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salimt/Courses-

711 stars for homework answers: the GitHub cheat-sheet economy

A curated archive of quiz and assignment solutions from Coursera, edX, and university MOOCs, maintained as a public rescue service for stuck learners.

710 stars Jupyter Notebook Learning
Courses-
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What it does

This repo collects worked solutions—quizzes, programming assignments, capstones—for dozens of online courses from Stanford, MIT, Harvard, Google, IBM, and others. It’s organized by institution and specialization, with folders for each course and module. The target audience is self-described: learners who “have difficulties in their learning process.”

The interesting bit

The scope is almost comically broad. One repo spans AWS architecture, Excel VBA, PostgreSQL, TensorFlow, Ruby on Rails, competitive programming, and investment management with Python. It’s less a study aid than a longitudinal snapshot of what MOOCs have been teaching for the past several years.

Key highlights

  • Covers 30+ specializations and certificates, from Harvard CS50 to Google Data Analytics to IBM’s Applied Data Science track
  • Mix of quiz answers and executable code (Jupyter notebooks, Java, Python, R)
  • Includes capstone projects and cumulative assignments, not just week-by-week exercises
  • Star count (711) suggests genuine demand, though engagement metrics like issues/PRs are not visible in the README
  • README is a flat directory listing; no search, no index, no difficulty ratings

Caveats

  • Academic integrity implications are unaddressed; many MOOCs explicitly prohibit sharing solutions
  • “The quiz and programming homework is belong to coursera and edx” — the disclaimer is present but grammatically shaky, which doesn’t inspire confidence about licensing clarity
  • No indication of whether solutions are verified correct, partially correct, or simply “what worked for me”
  • Truncated README suggests the list may be incomplete or unmaintained at the tail end

Verdict

Useful if you’re genuinely stuck on a specific assignment and need to reverse-engineer an approach. If you’re looking for pedagogical depth or guaranteed correctness, this is a starting point, not a destination. Instructors and platform enforcers will find it… familiar.

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