Aprender linguagem de programação com pouca grana (até grátis)

Aprender uma linguagem de programação sempre é importante.

Muitas escolas já incluem “codificação” e “lógica de programação” na grade curricular do ensino fundamental.

Se para a geração X era requisito saber inglês para algumas vagas de trabalho, em pouco tempo, será requisito também saber programação.

Para quem deseja trabalhar com Machine Learning e Data Science, linguagens como Python e/ou R podem ser diferenciais no currículo. Entretanto, saber o básico de HTML5 é importante para a área de marketing, até mesmo para fazer coisas simples como enviar email marketing.

Para a seleção de sites abaixo utilizei como referência o artigo original 12 Sites That Will Teach You Coding at a Low Cost, Even Free.

Para aprender linguagem de programação:

1. edX
2. Udemy
3. Django Girls
4. Code Avengers
5. Codecademy
6. Coursera
7. Khan Academy
8. freeCodeCamp
9. Google Web Fundamentals

Livros grátis de programação

Livros de Programação Grátis disponível em GitHub / eBook Foundation

Cursos de programação de nível universitário.

A seguinte seleção abaixo foi retirada do artigo “Online Learning: An Intensive Bachelor's Level Computer Science Program Curriculum, Part II”

Cursos de Introdução

Intro to Computer Science: 

• Introduction to Computer Science and Programming: MIT 
• Intensive Introduction to Computer Science: Harvard 
• Introduction to Computer Science and Programming Methodology: Stanford 
  • Programming Abstractions (Second Course in Unit): Stanford

Mathematics: 

• Mathematics for Computer Science: MIT
• Discrete Mathematics: ArsDigita

Programming:

• Programming 1: University of Toronto
• Programming 2: University of Toronto

Theory of Computation:

• Introduction to the Theory of Computation: Stonehill
• Principles of Computing: Rice 

Data Structures and Algorithms:

• Introduction to Data Structures and Algorithms: UNSW
• Introduction to Algorithms: MIT

Cursos de fundamentos

Theory:

• Theory of Computation: UC Davis
• Theory of Computation: IIT Kanpur 

Algorithms and Data Structures:

• Efficient Algorithms and Intractable Problems: Berkeley
• Data Structures: Berkeley

Mathematics:

• Linear Algebra through Computer Science Applications:  Brown
• Discrete Math and Probability Theory: Berkeley

Operating Systems:

• Operating Systems and Systems Programming: Berkeley 
• Introduction to Linux: edX

Computer Programming:

• Programming Paradigms: Stanford
• Object Oriented Programming: MIT
• Object Oriented Programming in C++: ITU

Software Engineering:

• Software Engineering: Berkeley
• Elements of Software Construction: MIT

Computer Architecture:

• Computer Architecture: Carnegie Mellon 
• Computer Architecture: Princeton

Data Management:

• Introduction to Databases: Stanford
• Introduction to Modern Database Systems: Saylor

Networking and Data Communications:

• Fundamentals of Computer Networking: Manhattan College
• Introduction to Data Communications:  Thammasat University

Cryptography and Security:

• Introduction to Cryptography: Ruhr University 
• Introduction to IT Security: Thammasat University

Artificial Intelligence:

• Introduction to Artificial Intelligence: Berkeley

Cursos Intermediários e Avançados

Algorithms and Data Structures:

• Advanced Data Structures: MIT  
• Analytic Combinatorics: Princeton

Systems:

• Computer System Engineering: MIT 
• The Hardware/Software Interface: University of Washington

Programming:

• Design in Computing: UNSW
• Principles of Programming Languages: IIT
• C++ for C Programmers: UC Santa Cruz
• Heterogeneous Parallel Programming: University of Illinois
• Compilers: Stanford

Software Engineering:

• Mobile Software Engineering: Harvard 
• Software Engineering for Scientific Computing: Berkeley

Mobile App Development:

• Building Mobile Applications: Harvard
• iPhone Application Development: ITU
• Android Application Development: ITU

Web Development:

• Building Dynamic Websites: Harvard

Databases and Data Management: 

• Introduction to Database Management Systems: KU Leuven University
• Database Management Systems: Ars Digita
• Advanced Databases: Saylor

Security:

• Security and Cryptography: Thammasat University 
• Designing and Executing Information Security Strategies: University of Washington
• Information Security and Risk Management in Context: University of Washington

Cryptography:

• Cryptography 1: Stanford
• Cryptography 2: Stanford
• Bilinear Pairings in Cryptography: BIU

Artificial Intelligence and Machine Learning:

• Artificial Intelligence: HRW
• Artificial Intelligence: Berkeley
• Machine Learning: Stanford

Natural Language Processing:

• Natural Language Processing: Columbia
• Natural Language Processing: Stanford

Digital Media:

• Digital Image Processing: Purdue 
• Computer Graphics: Berkeley
• Computer Graphics: ITU

Networking and Communications:

• Computer Networks: University of Washington
• Internet Technologies and Applications: Thammasat University

Statistics and Probability:

• Statistics and Probability: Harvard
• Probabilistic Systems Analysis and Applied Probability: MIT
• Statistical Inference: Johns Hopkins
• Data Analysis and Statistical Inference: Duke