Skip to content

A fully curated, open-source Data Science curriculum focused on Python. Includes top-tier university courses (MIT, Stanford, Princeton) covering essential topics in computer science, data analysis, machine learning, and statistics — everything you need to build a solid foundation in Data Science, 100% free.

Notifications You must be signed in to change notification settings

harrystaley/open-source-data-science-degree-python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 

Repository files navigation

The Python Open Source Data 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 / Data Science degree, minus general education.

Learning How to Efficiently Learn

If it has been awhile since you have been in the classroom or need to take your learning skills to the next level this course is mandatory. This was my survival kit when I worked full time while pursuing a B.S. in Computer Science.

Courses School Duration Effort Frequency Prerequisites Provider
Learning How to Learn: Powerful mental tools to help you master tough subjects Deep Teaching Solutions 4 weeks 3-4 hours/week self-paced none Coursera

Computer Science Basics

Courses School Duration Effort Frequency Prerequisites Provider
Intro to Computer Science Harvard 10 weeks 10-20 hours/week self-paced none EdX
CS50's Introduction to Programming with Python Harvard 10 weeks 10-20 hours/week self-paced none EdX
Mathematical Thinking in Computer Science UC San Diego 6 weeks 2-5 hours/week once a month none Coursera

Programming

Courses School Duration Effort Frequency Prerequisites Provider
Python for Everybody Specialization University of Michigan 8 months 3-6 hours/week self-paced none Coursera

Math

Single Variable Calculus

Courses School Duration Effort Frequency Prerequisites Provider
Calculus 1A: Differentiation MIT 12 weeks 6-10 hours/week self-paced pre-calculus EdX
Calculus 1B: Integration MIT 15 weeks 6-10 hours/week self-paced Calculus 1A EdX
Calculus 1C: Coordinate Systems & Infinite Series MIT 8 weeks 6-10 hours/week self-paced Calculus 1B EdX
Alternative

18.01x Single Variable Calculus | MIT | 10 months | 6-10 hours/week | self-paced | pre-calculus | EdX

Linear Algebra and Statistics

Courses School Duration Effort Frequency Prerequisites Provider
Linear Algebra - Foundations to Frontiers UT Austin 15 weeks 6-10 hours/week self-paced pre-calculus EdX
Introduction to Statistics Stanford 7 weeks 5 hours/week self-paced none Coursera

Databases

Courses School Duration Effort Frequency Prerequisites Provider
Database Design and Basic SQL in PostgreSQL University of Michigan 4 weeks 4-6 hours/week self-paced Programming basics Coursera
Intermediate PostgreSQL University of Michigan 4 weeks 4-6 hours/week self-paced Previous course Coursera
JSON and Natural Language Processing in PostgreSQL University of Michigan 4 weeks 4-6 hours/week self-paced Previous course Coursera
Database Architecture, Scale, and NoSQL with Elasticsearch University of Michigan 4 weeks 4-6 hours/week self-paced Previous course Coursera
Alternative

PostgreSQL for Everybody | University of Michigan | 4 months | 4-6 hours/week | self-paced | Programming basics | Coursera Databases: Relational Databases and SQL | Stanford | 6 weeks | 5-10 hours/week | self-paced | none | EdX

Data Science

Courses School Duration Effort Frequency Prerequisites Provider
Applied Data Science with Python Specialization University of Michigan 5 months 7 hours/week self-paced Python programming skills Coursera

Optional: IBM Data Science Professional Certificate | IBM | 10 months | 4 hours/week | self-paced | none | Coursera

Computing Systems

Courses School Duration Effort Frequency Prerequisites Provider
Build a Modern Computer from First Principles I Hebrew University 6 weeks 10-15 hours/week self-paced none Coursera
Build a Modern Computer from First Principles II Hebrew University 6 weeks 10-15 hours/week self-paced Part I Coursera
Introduction to Operating Systems Georgia Tech 8 weeks 5-8 hours/week self-paced Part II Udacity

Computer Science Theory

Courses School Duration Effort Frequency Prerequisites Provider
Computer Science: Algorithms, Theory, and Machines Princeton 10 weeks 2-5 hours/week once a month Calculus, basic programming Coursera
Algorithms, Part I Princeton 6 weeks 6-12 hours/week once a month Previous course Coursera
Algorithms, Part II Princeton 6 weeks 6-12 hours/week once a month Part I Coursera
Automata Theory Stanford 6 weeks 4-8 hours/week self-paced Theory basics Coursera

Computer Applications

Courses School Duration Effort Frequency Prerequisites Provider
Database Management Essentials CU 7 weeks 4-6 hours/week twice a month basic programming & CS knowledge Coursera
Cryptography I Stanford 7 weeks 5 hours/week once a month Linear Algebra Coursera
Applied Cryptography CU 6 weeks 4–6 hours/week self-paced programming EdX

Unix

Courses School Duration Effort Frequency Prerequisites Provider
Linux Command Line Basics Udacity 1 week 5 hours/week self-paced none Udacity
The Unix Workbench JHU 4 weeks 4 hours/week once a month none Coursera

Open Source Development and Version Control

Courses School Duration Effort Frequency Prerequisites Provider
Open Source Software Development, Linux and Git Specialization The Linux Foundation 4 Months 3-5 Hours/week self-paced some programming Coursera
Version Control with Git Google 1 week 5 hours self-paced none Coursera

About

A fully curated, open-source Data Science curriculum focused on Python. Includes top-tier university courses (MIT, Stanford, Princeton) covering essential topics in computer science, data analysis, machine learning, and statistics — everything you need to build a solid foundation in Data Science, 100% free.

Topics

Resources

Stars

Watchers

Forks

Packages

No packages published