Un mes más, a través de Freecodecamp, mostramos los cursos online gratuitos que comienzan en febrero. 11 de estos cursos son totalmente nuevos, destacando como viene siendo habitual los cursos de machine learning:
- [New] How Entrepreneurs in Emerging Markets can master the Blockchain Technology – University of Cape Town
- [New] Apprendre à coder avec Python – Université libre de Bruxelles
- [New] Computational Thinking for Modeling and Simulation – Massachusetts Institute of Technology
- [New] Mathematics for Computer Science – University of London International Programmes
- [New] Deep Learning — Part 2 – Indian Institute of Technology Madras
- [New] Machine Learning,ML – KTH Royal Institute of Technology
- [New] Quantum Machine Learning – University of Toronto
- [New] 大数据机器学习|Big Data Machine Learning – Tsinghua University
- [New] Network Analysis for Mines and Mineral Engineering – Indian Institute of Technology, Kharagpur
- [New] Fuzzy Logic and Neural Networks – Indian Institute of Technology, Kharagpur
- [New] Approximation Algorithms – EIT Digital
El listado completo, clasificado por niveles de dificultad, es el siguiente:
Nivel principiante (154 cursos)
- An Introduction to Interactive Programming in Python (Part 1) – Rice University★★★★★(2909)
- Programming for Everybody (Getting Started with Python) – University of Michigan★★★★★(865)
- Introduction to Programming with MATLAB – Vanderbilt University★★★★★(178)
- Introduction to Computer Science and Programming Using Python – Massachusetts Institute of Technology★★★★★(99)
- Learn to Program: The Fundamentals – University of Toronto★★★★★(86)
- Intro to Computer Science – University of Virginia★★★★☆(61)
- CS50’s Introduction to Computer Science – Harvard University★★★★★(53)
- An Introduction to Interactive Programming in Python (Part 2) – Rice University★★★★★(45)
- Internet History, Technology, and Security – University of Michigan★★★★★(35)
- Introduction to Linux – Linux Foundation★★★★☆(34)
- How to Use Git and GitHub
- [New] How Entrepreneurs in Emerging Markets can master the Blockchain Technology – University of Cape Town
- [New] Apprendre à coder avec Python – Université libre de Bruxelles
- Intro to HTML and CSS
- Introduction to VBA/Excel Programming – Cal Poly Pomona★★★★☆(21)
- JavaScript Basics
- Programming Basics – Indian Institute of Technology Bombay★★☆☆☆(13)
- Computer Science 101 – Stanford University★★★★☆(11)
- Creative Programming for Digital Media & Mobile Apps – University of London International Programmes★★★★☆(10)
- Programming Foundations with JavaScript, HTML and CSS – Duke University★★★★☆(9)
- HTML5 Coding Essentials and Best Practices – World Wide Web Consortium (W3C)★★★★☆(9)
- Programming Foundations with Python
- Introduction to Computer Networking – Stanford University★★★★★(8)
- Usable Security – University of Maryland, College Park★★★☆☆(8)
- Introduction to Bootstrap — A Tutorial – Microsoft★★★☆☆(8)
- Learn to Program: Crafting Quality Code – University of Toronto★★★★★(6)
- Intro to Relational Databases
- Paradigms of Computer Programming — Fundamentals – Université catholique de Louvain★★★★★(4)
- Paradigms of Computer Programming — Abstraction and Concurrencyfrom Université catholique de Louvain★★★★☆(4)
- Introduction to jQuery – Microsoft★★★★☆(4)
- Programming in Scratch – Harvey Mudd College★★★★★(4)
- Introduction to Java Programming — Part 1 – The Hong Kong University of Science and Technology★★★★☆(3)
- Introduction to Java Programming: Starting to code in Java – Universidad Carlos iii de Madrid★★★★☆(3)
- Introduction to Programming for the Visual Arts with p5.js – University of California, Los Angeles★★★★☆(3)
- HTML5 and CSS Fundamentals – World Wide Web Consortium (W3C)★★★★☆(3)
- Linux Command Line Basics
- The Beauty and Joy of Computing — AP® CS Principles Part 1 – University of California, Berkeley★★★★★(2)
- Object-Oriented Programming – Indian Institute of Technology Bombay★★★★☆(2)
- The Computing Technology Inside Your Smartphone – Cornell University★★★★★(2)
- Introduction to HTML and JavaScript – Microsoft★★★★★(2)
- Create. Code – University of Adelaide★★★★★(2)
- CS For All: Introduction to Computer Science and Python Programmingfrom Harvey Mudd College★★★★★(2)
- Networks: Friends, Money, and Bytes – Princeton University★★★☆☆(1)
- Programando con Java para aplicaciones Android – Universidad Nacional Autónoma de México★★★★★(1)
- Android Basics: Make Your First App – Google★★★★★(1)
- Computing: Art, Magic, Science – ETH Zurich★★★★☆(1)
- MyCS: Computer Science for Beginners – Harvey Mudd College★★★☆☆(1)
- Cyber Security: Safety at Home, Online, in Life – Newcastle University★★★☆☆(1)
- CS50’s Web Programming with Python and JavaScript – Harvard University
- CS50’s Computer Science for Business Professionals – Harvard University
- CS50’s Mobile App Development with React Native – Harvard University
- CS50’s Introduction to Game Development – Harvard University
- CS50’s Introduction to Computer Science – Harvard University
- CS50’s Understanding Technology – Harvard University
- Principles of Computing – Stanford University
- The Beauty and Joy of Computing — AP® CS Principles Part 2 – University of California, Berkeley
- Computational Thinking for Problem Solving – University of Pennsylvania
- Programming for the Web with JavaScript – University of Pennsylvania
- Data Collection and Processing with Python – University of Michigan
- Python Basics – University of Michigan
- Python Functions, Files, and Dictionaries – University of Michigan
- Interacting with the System and Managing Memory – Duke University
- Programming Fundamentals – Duke University
- Computing in Python I: Fundamentals and Procedural Programming – Georgia Institute of Technology
- Introduction to Computing using Python – Georgia Institute of Technology
- Computing in Python II: Control Structures – Georgia Institute of Technology
- Computing in Python III: Data Structures – Georgia Institute of Technology
- Computing in Python IV: Objects & Algorithms – Georgia Institute of Technology
- Introduction to Cybersecurity – University of Washington
- Python Data Representations – Rice University
- Python Programming Essentials – Rice University
- Introduction to Computer Programming from University of London International Programmes
- How Computers Work – University of London International Programmes
- Software Engineering: Introduction – The University of British Columbia
- How to Code: Simple Data – The University of British Columbia
- Introduction to Web Development – University of California, Davis
- Введение в базы данных – Petersburg State Polytechnic University
- Введение в программирование (C++) – Higher School of Economics
- Web Design: Strategy and Information Architecture – California Institute of the Arts
- Web Development and Design using WordPress – California Institute of the Arts
- Introduction to Java Programming — Part 2 – The Hong Kong University of Science and Technology
- Scratch: Programmeren voor kinderen (8+) – Delft University of Technology
- Cyber Security Economics – Delft University of Technology
- Excel/VBA for Creative Problem Solving, Part 3 (Projects) – University of Colorado Boulder
- Web Coding Fundamentals: HTML, CSS and Javascript – National University of Singapore
- Monetize your Android Applications – Galileo University
- Java Fundamentals for Android Development – Galileo University
- Android App Development for Beginners – Galileo University
- AP Computer Science A: Java Programming Loops and Data Structuresfrom Purdue University
- AP Computer Science A: Java Programming Classes and Objects – Purdue University
- AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures – Purdue University
- Deep Learning for Business – Yonsei University
- Introduction to TCP/IP – Yonsei University
- Introduction to Java Programming: Writing Good Code – Universidad Carlos iii de Madrid
- Introducción a la programación en Java: estructuras de datos y algoritmosfrom Universidad Carlos iii de Madrid
- Introducción a la programación en Java: empezando a programar – Universidad Carlos iii de Madrid
- Cyber Security Basics: A Hands-on Approach – Universidad Carlos iii de Madrid
- Introduzione a LaTeX – University of Modena and Reggio Emilia
- Web Accessibility – Google
- Mobile Web Development – Google
- Logic and Computational Thinking – Microsoft
- Introduction to Python: Fundamentals – Microsoft
- CSS Basics – Microsoft
- Introduction to ReactJS – Microsoft
- Introduction to NodeJS – Microsoft
- Introduction to Python: Absolute Beginner – Microsoft
- Introduction to Design Thinking – Microsoft
- Writing Professional Code – Microsoft
- Learn to Program in Java – Microsoft
- Object Oriented Programming in Java – Microsoft
- C Programming: Getting Started – Dartmouth
- C Programming: Modular Programming and Memory Management – Dartmouth
- C Programming: Using Linux Tools and Libraries – Dartmouth
- Linux Basics: The Command Line Interface – Dartmouth
- C Programming: Advanced Data Types – Dartmouth
- C Programming: Language Foundations – Institut Mines-Télécom
- C Programming: Pointers and Memory Management – Dartmouth
- Computing: Art, Magic, Science — Part II – ETH Zurich
- Learn to Program Using Python – University of Texas Arlington
- Introduction to Open Source Networking Technologies – Linux Foundation
- Blockchain: Understanding Its Uses and Implications – Linux Foundation
- Introduction to Programming Using Python – University of Texas Arlington
- Introducción a la programación en C: Instrucciones de control y ficheros de texto – Universidad Autónoma de Madrid
- Mobile Computing with App Inventor — CS Principles – The University of Warwick
- Introduction to the Internet of Things (IoT) – Curtin University
- Software Engineering Essentials – Technische Universität München (Technical University of Munich)
- Базы данных (Databases) – Saint Petersburg State University
- Video Game Design and Balance – Rochester Institute of Technology
- Web Security Fundamentals – KU Leuven University
- Arduino Programming, – novice to ninja – Institut Mines-Télécom
- Introdução à Ciência da Computação com Python Parte 2 – Universidade de São Paulo
- Introducción a la programación en Python I: Aprendiendo a programar con Python – Pontificia Universidad Católica de Chile
- Introdução à Ciência da Computação com Python Parte 1 – Universidade de São Paulo
- Programación Orientada a Objetos – MéxicoX
- JavaScript Introduction – World Wide Web Consortium (W3C)
- Computing Form and Shape: Python Programming with the Rhinoscript Library – Rhode Island School of Design
- Object-oriented Programming in Python: Create Your Own Adventure Game – Raspberry Pi Foundation
- ES6 — JavaScript Improved
- Introduction to Python Programming
- Version Control with Git
- GitHub & Collaboration
- HTTP & Web Servers
- Android for Beginners
- Elements of AI – University of Helsinki
- Learn Swift Programming Syntax
- JavaScript and the DOM
- Object-Oriented JavaScript
- Version Control with Git – Atlassian
- Swift for Beginners
- Introduction to Virtual Reality
- Python for Everybody — Exploring Information
- Web Applications for Everybody
- Java Programming Basics
- Intro to JavaScript
Nivel intermedio (306 cursos)
- Python Data Structures – University of Michigan★★★★★(508)
- Using Python to Access Web Data – University of Michigan★★★★★(344)
- Using Databases with Python – University of Michigan★★★★★(291)
- Machine Learning – Stanford University★★★★★(261)
- Algorithms, Part I – Princeton University★★★★☆(48)
- Cryptography I – Stanford University★★★★★(45)
- 1x: Artificial Intelligence – University of California, Berkeley★★★★★(30)
- Principles of Computing (Part 1) – Rice University★★★★★(26)
- [New] Computational Thinking for Modeling and Simulation – Massachusetts Institute of Technology
- [New] Mathematics for Computer Science – University of London International Programmes
- [New] Deep Learning — Part 2 – Indian Institute of Technology Madras
- [New] Machine Learning,ML – KTH Royal Institute of Technology
- Software Security from University of Maryland, College Park★★★★★(22)
- Algorithms, Part II – Princeton University★★★★★(21)
- Agile Development Using Ruby on Rails — The Basics – University of California, Berkeley★★★★★(19)
- Automata Theory – Stanford University★★★★☆(17)
- Programming Languages, Part A – University of Washington★★★★★(17)
- C++ For C Programmers, Part A – University of California, Santa Cruz★★★☆☆(16)
- Principles of Computing (Part 2) – Rice University★★★★☆(15)
- The Nature of Code – Processing Foundation★★★★★(15)
- Algorithmic Thinking (Part 1) – Rice University★★★★☆(14)
- Design of Computer Programs – Stanford University★★★★☆(13)
- Intro to Machine Learning – Stanford University★★★★☆(12)
- Discrete Optimization – University of Melbourne★★★★☆(12)
- Responsive Web Design – University of London International Programmes★★★☆☆(11)
- Introduction to Game Development – Michigan State University★★★★☆(11)
- Introduction to Functional Programming – Delft University of Technology★★★★☆(11)
- Object-Oriented JavaScript – Hack Reactor★★★★★(11)
- Android Development for Beginners – Google★★★★☆(10)
- Java Programming: Solving Problems with Software – Duke University★★★☆☆(9)
- Algorithmic Thinking (Part 2) – Rice University★★★★☆(9)
- Programming Languages – University of Virginia★★★☆☆(9)
- Image and Video Processing: – Mars to Hollywood with a Stop at the Hospital – Duke University★★★★☆(8)
- Cryptography – University of Maryland, College Park★★★★☆(8)
- Cloud Computing Applications, Part 1: Cloud Systems and Infrastructurefrom University of Illinois at Urbana-Champaign★★★☆☆(7)
- Software Testing – University of Utah★★★★☆(7)
- Internet of Things: How did we get here? – University of California, San Diego ★★☆☆☆(6)
- Introduction To Swift Programming – University of Toronto★☆☆☆☆(6)
- Learning – Data (Introductory Machine Learning course) – California Institute of Technology★★★★☆(6)
- Responsive Web Design Fundamentals – Google★★★★☆(6)
- Intro to AJAX
- Agile Development Using Ruby on Rails — Advanced – University of California, Berkeley★★★★★(5)
- Computer Graphics – University of California, Berkeley★★★★☆(5)
- Cloud Computing Concepts: Part 2 – University of Illinois at Urbana-Champaign★★★★★(5)
- Introduction to Meteor.js Development from University of London International Programmes★★★★★(5)
- How to Code: Systematic Program Design — Part 1 – The University of British Columbia★★★★☆(5)
- Developing Android Apps – Google★★★★☆(5)
- Julia Scientific Programming – University of Cape Town★★★★★(5)
- Data Wrangling with MongoDB – MongoDB University★★★★☆(5)
- Intro to DevOps – Nutanix★★★☆☆(5)
- Parallel Programming Concepts
- Intro to iOS App Development with Swift
- Computer Architecture – Princeton University★★★★★(4)
- Software Development Process – Georgia Institute of Technology★★★☆☆(4)
- Computer Networking – Georgia Institute of Technology★★★★☆(4)
- HTML5 Game Development – Google★★★☆☆(4)
- Website Performance Optimization – Google★★★★☆(4)
- Introduction to C++ – Microsoft★★★★☆(4)
- Database Management Essentials – University of Colorado System★★★★☆(4)
- Interactive Computer Graphics – The University of Tokyo★★☆☆☆(4)
- Software Debugging – Saarland University★★★★★(4)
- Software Construction in Java – Massachusetts Institute of Technology★★★★★(3)
- Java Programming: Arrays, Lists, and Structured Data – Duke University★★★★☆(3)
- Networks Illustrated: Principles without Calculus – Princeton University★★★★☆(3)
- VLSI CAD Part I: Logic – University of Illinois at Urbana-Champaign★★★★★(3)
- Internet of Things: Setting Up Your DragonBoard™ Development Platformfrom University of California, San Diego ★★★☆☆(3)
- DevOps for Developers: How to Get Started – Microsoft★★★★☆(3)
- Querying Data with Transact-SQL – Microsoft★★★★☆(3)
- Autonomous Mobile Robots – ETH Zurich★★★☆☆(3)
- Intro to Algorithms
- JavaScript Design Patterns
- Intro to jQuery
- Compilers – Stanford University★★★★☆(2)
- Mobile Application Experiences Part 1: – a Domain to an App Ideafrom Massachusetts Institute of Technology★★★★★(2)
- Internet of Things: Communication Technologies – University of California, San Diego ★★★☆☆(2)
- iOS App Development Basics – University of Toronto★★★★☆(2)
- Introduction to Mobile Application Development using Android – The Hong Kong University of Science and Technology★★★★☆(2)
- UX Design for Mobile Developers – Google★★★★★(2)
- Browser Rendering Optimization – Google★★★★☆(2)
- Developing International Software, Part 1 – Microsoft★★★★☆(2)
- Analyzing and Visualizing Data with Power BI – Microsoft★★★★★(2)
- Agile Software Development – ETH Zurich★★★★★(2)
- JavaScript Testing
- Configuring Linux Web Servers
- Full Stack Foundations
- Machine Learning: Unsupervised Learning – Brown University★★★★☆(1)
- Software Architecture & Design – Georgia Institute of Technology★★★★★(1)
- Responsive Website Tutorial and Examples – University of London International Programmes★★★★★(1)
- MATLAB and Octave for Beginners – École Polytechnique Fédérale de Lausanne★☆☆☆☆(1)
- Web Application Development: Basic Concepts – University of New Mexico★★★★☆(1)
- Android: Introducción a la Programación – Universitat Politècnica de València★★★★☆(1)
- Algorithms – Indian Institute of Technology Bombay★★★★★(1)
- Developing Scalable Apps in Java – Google★★★★☆(1)
- Google Cloud Platform Fundamentals: Core Infrastructure – Google★★★★☆(1)
- Android Basics: Multiscreen Apps – Google★★★★☆(1)
- JavaScript Promises – Google★★★★★(1)
- Gradle for Android and Java – Google★★★★★(1)
- Developing Scalable Apps in Python – Google★★★★☆(1)
- Principles of Machine Learning – Microsoft★★★★★(1)
- 用Python玩转数据 Data Processing Using Python – Nanjing University★★★★★(1)
- Cybersecurity and Mobility – University System of Georgia★☆☆☆☆(1)
- A developer’s guide to the Internet of Things (IoT) – IBM★★★★☆(1)
- Technical Interview – Pramp★★★★★(1)
- HTML5 Apps and Games – World Wide Web Consortium (W3C)★★★☆☆(1)
- Intro to Theoretical Computer Science
- Networking for Web Developers
- Using Python for Research – Harvard University
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them – Stanford University
- Algorithms: Design and Analysis, Part 2 – Stanford University
- Language, Proof and Logic – Stanford University
- Algorithms: Design and Analysis – Stanford University
- Advanced Software Construction in Java – Massachusetts Institute of Technology
- Mobile Application Experiences – Massachusetts Institute of Technology
- Computation Structures 2: Computer Architecture – Massachusetts Institute of Technology
- Mobile Application Experiences Part 3: Building Mobile Apps – Massachusetts Institute of Technology
- Foundations of Data Science: Prediction and Machine Learning – University of California, Berkeley
- Blockchain Technology – University of California, Berkeley
- Bitcoin and Cryptocurrencies – University of California, Berkeley
- Algorithm Design and Analysis – University of Pennsylvania
- Data Structures and Software Design – University of Pennsylvania
- Software Development Fundamentals – University of Pennsylvania
- Introduction to Neurohacking In R – Johns Hopkins University
- Understanding and Visualizing Data with Python – University of Michigan
- Introduction to Machine Learning – Duke University
- Writing, Running, and Fixing Code in C – Duke University
- Computer Science: Algorithms, Theory, and Machines – Princeton University
- Database Systems Concepts & Design – Georgia Institute of Technology
- Database Systems Concepts and Design – Georgia Institute of Technology
- Software Analysis & Testing – Georgia Institute of Technology
- Introduction to Graduate Algorithms – Georgia Institute of Technology
- Animation and CGI Motion – Columbia University
- Data Analytics Foundations for Accountancy II – University of Illinois at Urbana-Champaign
- String Processing and Pattern Matching Algorithms – University of California, San Diego
- Graph Algorithms – University of California, San Diego
- Internet of Things: Sensing and Actuation – Devices – University of California, San Diego
- Data Structures Fundamentals – University of California, San Diego
- Creating Virtual Reality (VR) Apps – University of California, San Diego
- Data Structures: An Active Learning Approach – University of California, San Diego
- Minecraft, Coding and Teaching – University of California, San Diego
- How Virtual Reality Works – University of California, San Diego
- Machine Learning Fundamentals – University of California, San Diego
- Algorithmic Design and Techniques – University of California, San Diego
- Building a Cybersecurity Toolkit – University of Washington
- Programming Languages, Part B – University of Washington
- Finding your Cybersecurity Career Path – University of Washington
- Programming Languages, Part C – University of Washington
- Cybersecurity: The CISO’s View – University of Washington
- Blockchain Platforms – University at Buffalo
- Decentralized Applications (Dapps) – University at Buffalo
- Smart Contracts – University at Buffalo
- Blockchain Basics – University at Buffalo
- 面向对象技术高级课程（The Advanced Object-Oriented Technology）from Peking University
- 算法设计与分析 Design and Analysis of Algorithms – Peking University
- Software Construction: Object-Oriented Design – The University of British Columbia
- Software Construction: Data Abstraction – The University of British Columbia
- How to Code: Systematic Program Design — Part 2 – The University of British Columbia
- How to Code: Complex Data – The University of British Columbia
- How to Code: Systematic Program Design — Part 3 – The University of British Columbia
- Testing with Agile – University of Virginia
- Running Product Design Sprints – University of Virginia
- NoSQL Database Systems – Arizona State University
- Moving to the Cloud – University of Melbourne
- SQL for Data Science – University of California, Davis
- LAFF — On Programming for Correctness – The University of Texas at Austin
- Документы и презентации в LaTeX (Introduction to LaTeX) – Higher School of Economics
- Java for Android – Vanderbilt University
- Android App Components — Intents, Activities, and Broadcast Receiversfrom Vanderbilt University
- Android App Components — Services, Local IPC, and Content Providersfrom Vanderbilt University
- Front-End Web UI Frameworks and Tools: Bootstrap 4 – The Hong Kong University of Science and Technology
- Front-End Web Development with React – The Hong Kong University of Science and Technology
- Multiplatform Mobile App Development with React Native – The Hong Kong University of Science and Technology
- Server-side Development with NodeJS, Express and MongoDB – The Hong Kong University of Science and Technology
- Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova – The Hong Kong University of Science and Technology
- Multiplatform Mobile App Development with NativeScript – The Hong Kong University of Science and Technology
- Front-End JavaScript Frameworks: Angular – The Hong Kong University of Science and Technology
- Developing Android Apps with App Inventor – The Hong Kong University of Science and Technology
- Globally Distributed Software Engineering – Delft University of Technology
- Automated Software Testing: Practical Skills for Java Developers – Delft University of Technology
- Основы разработки на C++: жёлтый пояс – Moscow Institute of Physics and Technology
- Building Arduino robots and devices – Moscow Institute of Physics and Technology
- Разработка веб-сервисов на Golang, часть 2 – Moscow Institute of Physics and Technology
- Быстрый старт в разработке Android-приложений – Moscow Institute of Physics and Technology
- Введение в iOS-разработку – Moscow Institute of Physics and Technology
- 用 Python 做商管程式設計（一）(Programming for Business Computing in Python (1)) – National Taiwan University
- Foundations of Data Structures – Indian Institute of Technology Bombay
- Implementation of Data Structures – Indian Institute of Technology Bombay
- Professional Android App Development – Galileo University
- Сетевое администрирование: от теории к практике – Tsinghua University
- Enterprise Software Lifecycle Management – National Research Nuclear University MEPhI
- Использование механизмов операционных систем в разработке программного обеспечения – National Research Nuclear University MEPhI
- Cloud Computing – Indian Institute of Technology, Kharagpur
- Database Management System – Indian Institute of Technology, Kharagpur
- The Software Architect Code: Building the Digital World – Universidad Carlos iii de Madrid
- Introduction to Java Programming: Fundamental Data Structures and Algorithms – Universidad Carlos iii de Madrid
- Service-Oriented Architecture – University of Alberta
- Software Architecture – University of Alberta
- Design Patterns – University of Alberta
- Object-Oriented Design – University of Alberta
- Introduction to Architecting Smart IoT Devices – EIT Digital
- Architecting Smart IoT Devices – EIT Digital
- Web Connectivity and Security in Embedded Systems – EIT Digital
- Advanced Android App Development – Google
- Offline Web Applications – Google
- Firebase Essentials For Android – Google
- Scalable Microservices with Kubernetes – Google
- Data Structures & Algorithms in Python – Google
- Android Performance – Google
- VR Software Development – Google
- Android Basics: User Input – Google
- Android Basics: User Interface – Google
- Intro to Progressive Web Apps – Google
- Android Basics: Button Clicks – Google
- Google Maps APIs – Google
- Developing Android Apps with Kotlin – Google
- Google Cloud Platform Fundamentals for AWS Professionals – Google Cloud
- Material Design for Android Developers – Google
- Client-Server Communication – Google
- Android Basics: Networking – Google
- Creating Programmatic SQL Database Objects – Microsoft
- AngularJS: Framework Fundamentals – Microsoft
- Application Design Considerations: An Inclusive Approach – Microsoft
- AngularJS: Advanced Framework Techniques – Microsoft
- Building Interactive Prototypes using JavaScript – Microsoft
- Designing Data Platform Solutions – Microsoft
- Asynchronous Programming with Javascript – Microsoft
- Developing Intelligent Apps and Bots – Microsoft
- Intermediate C++ – Microsoft
- Developing SQL Databases – Microsoft
- Algorithms and Data Structures in C# – Microsoft
- Introduction to C# – Microsoft
- Optimizing Performance for SQL Based Applications – Microsoft
- Introduction to TypeScript 2 – Microsoft
- Building Functional Prototypes using Node.js – Microsoft
- Advanced CSS Concepts – Microsoft
- Implementing In-Memory SQL Database Objects – Microsoft
- Applied Machine Learning – Microsoft
- Algorithms and Data Structures – Microsoft
- Build a Modern Computer – First Principles: Nand to Tetris Part II (project-centered course) – Hebrew University of Jerusalem
- Programmation iOS (partie I) – Sorbonne Universités
- Programmation iOS (partie II) – Sorbonne Universités
- Programmation Concurrente (avec Java) – Sorbonne Universités
- Introduction to Data Structures – University of Adelaide
- C++ For C Programmers, Part B – University of California, Santa Cruz
- Fundamentals of Machine Learning – Santa Fe Institute
- Introduction to Computation Theory – Santa Fe Institute
- Requirements Gathering for Secure Software Development – University of Colorado System
- Linux Server Management and Security – University of Colorado System
- Introduction to Web Cartography: Part 1 – ETH Zurich
- Homeland Security & Cybersecurity Connection — It’s Not About the Terrorists – University of Colorado System
- Requirements Elicitation: Artifact and Stakeholder Analysis – University of Colorado System
- SRS Documents: Requirements and Diagrammatic Notations – University of Colorado System
- Software Requirements Prioritization: Risk Analysis – University of Colorado System
- Requirements Specifications: Goals and Conflict Analysis – University of Colorado System
- Cloud Computing Security – University of Colorado System
- Machine Learning for Musicians and Artists – Goldsmiths, University of London
- Introduction to Cloud Infrastructure Technologies – Linux Foundation
- 2D Game Development with libGDX – Amazon
- Introduction to DevOps: Transforming and Improving Operations – Linux Foundation
- Introduction to Kubernetes – Linux Foundation
- Cybersecurity and the X-Factor – University System of Georgia
- Web App Development with the Power of Node.js – Technische Universität München (Technical University of Munich)
- Mobile Design and Usability for Android – Facebook
- Mobile Design and Usability for iOS – Facebook
- Advanced Algorithmics and Graph Theory with Python – Institut Mines-Télécom
- Teamwork & Collaboration – Rochester Institute of Technology
- Gameplay Programming for Video Game Designers – Rochester Institute of Technology
- Fundamentals of Machine Learning in Finance – New York University (NYU)
- Cybersecurity Fundamentals – Rochester Institute of Technology
- Overview of Advanced Methods of Reinforcement Learning in Financefrom New York University (NYU)
- UML Class Diagrams for Software Engineering – KU Leuven University
- Introdução ao Teste de Software – Universidade de São Paulo
- Programming for Everyone — An Introduction to Visual Programming Languages – Weizmann Institute of Science
- Concurrency – AdaCore University
- How to Win Coding Competitions: Secrets of Champions – ITMO University
- Formal Software Verification – University System of Maryland
- Software Testing Management – University System of Maryland
- Cloud Computing Management – University System of Maryland
- Software Testing Fundamentals – University System of Maryland
- Cloud Computing for Enterprises – University System of Maryland
- Cloud Computing Infrastructure – University System of Maryland
- Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla – Universidad del Rosario
- How to Make an iOS App
- iOS Persistence and Core Data
- Hacker101 – HackerOne
- iOS Networking with Swift
- UIKit Fundamentals
- Learn Backbone.js
- How to create in Android
- An Introduction to Practical Deep Learning – Intel
- Introduction: Elements of Microgame Design – Worcester Polytechnic Institute
- iOS Design Patterns
- The MVC Pattern in Ruby
- Deploying Applications with Heroku
- Android Basics: Data Storage
- VR Scenes and Objects
- Swift for Developers
- Building iOS Interfaces
- Developing Android Apps
- Designing RESTful APIs
- VR Design
- SQL for Data Analysis
- Fundamentals of Red Hat Enterprise Linux – Red Hat
- C++ For Programmers
- Fundamentals of Containers, Kubernetes, and Red Hat OpenShift – Red Hat
- Dynamic Web Applications with Sinatra
- VR Platforms & Applications
Nivel avanzado (102 cursos)
- [New] Quantum Machine Learning – University of Toronto
- [New] 大数据机器学习|Big Data Machine Learning – Tsinghua University
- [New] Network Analysis for Mines and Mineral Engineering – Indian Institute of Technology, Kharagpur
- [New] Fuzzy Logic and Neural Networks – Indian Institute of Technology, Kharagpur
- [New] Approximation Algorithms – EIT Digital
- Machine Learning for Data Science and Analytics – Columbia University★★★☆☆(15)
- Intro to Deep Learning – Google★★☆☆☆(13)
- Creative Applications of Deep Learning with TensorFlow
- Machine Learning for Trading – Georgia Institute of Technology★★★☆☆(11)
- Introduction to Artificial Intelligence – Stanford University★★★★★(9)
- Computational Neuroscience – University of Washington★★★★☆(8)
- Reinforcement Learning – Brown University★★☆☆☆(6)
- Intro to Parallel Programming – Nvidia★★★★☆(6)
- Advanced Operating Systems – Georgia Institute of Technology★★★★★(5)
- Introduction to Computer Vision – Georgia Institute of Technology★★★★★(5)
- Enabling Technologies for Data Science and Analytics: The Internet of Things – Columbia University★☆☆☆☆(5)
- Interactive 3D Graphics – Autodesk★★★★★(5)
- Machine Learning – Georgia Institute of Technology★★★★★(4)
- Applied Cryptography – University of Virginia★★★★☆(4)
- Introduction to Computer Architecture – Carnegie Mellon University★★★★★(4)
- Probabilistic Graphical Models 2: Inference – Stanford University★★★★☆(3)
- Quantitative Formal Modeling and Worst-Case Performance Analysis – EIT Digital ★★★☆☆(3)
- Nearest Neighbor Collaborative Filtering – University of Minnesota★★☆☆☆(2)
- Computational Photography – Georgia Institute of Technology★★★★☆(1)
- High Performance Computer Architecture – Georgia Institute of Technology★★★★★(1)
- Computability, Complexity & Algorithms – Georgia Institute of Technology★★★★★(1)
- Introduction to Operating Systems – Georgia Institute of Technology★★★★★(1)
- Artificial Intelligence (AI) – Columbia University★☆☆☆☆(1)
- Practical Deep Learning For Coders, Part 1 – ai★★★★★(1)
- Convolutional Neural Networks – ai
- Real-Time Audio Signal Processing in Faust – Stanford University
- S094: Deep Learning for Self-Driving Cars – Massachusetts Institute of Technology
- S191: Introduction to Deep Learning – Massachusetts Institute of Technology
- Computation Structures 3: Computer Organization – Massachusetts Institute of Technology
- Inferential Statistical Analysis with Python – University of Michigan
- Applied Machine Learning in Python – University of Michigan
- Cyber-Physical Systems Design & Analysis – Georgia Institute of Technology
- Knowledge-Based AI: Cognitive Systems – Georgia Institute of Technology
- GT — Refresher — Advanced OS – Georgia Institute of Technology
- High Performance Computing – Georgia Institute of Technology
- Intro to Information Security – Georgia Institute of Technology
- Artificial Intelligence – Georgia Institute of Technology
- Cyber-Physical Systems Security – Georgia Institute of Technology
- Machine Learning – Georgia Institute of Technology
- Network Security – Georgia Institute of Technology
- Machine Learning – Georgia Institute of Technology
- Compilers: Theory and Practice – Georgia Institute of Technology
- Machine Learning – Columbia University
- NP-Complete Problems – University of California, San Diego
- Information Security: Context and Introduction – University of London International Programmes
- Advanced Modeling for Discrete Optimization – University of Melbourne
- Basic Modeling for Discrete Optimization – University of Melbourne
- MATLAB et Octave pour débutants – École Polytechnique Fédérale de Lausanne
- Nature, in Code: Biology in JavaScript – École Polytechnique Fédérale de Lausanne
- Обработка изображений – Higher School of Economics
- Менеджмент информационной безопасности – Higher School of Economics
- Методы и средства защиты информации – Higher School of Economics
- Practical Reinforcement Learning – Higher School of Economics
- Addressing Large Hadron Collider Challenges by Machine Learning – Higher School of Economics
- Matrix Factorization and Advanced Techniques – University of Minnesota
- Embedded Software and Hardware Architecture – University of Colorado Boulder
- Modeling and Debugging Embedded Systems – University of Colorado Boulder
- Razonamiento artificial – Universidad Nacional Autónoma de México
- 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence — Search & Logic)from National Taiwan University
- Real Time Operating System – Indian Institute of Technology, Kharagpur
- Embedded Hardware and Operating Systems – EIT Digital
- System Validation: Automata and behavioural equivalences – EIT Digital
- System Validation (2): Model process behaviour – EIT Digital
- System Validation (4): Modelling Software, Protocols, and other behaviour – EIT Digital
- Machine Learning Crash Course with TensorFlow APIs – Google
- Learn TensorFlow and deep learning, without a Ph.D. – Google
- Advanced C++ – Microsoft
- Infrastructure as Code – Microsoft
- DevOps Practices and Principles – Microsoft
- Deep Learning Explained – Microsoft
- Introduction to Artificial Intelligence (AI) – Microsoft
- DevOps for Databases – Microsoft
- DevOps Testing – Microsoft
- Sparse Representations in Image Processing: – Theory to Practice – Technion — Israel Institute of Technology
- Sparse Representations in Signal and Image Processing: Fundamentalsfrom Technion — Israel Institute of Technology
- Cyber-Physical Systems: Modeling and Simulation – University of California, Santa Cruz
- Statistical Machine Learning – Carnegie Mellon University
- Introduction to OpenStack – Linux Foundation
- Blockchain for Business — An Introduction to Hyperledger Technologiesfrom Linux Foundation
- Introduction to Cloud Foundry and Cloud Native Software Architecturefrom Linux Foundation
- Reliable Distributed Algorithms, Part 2 – KTH Royal Institute of Technology
- Mathematics for Machine Learning: Multivariate Calculus – Imperial College London
- Mathematics for Machine Learning: PCA – Imperial College London
- Mathematics for Machine Learning: Linear Algebra – Imperial College London
- Computer System Design: Advanced Concepts of Modern Microprocessorsfrom Chalmers University of Technology
- Deep Learning with Python and PyTorch – IBM
- Deep Learning with Tensorflow – IBM
- Deep Learning for Natural Language Processing – University of Oxford
- Cutting Edge Deep Learning For Coders, Part 2 – ai
- Cloud Computing Security – University System of Maryland
- Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)²
- Networks and Communications Security – (ISC)²
- Access Controls from (ISC)²
- Systems and Application Security – (ISC)²
- Continuous Integration and Deployment
- Deep Learning Summer School
- Security Operations and Administration – (ISC)²
Fuente: Freecodecamp
Mail a blogs de biotec o ciencia o medicina:
Buenas noches, soy un licenciado en Biotecnología de la UNSAM (Argentina), me considero una persona que lee mucho sobre ciencia y tecnología en general y me gustaría aportar mi grano de arena….
Estuve mirando un poco su blog, el cuál me resultó sumamente interesante, me gustaría escribir contenido para usted, si le interesa por favor avíseme.
Gracias
Hola Juan! Nos puedes escribir a través de la página de contacto dándonos tu email? Gracias!