Os mostramos nuestra selección de los mejores cursos online para comenzar este mes de abril, ordenados según un ranking de puntuaciones de los usuarios que ya los han cursado y clasificados en 3 niveles de dificultad: principiante, intermedio y avanzado.

Nivel principiante

• An Introduction to Interactive Programming in Python (Part 1) – Rice University ★★★★★(3035)
• Programming for Everybody (Getting Started with Python) – University of Michigan ★★★★★(2626)
• Introduction to Programming with MATLAB –Vanderbilt University ★★★★★(186)
• Introduction to Computer Science and Programming Using Python –Massachusetts Institute of Technology ★★★★★(115)
• Learn to Program: The Fundamentals –University of Toronto ★★★★★(100)
• CS50’s Introduction to Computer Science – Harvard University ★★★★★(67)
• An Introduction to Interactive Programming in Python (Part 2) – Rice University ★★★★★(52)
• Internet History, Technology, and Security – University of Michigan ★★★★★(36)
• Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) – Hebrew University of Jerusalem ★★★★★(23)
• Introducción a la programación orientada a objetos en Java – Universidad de los Andes ★★★★★(17)
• Introduction to CSS3 – University of Michigan ★★★★★(13)
• Networking: Introduction to Computer Networking – Stanford University ★★★★★(11)
• Intro to Computer Science –University of Virginia ★★★★☆(68)

Nivel intermedio

• Python Data Structures – University of Michigan ★★★★★(1589)
• Using Python to Access Web Data – University of Michigan ★★★★★(832)
• Using Databases with Python – University of Michigan ★★★★★(721)
• Machine Learning – Stanford University ★★★★★(326)
• Functional Programming Principles in Scala – École Polytechnique Fédérale de Lausanne ★★★★★(63)
• Algorithms, Part I – Princeton University ★★★★★(58)
• Machine Learning for Musicians and Artists – Goldsmiths, University of London ★★★★★(58)
• Cryptography I – Stanford University ★★★★★(49)
• Functional Program Design in Scala – École Polytechnique Fédérale de Lausanne ★★★★★(38)
• CS188.1x: Artificial Intelligence – University of California, Berkeley ★★★★★(30)
• Principles of Computing (Part 1) – Rice University ★★★★★(29)
• Software Security – University of Maryland, College Park ★★★★☆(25)
• Programming Languages, Part A – University of Washington ★★★★★(22)
• Algorithms, Part II – Princeton University ★★★★★(21)
• Agile Development Using Ruby on Rails — The Basics – University of California, Berkeley ★★★★★(18)
• The Nature of Code – Processing Foundation ★★★★★(16)
• Object Oriented Programming in Java – University of California, San Diego ★★★★★(13)
• Introduction to Game Development – Michigan State University ★★★★★(12)

Nivel avanzado

• Machine Learning: Regression – University of Washington ★★★★★(18)
• Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★★(15)
• Neural Networks and Deep Learning – deeplearning.ai ★★★★★(12)
• Introduction to Computer Vision – Georgia Institute of Technology ★★★★★(6)
• Machine Learning – Georgia Institute of Technology ★★★★★(5)
• Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(37)
• Introduction to Artificial Intelligence from Stanford University ★★★★☆(24)
• Neural Networks for Machine Learning from University of Toronto ★★★★☆(22)
• Probabilistic Graphical Models 1: Representation from Stanford University★★★★☆(17)

Fuente: Freecodecamp