The Python Open Source Computer Science Degree

This is a curated list of free courses from reputable universities like MIT, Stanford, and Princeton that satisfy the same requirements as an undergraduate Computer Science degree, minus general education.

Entrepreneurship

Courses	School	Duration	Effort	Frequency	Prerequisites
Legal Aspects of Entrepreneurship Specialization	University of Maryland	3 months	2 hours/week	self-paced	none

Computer Science Basics

Courses	School	Duration	Effort	Frequency	Prerequisites
Mathematical Thinking in Computer Science	UC San Diego	6 weeks	2-5 hours/week	self-paced	none

Programming

Courses	School	Duration	Effort	Frequency	Prerequisites
Programming for Everybody (Getting Started with Python)	University of Michigan	4 weeks	4-6 hours/week	self-paced	none
Python Data Structures	University of Michigan	4 weeks	4-6 hours/week	self-paced	Programming for Everybody (Getting Started with Python)
Using Python to Access Web Data	University of Michigan	4 weeks	4-6 hours/week	self-paced	Python Data Structures
Using Databases with Python	University of Michigan	3 weeks	4-8 hours/week	self-paced	Using Python to Access Web Data
Capstone: Retrieving, Processing, and Visualizing Data with Python	University of Michigan	2 weeks	4-6 hours/week	self-paced	Using Databases with Python

Alternative

Courses	School	Duration	Effort	Frequency	Prerequisites
Python 3 Programming Specialization	University of Michigan	5 months	7 hours/week	self-paced	none

Math

Courses	School	Duration	Effort	Frequency	Prerequisites
Linear Algebra - Foundations to Frontiers	UT Austin	15 weeks	6-10 hours/week	self-paced	pre-calculus
Calculus 1A: Differentiation	MIT	12 weeks	6-10 hours/week	self-paced	pre-calculus
Differential Equations in Action	Udacity	8 weeks	6-10 hours/week	self-paced	Calculus 1A: Differentiation
Calculus 1B: Integration	MIT	15 weeks	6-10 hours/week	self-paced	Calculus 1A: Differentiation
Calculus 1C: Coordinate Systems & Infinite Series	MIT	8 weeks	6-10 hours/week	self-paced	Calculus 1B: Integration
Statistics with Python Specialization	Udacity	12 weeks	5-7 hours/week	self-paced	none
Intro to Statistics	Udacity	8 weeks	5-7 hours/week	self-paced	none
Probability - Uncertainty and Data	MIT	16 weeks	10-14 hours/week	instructor-paced	single-variable & multivariable calculus
Fundamentals of Statistics	MIT	18 weeks	10-14 hours/week	instructor-paced	single-variable & multivariable calculus, probability

Data Science

Courses	School	Duration	Effort	Frequency	Prerequisites
Introduction to Data Science in Python	University of Michigan	3 weeks	4-6 hours/week	self-paced	basic programming knowledge
Applied Plotting, Charting & Data Representation in Python	University of Michigan	4 weeks	5-7 hours/week	self-paced	Introduction to Data Science in Python
Applied Machine Learning in Python	University of Michigan	6 weeks	5-7 hours/week	self-paced	Applied Plotting, Charting & Data Representation in Python
Applied Text Mining in Python	University of Michigan	5 weeks	5-7 hours/week	self-paced	Applied Machine Learning in Python
Applied Social Network Analysis in Python	University of Michigan	5 weeks	5-7 hours/week	self-paced	Applied Text Mining in Python

Systems

Courses	School	Duration	Effort	Frequency	Prerequisites
Build a Modern Computer from First Principles: From Nand to Tetris	Hebrew University of Jerusalem	6 weeks	5 hours/week	twice a month	basic programming knowledge
Build a Modern Computer from First Principles: From Nand to Tetris II	Hebrew University of Jerusalem	6 weeks	10-15 hours/week	once a month	Build a Modern Computer from First Principles: From Nand to Tetris
Introduction to Operating Systems	Georgia Tech	8 weeks	5-8 hours/week	self-paced	Build a Modern Computer from First Principles: From Nand to Tetris II

Theory

Courses	School	Duration	Effort	Frequency	Prerequisites
Computer Science: Algorithms, Theory, and Machines	Princeton	10 weeks	2-5 hours/week	once a month	Calculus 1A (all), basic programming
Algorithms, Part I	Princeton	6 weeks	6-12 hours/week	once a month	Computer Science: Algorithms, Theory, and Machines
Algorithms, Part II	Princeton	6 weeks	6-12 hours/week	once a month	Algorithms, Part I

Applications

Courses	School	Duration	Effort	Frequency	Prerequisites
Machine Learning	Stanford	11 weeks	5-7 hours/week	twice a month	Linear Algebra - Foundations to Frontiers
Database Management Essentials	CU	7 weeks	4-6 hours/week	twice a month	basic programming & CS knowledge
Cryptography I	Stanford	7 weeks	5 hours/week	once a month	Linear Algebra - Foundations to Frontiers & Introduction to Probability and Data

Unix

Courses	School	Duration	Effort	Frequency	Prerequisites
The Unix Workbench	JHU	4 weeks	4 hours/week	once a month	none
Configuring Linux Web Servers	Udacity	1 week	1 hour/week	self-paced	The Unix Workbench