SICP (Structure and Interpretation of Computer Programs)

Category

Core CS

Provider

MIT Press

Type

course

Level

intermediate

Topic

Core CS

Track

Core CS

Section

n/a

Format

['text']

Status

publishable

Commercial

unknown

Featured

no

Fast start

no

Sequence

n/a

Priority

n/a

Primary source

learning_paths

Sources

learning_paths

ID

3a125fcd31144b2b

Teach Yourself Computer Science

teachyourselfcs.com

Gap-filling map after bootcamps/self-teaching.

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UC Berkeley

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MIT OCW

Discrete math, proofs, probability, graphs, and recurrences.

OSSU Computer Science

OSSU

Community-built self-taught CS curriculum for learners who want a broad, rigorous foundation.

Stanford CS229: Machine Learning

Stanford

Solid mathematical and algorithmic treatment of core ML.

scikit-learn documentation

scikit-learn

Still the fastest way to build strong baselines and classical ML systems.

Quantum Country

Quantum Country

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Neuromatch Neural Data Science

Neuromatch Academy

Excellent bridge into modern computational neuroscience and data handling.

Nand2Tetris

Nand2Tetris

One of the best bottom-up systems courses ever made.

MIT 6.004 / Computation Structures

MIT

Bridges digital logic, computer architecture, performance, and systems reasoning.

Google Machine Learning Crash Course

Google

High-signal introduction to supervised learning, feature engineering, evaluation, and modern ML workflow.

Full Stack Open

University of Helsinki

Serious path into React, Node, testing, APIs, and deployment.