Content Discovery & MOOCs
Coursera, edX, Brilliant, YouTube channels — where to find good lessons.
This is the "where do I learn X?" page. The honest answer in 2026: a curated YouTube channel + freeCodeCamp / Khan Academy + a single MOOC is better than ten apps. For the platforms behind these courses see OER; for self-running a MOOC see Open edX.
MOOC platforms
- ★ Coursera — paid + free audit; Stanford / Yale / Google / IBM; specialisations + degrees
- certifications. Audit covers most lecture content for free; certificate / graded work is paid.
- ★ edX (now under 2U / Axim) — paid + free audit; MIT / Harvard / Berkeley / IBM; the original open MOOC platform. Open edX is the FOSS engine — see LMS platforms (self-host).
- FutureLearn — paid + free; UK / Open University.
- Khan Academy — free; see OER.
- MIT OpenCourseWare — free; see OER.
- Stanford Online, Harvard Online, Yale Online — university-direct.
- Class Central — free; the "Rotten Tomatoes for MOOCs" — aggregated reviews.
Subscription learning libraries
- LinkedIn Learning — paid + free with most US public-library cards (huge value).
- Pluralsight — paid + free trial; tech-focused.
- Skillshare — paid; creator-economy.
- MasterClass — paid; celebrity-instructor lifestyle.
- Domestika — paid; creative skills.
- CreativeLive — paid; photography / craft-flavoured.
- Brilliant.org — paid + free trial; CS / math / data / science; gamified short lessons.
- Wondrium / The Great Courses Plus — paid; humanities / academic.
- Curiosity Stream — paid; documentary-flavoured.
YouTube channels (free, often best-in-class)
Math / CS / engineering
- 3Blue1Brown — math intuition; the canonical math-explainer channel.
- Numberphile, Mathologer, Stand-up Maths — popular maths.
- Computerphile — CS topics in depth.
- Veritasium — physics / engineering.
- Two Minute Papers — ML research recaps.
- Andrej Karpathy — "zero to hero" deep-learning series; build a transformer.
- Sebastian Lague — game-dev / generative algorithms.
- CS50 — Harvard; full lectures.
- Crash Course (PBS) — many subjects.
Web / software
- The Net Ninja, Web Dev Simplified, Fireship, ThePrimeagen, Theo (t3.gg), Lee Robinson, Jack Herrington, Coding Garden, Coding Train (Daniel Shiffman), Traversy Media, Academind.
- Computerphile, mCoding, ArjanCodes — Python / general.
- NeetCode — algorithms / interview prep.
Hardware / electronics / maker
- bigclivedotcom, EEVblog, GreatScott!, Andreas Spiess, Hugh Jeffreys, The Hook Up.
- Stuff Made Here, William Osman — STEM-flavoured maker entertainment.
Science / general
- Kurzgesagt, MinutePhysics, MinuteEarth, SciShow, PBS Eons, PBS Space Time, PBS Infinite Series, SmarterEveryDay, Tom Scott, Steve Mould.
Languages / humanities
- Easy Languages (per language), Lingthusiasm, NativLang, The History of English Podcast.
Audio learning
- Hardcore History (Dan Carlin), In Our Time (BBC), Stuff You Should Know, Radiolab, 99% Invisible, Planet Money, The Daily — paid + free podcasts.
- Audible / Libro.fm / your library + Libby — audiobooks; see library systems / Koha.
Curated reading lists
- Teach Yourself CS — free CS reading list curated by ex-Google engineers.
- MIT Missing Semester — free; the dev-tool literacy course.
- roadmap.sh — community curated learning roadmaps.
- Awesome lists on GitHub — community curated topic lists.
Aggregators / discovery
- Class Central — free; aggregated MOOC reviews.
- YouTube itself — best educational-content discovery engine ever built; algorithm rewards long-watch educational content well in 2026.
- Reddit /r/learn[X], /r/[language]learning, /r/LearnProgramming — community curation.
Pick this if…
- Default broad MOOC, free audit: Coursera or edX.
- Library-card subscription: LinkedIn Learning (free with library card).
- Visual / gamified bite-sized: Brilliant.
- Math intuition: 3Blue1Brown + Khan Academy.
- Coding YouTube curriculum: Fireship + ThePrimeagen + Web Dev Simplified.
- Curated reading path: Teach Yourself CS or roadmap.sh.