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Add "An Introduction to Interactive Programming in Python" part 1 and 2 to extras. Note: I don't know if these courses are worthy of being displayed in this list, but they are where I learned Python (and programming in general), so I'll just give them as a suggestion.
142 lines
4.2 KiB
Markdown
142 lines
4.2 KiB
Markdown
# Computer Science - Extra Resources
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## Courses
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- [Introduction to Computer Science](#introduction-to-computer-science)
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- [Math (Mathematical Thinking)](#math-mathematical-thinking)
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- [Program Design](#program-design)
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- [Math (Discrete Math)](#math-discrete-math)
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- [Algorithms](#algorithms)
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- [Programming Paradigms](#programming-paradigms)
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- [Software Testing](#software-testing)
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- [Math (Calculus)](#math-calculus)
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- [Software Architecture](#software-architecture)
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- [Theory](#theory)
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- [Software Engineering](#software-engineering)
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- [Math (Probability)](#math-probability)
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- [Computer Architecture](#computer-architecture)
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- [Operating Systems](#operating-systems)
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- [Computer Networks](#computer-networks)
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- [Databases](#databases)
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- [Cloud Computing](#cloud-computing)
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- [Math (Linear Algebra)](#math-linear-algebra)
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- [Cryptography](#cryptography)
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- [Security](#security)
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- [Compilers](#compilers)
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- [Parallel Computing](#parallel-computing)
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- [UX Design](#ux-design)
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- [Computer Graphics](#computer-graphics)
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- [Artificial Intelligence](#artificial-intelligence)
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- [Machine Learning](#machine-learning)
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- [Natural Language Processing](#natural-language-processing)
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- [Big Data](#big-data)
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- [Data Mining](#data-mining)
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- [Internet of Things](#internet-of-things)
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---
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### Introduction to Computer Science
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Courses | Duration | Effort
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[Introduction to Computer Science](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!)| 12 weeks | 10-20 hours/week
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[An Introduction to Interactive Programming in Python (Part 1)](https://www.coursera.org/learn/interactive-python-1)| 5 weeks | -
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[An Introduction to Interactive Programming in Python (Part 2)](https://www.coursera.org/learn/interactive-python-2)| - | -
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[Introduction to Computational Thinking and Data Science](https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-2#!)| 10 weeks | 15 hours/week
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### Math (Mathematical Thinking)
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### Program Design
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### Math (Discrete Math)
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### Algorithms
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Courses | Duration | Effort
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[Analysis of Algorithms](https://www.coursera.org/course/aofa)| 6 weeks | 6-8 hours/week
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### Programming Paradigms
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Courses | Duration | Effort
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[Principles of Reactive Programming](https://www.coursera.org/course/reactive)| 7 weeks | 5-7 hours/week
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### Software Testing
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### Math (Calculus)
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Courses | Duration | Effort
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[Multivariable Calculus](https://www.coursera.org/course/m2o2c2)| 6 weeks | 5-7 hours/week
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### Software Architecture
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Courses | Duration | Effort
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[Web Application Architectures](https://www.coursera.org/course/webapplications)| 6 weeks | 6-9 hours/week
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### Theory
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### Software Engineering
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Courses | Duration | Effort
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[Agile Development Using Ruby on Rails - Basics](https://www.edx.org/course/agile-development-using-ruby-rails-uc-berkeleyx-cs169-1x)| 9 weeks | 12 hours/week
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[Agile Development Using Ruby on Rails - Advanced](https://www.edx.org/course/agile-development-using-ruby-rails-uc-berkeleyx-cs169-2x)| 8 weeks | 12 hours/week
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[Startup Engineering](https://www.coursera.org/course/startup) | 12 weeks | 2-20 hours/week
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### Math (Probability)
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### Computer Architecture
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Courses | Duration | Effort
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[The Hardware/Software Interface](https://www.coursera.org/course/hwswinterface)| 8 weeks | 10-15 hours/week
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### Operating Systems
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Courses | Duration | Effort
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[Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/)| - | -
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### Computer Networks
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Courses | Duration | Effort
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[Introduction to Computer Networking](https://lagunita.stanford.edu/courses/Engineering/Networking-SP/SelfPaced/about) | - | 5-10 hours/week
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### Databases
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### Cloud Computing
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### Math (Linear Algebra)
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### Cryptography
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Courses | Duration | Effort
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[Applied Cryptography](https://www.udacity.com/course/applied-cryptography--cs387)| 8 weeks | 6 hours/week
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### Security
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### Compilers
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### Parallel Computing
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### UX Design
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### Computer Graphics
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### Artificial Intelligence
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### Machine Learning
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### Natural Language Processing
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### Big Data
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### Data Mining
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### Internet of Things
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