leuven University ★★★★☆(13)
  16. Networking: Introduction to Computer Networking – Stanford University ★★★★★(11)
  17. Creative Programming for Digital Media & Mobile Apps – University of London International Programmes ★★★★☆(11)
  18. HTML, CSS, and Javascript for Web Developers – Johns Hopkins University ★★★★★(10)
  19. Introduction to the Internet of Things and Embedded Systems – University of California, Irvine ★★★★☆(10)
  20. HTML5 Coding Essentials and Best Practices – World Wide Web Consortium (W3C) ★★★★☆(9)
  21. Introduction to Programming for the Visual Arts with p5.js – University of California, Los Angeles ★★★★★(7)
  22. Python Programming: A Concise Introduction – Wesleyan University★★★☆☆(5)
  23. Introduction to jQuery – Microsoft ★★★★☆(5)
  24. HTML5 and CSS Fundamentals – World Wide Web Consortium (W3C)★★★★☆(5)
  25. Introduction to Java Programming — Part 1 – The Hong Kong University of Science and Technology ★★★★☆(4)
  26. Introduction to Java Programming: Starting to code in Java – Universidad Carlos iii de Madrid ★★★★☆(4)
  27. Paradigms of Computer Programming — Fundamentals – Université catholique de Louvain ★★★★★(4)
  28. Paradigms of Computer Programming — Abstraction and Concurrency– Université catholique de Louvain ★★★★☆(4)
  29. Programming in Scratch – Harvey Mudd College ★★★★★(4)
  30. How To Create a Website in a Weekend! (Project-Centered Course) – State University of New York ★★★★★(3)
  31. Programming for the Web with JavaScript – University of Pennsylvania★★★★★(2)
  32. The Beauty and Joy of Computing — AP® CS Principles Part 1 – University of California, Berkeley ★★★★★(2)
  33. Introduction to Computing using Python – Georgia Institute of Technology ★★★★★(2)
  34. How to Code: Simple Data – The University of British Columbia★★★★★(2)
  35. Object-Oriented Programming – Indian Institute of Technology Bombay★★★★☆(2)
  36. Think. Create. Code – University of Adelaide ★★★★★(2)
  37. The Computing Technology Inside Your Smartphone – Cornell University ★★★★★(2)
  38. Android Basics: Make Your First App – Google ★★★★☆(2)
  39. Learn to Program Using Python – University of Texas Arlington★★★★★(2)
  40. Introduction to HTML and JavaScript – Microsoft ★★★★★(2)
  41. CS For All: Introduction to Computer Science and Python Programming– Harvey Mudd College ★★★★★(2)
  42. CS50’s AP® Computer Science Principles – Harvard University★★★★★(1)
  43. CS50’s Computer Science for Business Professionals – Harvard University ★★★★★(1)
  44. Introduction to Structured Query Language (SQL) – University of Michigan ★★★★★(1)
  45. Web Development and Design using WordPress – California Institute of the Arts ★★★★☆(1)
  46. Web Coding Fundamentals for Artists – National University of Singapore ★★★★☆(1)
  47. Learn to Program in Java – Microsoft ★★★★★(1)
  48. Introduction to Node.js – Microsoft ★★★★★(1)
  49. Computing: Art, Magic, Science – ETH Zurich ★★★★☆(1)
  50. Software Engineering Essentials – Technische Universität München (Technical University of Munich) ★★★★★(1)
  51. Lernen objekt-orientierter Programmierung – Technische Universität München (Technical University of Munich) ★★★★★(1)
  52. MyCS: Computer Science for Beginners – Harvey Mudd College★★★☆☆(1)
  53. CODAPPS: Coding mobile apps for entrepreneurs – EMLYON Business School ★★★★★(1)

Nivel intermedio

  1. Python Data Structures– University of Michigan ★★★★★(1589)
  2. Using Python to Access Web Data– University of Michigan★★★★★(832)
  3. Using Databases with Python– University of Michigan ★★★★★(721)
  4. Functional Programming Principles in Scala– École Polytechnique Fédérale de Lausanne ★★★★★(63)
  5. Algorithms, Part I– Princeton University ★★★★★(58)
  6. Machine Learning for Musicians and Artists– Goldsmiths, University of London ★★★★★(58)
  7. Cryptography I– Stanford University ★★★★★(49)
  8. Functional Program Design in Scala– École Polytechnique Fédérale de Lausanne ★★★★★(38)
  9. Programming Mobile Applications for Android Handheld Systems: Part 1– University of Maryland, College Park★★★★☆(38)
  10. 1x: Artificial Intelligence– University of California, Berkeley★★★★★(30)
  11. Responsive Website Basics: Code with HTML, CSS, and JavaScript – University of London International Programmes★★★★☆(24)
  12. Programming Languages, Part A– University of Washington★★★★★(22)
  13. Algorithms, Part II– Princeton University ★★★★★(21)
  14. Cloud Computing Concepts, Part 1– University of Illinois at Urbana-Champaign ★★★☆☆(21)
  15. Automata Theory– Stanford University ★★★★☆(18)
  16. Intro to Machine Learning– Stanford University ★★★★☆(18)
  17. Agile Development Using Ruby on Rails — The Basics– University of California, Berkeley ★★★★★(18)
  18. Android Development for Beginners– Google ★★★★☆(17)
  19. C++ For C Programmers, Part A– University of California, Santa Cruz★★★☆☆(16)
  20. The Nature of Code– Processing Foundation ★★★★★(16)
  21. Programming Mobile Applications for Android Handheld Systems: Part 2– University of Maryland, College Park★★★★☆(15)
  22. Design of Computer Programs– Stanford University ★★★★☆(13)
  23. Text Retrieval and Search Engines– University of Illinois at Urbana-Champaign ★★★☆☆(13)
  24. The Arduino Platform and C Programming– University of California, Irvine ★★★☆☆(12)
  25. Discrete Optimization– University of Melbourne ★★★★☆(12)
  26. Introduction to Functional Programming– Delft University of Technology ★★★★☆(11)
  27. Developing Android Apps– Google ★★★☆☆(11)
  28. Object-Oriented JavaScript– Hack Reactor ★★★★★(11)
  29. Programming Languages– University of Virginia ★★★☆☆(10)
  30. Introduction to Software Product Management– University of Alberta★★★★☆(9)
  31. Data Wrangling with MongoDB– MongoDB University ★★★☆☆(9)
  32. Cryptography– University of Maryland, College Park ★★★★☆(8)
  33. Learning – Data (Introductory Machine Learning course)– California Institute of Technology ★★★★★(8)
  34. Software Processes and Agile Practices– University of Alberta★★★★☆(8)
  35. Responsive Web Design Fundamentals– Google ★★★★★(8)
  36. Julia Scientific Programming– University of Cape Town ★★★★★(8)
  37. Software Testing– University of Utah ★★★★☆(7)
  38. Ruby on Rails Web Services and Integration with MongoDB– Johns Hopkins University ★★★★★(6)
  39. Interfacing with the Arduino– University of California, Irvine★★★★☆(6)
  40. Computer Architecture– Princeton University ★★★★☆(6)
  41. Web Application Development with JavaScript and MongoDB– University of London International Programmes ★★★★☆(6)
  42. How to Code: Systematic Program Design — Part 1– The University of British Columbia ★★★★☆(6)
  43. Client Needs and Software Requirements – University of Alberta★★★★★(6)
  44. Cybersecurity Fundamentals– Rochester Institute of Technology★★★★★(6)
  45. Intro to DevOps– Nutanix ★★★☆☆(6)
  46. Software Construction in Java– Massachusetts Institute of Technology★★★★★(5)
  47. Computer Graphics– University of California, Berkeley ★★★★☆(5)
  48. The Raspberry Pi Platform and Python Programming for the Raspberry Pi– University of California, Irvine★★★☆☆(5)
  49. Software Development Process– Georgia Institute of Technology★★★★☆(5)
  50. Computer Networking– Georgia Institute of Technology ★★★★☆(5)
  51. HTML5 Game Development– Google ★★★☆☆(5)
  52. Introduction to C++– Microsoft ★★★★☆(5)
  53. Software Debugging– Saarland University ★★★★★(5)
  54. Using Python for Research– Harvard University ★★★☆☆(4)
  55. Agile Development Using Ruby on Rails — Advanced– University of California, Berkeley ★★★★★(4)
  56. Rails with Active Record and Action Pack– Johns Hopkins University★★★★☆(4)
  57. Single Page Web Applications with AngularJS– Johns Hopkins University ★★★★★(4)
  58. Analysis of Algorithms– Princeton University ★★★★★(4)
  59. Java Programming: Principles of Software Design– Duke University★★★★★(4)
  60. Cloud Networking– University of Illinois at Urbana-Champaign★★★★☆(4)
  61. Internet of Things: Setting Up Your DragonBoard™ Development Platform– University of California, San Diego ★★★☆☆(4)
  62. Internet of Things & Augmented Reality Emerging Technologies– Yonsei University ★★★☆☆(4)
  63. Website Performance Optimization– Google ★★★★☆(4)
  64. UX Design for Mobile Developers– Google ★★★★★(4)
  65. Querying Data with Transact-SQL– Microsoft ★★★★☆(4)
  66. Foundations of Objective-C App Development– University of California, Irvine ★★★☆☆(3)
  67. Networks Illustrated: Principles without Calculus– Princeton University★★★★☆(3)
  68. VLSI CAD Part I: Logic– University of Illinois at Urbana-Champaign★★★★★(3)
  69. Game Development for Modern Platforms– Michigan State University★★★★★(3)
  70. MATLAB and Octave for Beginners– École Polytechnique Fédérale de Lausanne ★★★☆☆(3)
  71. Wireless Communication Emerging Technologies– Yonsei University★★★★☆(3)
  72. Android Basics: User Input– Google ★★★★☆(3)
  73. VR Software Development– Google ★★★☆☆(3)
  74. JavaScript Promises– Google ★★★★★(3)
  75. Android Basics: Multiscreen Apps– Google ★★★★☆(3)
  76. DevOps for Developers: How to Get Started– Microsoft ★★★★☆(3)
  77. Agile Software Development– ETH Zurich ★★★★☆(3)
  78. Autonomous Mobile Robots– ETH Zurich ★★★☆☆(3)
  79. LPL: Language, Proof and Logic– Stanford University ★★★★★(2)
  80. Compilers– Stanford University ★★★★☆(2)
  81. Mobile Application Experiences Part 1: – a Domain to an App Idea– Massachusetts Institute of Technology★★★★★(2)
  82. Interfacing with the Raspberry Pi– University of California, Irvine★★★☆☆(2)
  83. Machine Learning: Unsupervised Learning– Brown University★★★★★(2)
  84. Programming Languages, Part B– University of Washington★★★★★(2)
  85. App Design and Development for iOS– University of Toronto★★★☆☆(2)
  86. Introduction to Mobile Application Development using Android– The Hong Kong University of Science and Technology ★★★★☆(2)
  87. Internet Emerging Technologies– Yonsei University ★★★☆☆(2)
  88. Client-Server Communication– Google ★★★★★(2)
  89. Android Basics: Networking– Google ★★★★☆(2)
  90. Browser Rendering Optimization– Google ★★★★☆(2)
  91. Developing International Software, Part 1– Microsoft ★★★★☆(2)
  92. Analyzing and Visualizing Data with Power BI– Microsoft ★★★★★(2)
  93. Build Your First Android App (Project-Centered Course)– École Centrale Paris ★★★☆☆(2)
  94. Approximation Algorithms Part I– École normale supérieure★★★★★(2)
  95. Computation Structures 2: Computer Architecture– Massachusetts Institute of Technology ★★★★☆(1)
  96. Software Development Fundamentals– University of Pennsylvania★★★☆☆(1)
  97. Best Practices for iOS User Interface Design– University of California, Irvine ★★★★★(1)
  98. Software Architecture & Design– Georgia Institute of Technology★★★★★(1)
  99. Database Systems Concepts & Design– Georgia Institute of Technology★★★★☆(1)
  100. Animation and CGI Motion– Columbia University ★★★☆☆(1)
  101. Programming Languages, Part C– University of Washington★★★★★(1)
  1. 3D Models for Virtual Reality– University of London International Programmes ★★★★★(1)
  2. How to Code: Complex Data– The University of British Columbia★★★★★(1)
  3. Getting Started: Agile Meets Design Thinking– University of Virginia★★★★★(1)
  4. Agile Software Development– University of Minnesota ★★★★☆(1)
  5. Web Application Development: Basic Concepts– University of New Mexico ★★★★☆(1)
  6. Algorithms– Indian Institute of Technology Bombay ★★★★★(1)
  7. Android: Introducción a la Programación– Universitat Politècnica de València ★★★★☆(1)
  8. Agile Planning for Software Products– University of Alberta★★★☆☆(1)
  9. Software Architecture for the Internet of Things– EIT Digital ★★★★☆(1)
  1. Material Design for Android Developers– Google★★★★★(1)
  2. Scalable Microservices with Kubernetes– Google★★★★☆(1)
  3. Gradle for Android and Java– Google★★★★★(1)
  4. Developing Scalable Apps in Python– Google★★★★☆(1)
  5. Developing Scalable Apps in Java– Google★★★★☆(1)
  6. Android Performance– Google★★★★★(1)
  7. Android Basics: Button Clicks– Google★★★☆☆(1)
  8. Asynchronous Programming with Javascript– Microsoft★★★★★(1)
  1. Intermediate C++– Microsoft★★★★☆(1)
  2. Principles of Machine Learning– Microsoft ★★★★★(1)
  3. AngularJS: Advanced Framework Techniques– Microsoft★★★★☆(1)
  4. Build a Modern Computer – First Principles: Nand to Tetris Part II (project-centered course)– Hebrew University of Jerusalem★★★★★(1)
  5. 用Python玩转数据 Data Processing Using Python– Nanjing University★★★★★(1)
  6. Introduction to Cloud Infrastructure Technologies– Linux Foundation★★★★☆(1)
  7. 2D Game Development with libGDX– Amazon★★★★★(1)
  8. Introduction to Real-Time Systems– IEEE★★★★☆(1)
  9. How to Win Coding Competitions: Secrets of Champions– ITMO University★★★☆☆(1)
  1. HTML5 Apps and Games– World Wide Web Consortium (W3C)★★★☆☆(1)
  2. Technical Interview– Pramp★★★★★(1)

Nivel avanzado

  1. Deep Learning– Google ★★☆☆☆(44)
  2. [New] Practical Reinforcement Learning– Higher School of Economics
  3. [New] Deep Learning in Computer Vision– Higher School of Economics
  4. [New] Addressing Large Hadron Collider Challenges by Machine Learning– Higher School of Economics
  5. [New] Fundamentals of Accelerated Computing with CUDA C/C++– Nvidia
  6. [New] Fundamentals of Deep Learning for Computer Vision– Nvidia
  7. Introduction to Artificial Intelligence– Stanford University★★★★☆(24)
  8. Neural Networks for Machine Learning– University of Toronto★★★★☆(22)
  9. Probabilistic Graphical Models 1: Representation– Stanford University★★★★☆(17)
  10. Machine Learning for Data Science and Analytics– Columbia University★★★☆☆(15)
  11. Bitcoin and Cryptocurrency Technologies– Princeton University★★★★★(15)
  12. Machine Learning for Trading– Georgia Institute of Technology★★★☆☆(13)
  13. Neural Networks and Deep Learning– ai ★★★★★(12)
  14. Hardware Security– University of Maryland, College Park ★★★☆☆(11)
  15. Artificial Intelligence (AI)– Columbia University ★★★★☆(9)
  16. Computational Neuroscience– University of Washington ★★★★☆(8)
  17. Reinforcement Learning– Brown University ★★★☆☆(7)
  18. Introduction to Computer Vision– Georgia Institute of Technology★★★★★(6)
  19. Intro to Parallel Programming– Nvidia ★★★★☆(6)
  20. Interactive 3D Graphics– Autodesk ★★★★☆(6)
  21. Machine Learning– Georgia Institute of Technology ★★★★★(5)
  22. Applied Cryptography– University of Virginia ★★★★☆(5)
  23. Practical Deep Learning For Coders, Part 1– ai ★★★★☆(5)
  24. Advanced Operating Systems– Georgia Institute of Technology★★★★★(4)
  25. Machine Learning– Columbia University ★★★★★(4)
  26. Parallel programming– École Polytechnique Fédérale de Lausanne★★★★☆(4)
  27. Introduction to Computer Architecture– Carnegie Mellon University★★★★★(4)
  28. Probabilistic Graphical Models 2: Inference– Stanford University★★★★☆(3)
  29. Applied Machine Learning in Python– University of Michigan★★★★☆(3)
  30. Regression Modeling in Practice– Wesleyan University ★★★★☆(3)
  31. Quantitative Formal Modeling and Worst-Case Performance Analysis– EIT Digital ★★★☆☆(3)
  32. Structuring Machine Learning Projects– ai ★★★★★(2)
  33. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization– ai ★★★★★(2)
  34. Sequence Models– ai ★★★★★(2)
  35. S191: Introduction to Deep Learning– Massachusetts Institute of Technology ★★★★☆(2)
  36. Introduction to Operating Systems– Georgia Institute of Technology★★★★★(2)
  37. S094: Deep Learning for Self-Driving Cars– Massachusetts Institute of Technology ★★★★☆(1)
  38. Computational Photography– Georgia Institute of Technology★★★★☆(1)
  39. Knowledge-Based AI: Cognitive Systems– Georgia Institute of Technology ★★★☆☆(1)
  40. Computability, Complexity & Algorithms– Georgia Institute of Technology ★★★★★(1)
  41. High Performance Computer Architecture– Georgia Institute of Technology ★★★★★(1)
  42. Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud– University of Illinois at Urbana-Champaign ★★★★☆(1)
  43. Learn TensorFlow and deep learning, without a Ph.D.– Google★★★★☆(1)
  44. Sparse Representations in Signal and Image Processing: Fundamentals– TechnionIsrael Institute of Technology★★★★★(1)
  45. Blockchain for Business — An Introduction to Hyperledger Technologies– Linux Foundation★★★★☆(1)
  46. Introduction to Cloud Foundry and Cloud Native Software Architecture– Linux Foundation★★★★★(1)

 

Fuente: Freecodecamp

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