Tooling

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.

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