# Awesome Learning Collections | Massive Collection & Varios Topics đź“š **URL:** \ **Category:** Give-Away and Freebies\ **Tags:** programming, freebies\ **Created:** [March 28, 2024, 8:11pm UTC](https://onehack.st/t/awesome-learning-collections-massive-collection-varios-topics/280196 "2024-03-28T20:11:02Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\ **Post date:** [March 28, 2024, 8:11pm UTC](https://onehack.st/t/awesome-learning-collections-massive-collection-varios-topics/280196/1 "2024-03-28T20:11:03Z")
![image](https://onehack.st/uploads/default/original/3X/b/8/b832a7c965533854aa767b721912775db3fe2f7c.png) _![image](https://onehack.st/uploads/default/original/3X/c/d/cdfb67d2ae90cce113642c03e5e1d0e1e7a449d0.png) A curated list of awesome learning collections on various topics._ ### Contents - Notes - Computer Science - Data Science - Web Development - Software Development - Languages - Design - Game Development - Security - Cryptocurrency - Business - Others ## Notes There are a lot of awesome learning collections here and I’m trying to add new and keep them in one place. So I have curated them here so newbies and members can easily take advantage of it. ## Computer Science - [Google Tech Dev Guide](https://techdevguide.withgoogle.com/) - _Grow Your Technical Skills with Google_. - [Coding Interview University](https://github.com/jwasham/coding-interview-university) - A pretty comprehensive checklist of things to learn and review to prepare for a coding interview. - [Open Source Society University Computer Science Path](https://github.com/ossu/computer-science) - Teach yourself Computer Science without spending a dime. - [Computer Science Courses with Video Lectures](https://github.com/Developer-Y/cs-video-courses) - _List of Computer Science courses with video lectures_. - [Tech Interview Megarepo](https://github.com/jdsutton/Technical-Interview-Megarepo) - Study materials for technical interviews. - [Lib4Dev Algorithms Topic](http://www.lib4dev.com/topics/algorithm) - Algorithm-related repos on GitHub listed by Lib4Dev. - [Visualgo](https://visualgo.net/en) - _Visualising data structures and algorithms through animation._ - [Khan Academy Computing Courses](https://www.khanacademy.org/computing) - A couple of free courses on Computing by Khan Academy. - [The Bit Theories](https://thebittheories.com/) - 3-minute computer science reads. - [Operating Systems: Three Easy Pieces](http://pages.cs.wisc.edu/~remzi/OSTEP/) - Free book on Operating Systems. - [Computer Science: A Full Bachelor Curriculum](https://mindweb.network/board/computer-science-a-full-bachelor-curriculum) - _This board is a collection of free online courses that will provide you with the same knowledge that you would otherwise receive by earning a full Bachelor of Science in Computer Science from one of the top technical universities in the world._ - [Interviews](https://github.com/kdn251/interviews) - _Everything you need to get the job._ - [Awesome Computer Science Opportunities](https://github.com/anu0012/awesome-computer-science-opportunities) - _An awesome list of events and fellowship opportunities for Computer Science students._ - [Tech Interview Handbook](https://github.com/yangshun/tech-interview-handbook) - _Algorithms study materials, behavioral content and tips for rocking your coding interview._ - [Minimal Python DS & Algorithms](https://github.com/keon/algorithms) - _Minimal examples of data structures and algorithms in Python._ - [Interactive Coding Challenges](https://github.com/donnemartin/interactive-coding-challenges) - _Interactive Python coding interview challenges (algorithms and data structures)._ - [Data Structures and Algorithms Problems](http://www.techiedelight.com/list-of-problems/) - A list of DS and algorithm problems you can do in any language. - [Competitive Programming Curriculum](https://github.com/AhmadElsagheer/Competitive-programming-library/tree/master/curriculum) - A list of resources for learning competitive programming. - [Competitive Programming Worksheet](https://docs.google.com/spreadsheets/d/1iJZWP2nS_OB3kCTjq8L6TrJJ4o-5lhxDOyTaocSYc-k/edit#gid=1778914663) - A spreadsheet with exercises and learning resources for competitive programming. - [Base CS](https://medium.com/basecs) - _Exploring the basics of computer science, every Monday, for a year._ - [Cosmos](https://github.com/OpenGenus/cosmos) - Your personal library of every algorithm and data structure code that you will ever encounter - [AlgoWiki](https://github.com/vicky002/AlgoWiki) - _Repository which contains links and resources on different topics of Computer Science._ - [Geeks For Geeks](https://www.geeksforgeeks.org/) - _A computer science portal for geeks._ - [Algorithms, etc.](http://jeffe.cs.illinois.edu/teaching/algorithms/) - _Algorithms notes by [Jeff Erickson](http://www.cs.illinois.edu/~jeffe)._ - [Coding Interview Topic on Github](https://github.com/topics/coding-interviews) - [Competitive Programming Topic on Github](https://github.com/topics/competitive-programming) - [Interview repo by @andreis](https://github.com/andreis/interview) - _Everything you need to prepare for your technical interview._ - [Interview Topic on Github](https://github.com/topics/interview) - [Algorithm Topic on Github](https://github.com/topics/algorithm) - [CS Dojo](https://www.youtube.com/channel/UCxX9wt5FWQUAAz4UrysqK9A) - Learning CS concepts and coding interviews from YK Sugishita. - [Operating Systems: From 0 to 1](https://github.com/tuhdo/os01) - _Bootstrap yourself to write an OS from scratch. A book for self-learner._ - [SICP Course](https://github.com/creactiviti/sicp-course) - Self-paced course on Structure and Interpretation of Computer Programs. - [Algorithms](https://github.com/marcosfede/algorithms) - _Solved algorithms and data structures problems in many languages._ - [Learn Computer Science in 5 Months](https://github.com/llSourcell/Learn_Computer_Science_in_5_Months) - _This is the Curriculum for “Learn Computer Science in 5 Months” By Siraj Raval on Youtube_. - [Javascript Algorithms](https://github.com/trekhleb/javascript-algorithms) - _Algorithms and data structures implemented in JavaScript with explanations and links to further readings._ - [Learn Math Fast](https://github.com/llSourcell/learn_math_fast) - _This is the Curriculum for “How to Learn Mathematics Fast” By Siraj Raval on Youtube._ - [Classpert Online Course Search](https://classpert.com/) - _Find and compare online courses from multiple e-learning platforms. Focus on Computer Science Courses_ ## Data Science - [My Alcamy Data Science Library](https://alcamy.org/library/data-science) - An Alcamy library for learning data science, curated by me. - [Open Source Society University Data Science Path](https://github.com/ossu/data-science) - Teach yourself Data Science without spending a dime! - [Awesome Data Science](https://github.com/bulutyazilim/awesome-datascience) - A curated list of resources for learning Data Science. - [Deep Learning Tutorials](https://github.com/sjchoi86/dl_tutorials) - A collection of PowerPoint presentations about deep learning. - [TensorFlow World Resources](http://tensorflow-world-resources.readthedocs.io/en/latest/) - _Organized & Useful Resources about Deep Learning with TensorFlow._ - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - A practical approach to machine learning. - [Data Science Cheatsheets](https://www.datacamp.com/community/data-science-cheatsheets) - Learn data science tools by checking out these cheatsheets. - [Kaggle Learn](https://www.kaggle.com/learn/overview) - Learn Hands-On Machine Learning, Deep Learning, and more! - [Learn with Google AI](https://ai.google/education/#?modal_active=none) - _Educational resources from machine learning experts at Google._ - [Fast.ai - Practical Deep Learning For Coders](http://course.fast.ai/) - _Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down._ - [Fast.ai - Cutting Edge Deep Learning For Coders](http://course.fast.ai/part2.html) - _Learn the latest developments in deep learning, how to read and implement new academic papers, and how to solve challenging end-to-end problems such as natual language translation._ - [Fast.ai - From Deep Learning Foundations to Stable Diffusion](https://www.fast.ai/posts/part2-2022.html) - Fast.ai’s 2022 course that teaches Deep Learning up to the Stable Diffusion level. - [Rahul Kumar’s Awesome AI Bookmarks](https://github.com/goodrahstar/my-awesome-AI-bookmarks) - _Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world._ - [Practical PyTorch](https://github.com/spro/practical-pytorch) - _PyTorch tutorials demonstrating modern techniques with readable code._ - [Facebook AI](https://facebook.ai/) - Facebook’s AI Tools. - [Made with ML](https://madewithml.com/) - All about MLOps. - [Data Engineering Wiki](https://dataengineering.wiki/Learning+Resources) - _A collection of recommended resources by other Data Engineers._ Learning list from the Data Engineering subreddit. - [Official TensorFlow Learning Resources](https://www.tensorflow.org/resources/learn-ml) - _A collection of resources of learning TensorFlow directly from the official TensorFlow website._ - [Data Mesh Architecture](https://www.datamesh-architecture.com/) - A resource on how to implement Data Mesh in general, with links to resources for learning more. ## Web Development - [Frontend Development Bookmarks](https://gist.github.com/dypsilon/5819504) - _A badass list of frontend development resources I collected over time._ - [What Do I Need to Know to Ace a JavaScript Interview?](https://github.com/adam-s/js-interview-review) - A collection of resources for learning JS to ace an interview. - [Frontend Dev Bookmarks](https://frontend.directory/) - _Manually curated collection of resources for frontend web developers._ - [Frontend Dev Resources](https://github.com/dmytroyarmak/frontend-dev-resources) - _List of useful resources for front end developers._ - [BestOfJS Learning Resources](https://bestof.js.org/tags/learning/) - GitHub repos for JavaScript learning. - [JS Stack from Scratch](https://github.com/verekia/js-stack-from-scratch) - _Step-by-step tutorial to build a modern JavaScript stack._ - [20+ Docs and Guides for Front End Developers Series](https://www.sitepoint.com/20-docs-guides-front-end-developers-12/) - Exactly as the name sounds. Also contains links to the previous articles of the series. - [AWS Open Guide](https://github.com/open-guides/og-aws) - A practical guide to AWS. - [Search Engineering Open Guide](https://github.com/open-guides/og-search-engineering) - A practical guide to search engineering. - [HTML Reference](http://htmlreference.io/) - _A free guide to HTML._ - [CSS Reference](http://cssreference.io/) - _A free guide to CSS._ - [Web Design in 4 Minutes](https://jgthms.com/web-design-in-4-minutes/) - A short interactive tutorial that teaches web design. - [PHP: The Right Way](http://www.phptherightway.com/) - A collection of PHP best practices. - [W3Schools How Tos](https://www.w3schools.com/howto/default.asp) - Collection of tutorials by W3Schools. - [Upskill Essential Web Development Course](https://upskillcourses.com/p/essential-web-developer-course) - Learn to build full stack web apps for free. - [Frontend Developer Interview Questions](https://github.com/h5bp/Front-end-Developer-Interview-Questions) - Ace your frontend developer interview by reviewing these questions. - [Mozilla Developer Network Docs](https://developer.mozilla.org/en-US/) - _Resources for developers, by developers._ - [30 Seconds of Code](https://30secondsofcode.org/) - _Curated collection of useful JavaScript snippets that you can understand in 30 seconds or less._ - [Best of JS](https://bestof.js.org/) - _Check out the most popular open-source projects and the latest trends about the web platform and node.js._ - [Spellbook for Modern Web Dev](https://github.com/dexteryy/spellbook-of-modern-webdev) - _A Big Picture, Thesaurus, and Taxonomy of Modern JavaScript Web Development._ - [Web Developer Roadmap](https://github.com/kamranahmedse/developer-roadmap) - Roadmap to becoming a web developer. - [Modern Javascript Cheatsheet](https://github.com/mbeaudru/modern-js-cheatsheet) - _Cheatsheet for the JavaScript knowledge you will frequently encounter in modern projects._ - [Grab Frontend Guide](https://github.com/grab/front-end-guide) - _Study guide and introduction to the modern front end stack._ - [Interneting Is Hard But It Doesn’t Have To Be](https://internetingishard.com/) - Friendly web development tutorials for complete beginners for Free. - [Exploring JS](http://exploringjs.com/) - In-depth online books on JavaScript by Dr. Axel Rauschmayer. Free as in beer. - [ES6 Katas](http://es6katas.org/) - _Learn ES6 by doing it. Fix failing tests. Keep all learnings._ - [React Bots](https://vasanthk.gitbooks.io/react-bits/) - _A compilation of React Patterns, techniques, tips and tricks._ - [Front End Interview Handbook](https://github.com/yangshun/front-end-interview-handbook) - _Almost complete answers to “Front-end Job Interview Questions” which you can use to interview potential candidates, test yourself or completely ignore._ - [You Don’t Know JS](https://github.com/getify/You-Dont-Know-JS) - _This is a series of books diving deep into the core mechanisms of the JavaScript language._ - [Glitch Web Starter Kit](https://glitch.com/website-starter-kit) - _A free, 4-part video course with interactive code examples to learn to make a website using HTML, JS, CSS and Node.js._ - [Glitch React Starter Kit](https://glitch.com/react-starter-kit) - _A free, 5-part video course with interactive code examples that will help you learn React._ - [Front-End-Wizard](https://github.com/kieranmv95/Front-End-Wizard) - _A collection of front end resources, tutorials, codepens and articles._ - [Modern JavaScript](https://javascript.info/) - _How it’s done now. From the basics to advanced topics with simple, but detailed explanations._ - [Cloud Native Landscape](https://landscape.cncf.io/grouping=landscape&license=open-source&sort=stars) - All the popular software for working in the cloud. - [HEAD](https://gethead.info/) - _A free guide to elements._ - [Front End Checklist](https://github.com/thedaviddias/Front-End-Checklist) - _The Front-End Checklist Application is perfect for modern websites and meticulous developers!_ - [Frontend Performance Checklist](https://www.dropbox.com/s/8h9lo8ee65oo9y1/front-end-performance-checklist-2018.pdf?dl=0) - Improve your frontend web performance. Download PDF from the link. - [Awesome Prisma](https://www.graph.cool/forum/t/sparkles-awesome-prisma/2878) - An awesome collection of Prisma resources from the GraphCool people themselves. - [Real World Apps](https://github.com/gothinkster/realworld) - _See how the exact same [Medium.com](http://Medium.com) clone (called Conduit) is built using any of our supported frontends and backends. Yes, you can mix and match them, because they all adhere to the same API spec_. - [Learn Storybook](https://www.learnstorybook.com/) - _Learn Storybook to create bulletproof UI components as you build an app UI from scratch._ - [Frontend Masters’ Frontend Handbook](https://frontendmasters.com/books/front-end-handbook/2018/) - _This is a guide that anyone could use to learn about the practice of front-end development._ - [RxJS Docs](http://rxjsdocs.com/#/) - A separate, _pretty official_ RxJS docs website. - [Front-end Design Checklist](https://frontenddesignchecklist.io/) - _The Design Checklist for Creative Web Designers and Patient Front-End Developers._ - [Node Best Practices](https://github.com/i0natan/nodebestpractices) - A list of best practices in Node and its ecosystem. - [Scaler Topics](https://www.scaler.com/topics/) - Free Programming Tutorials ## Software Development - [How to be a Programmer](https://github.com/braydie/HowToBeAProgrammer) - Learn how to be a programmer with this collection of resources. - [FreeCodeCamp Guides](https://guide.freecodecamp.org/) - Articles about programming from FreeCodeCamp and the community. - [Lib4Dev Books](http://www.lib4dev.com/topics/book) - Books hosted on GitHub listed by Lib4Dev. - [GitHub Collections](https://github.com/collections) - _Curated lists and insight into burgeoning industries, topics, and communities._ - [Github Topics](https://github.com/topics) - A list of top topics and their corresponding resources on GitHub. - [One Click to be Pro](https://github.com/vic317yeh/One-Click-to-Be-Pro) - _A list of the best resources to help you become a pro._ - [QuickCode](http://www.quickcode.co/) - _A list of free courses to learn any programming language._ - [DevFreeBooks](https://devfreebooks.github.io/) - _A collection of free books for developers._ - [Goal Kicker Free Programming Books](http://goalkicker.com/) - _Programming Notes for Professionals books._ - [Awesome List of Top Github Repos](http://www.gitlogs.com/awesome-topics) - _Curated List of Awesome Github Topics._ - [Programmer Competency Matrix](http://sijinjoseph.com/programmer-competency-matrix/) - A quick check of your skills as a programmer. - [Ebook Foundation Free Programming Books](https://github.com/EbookFoundation/free-programming-books/blob/master/free-programming-books.md) - A list of freely available programming books. - [_You Don’t Need_ Github Repo](https://github.com/you-dont-need) - A collection of _You Don’t Need_ repos like _You Don’t Need Javascript_. - [Viking Code School Prep](https://www.vikingcodeschool.com/prep) - _Everything you need to begin a career in software engineering. 100% Free._ - [Enlight](https://enlight.nyc/) - Learn to program by building projects. - [Linux Journey](https://linuxjourney.com/) - _Learn the ways of Linux-fu, for free._ - [Exercism](http://exercism.io/) - Level up your programming skills by solving problems in over 30 languages. - [Google Codelabs](https://codelabs.developers.google.com/) - Step by step coding guides from Google. - [List.community](https://list.community/) - _List.community is an easy way to browse curated lists on GitHub._ - [Public APIs](https://github.com/toddmotto/public-apis) - _A collective list of public JSON APIs for use in web development._ - [Best websites a programmer should visit](https://github.com/sdmg15/Best-websites-a-programmer-should-visit) - _Some useful websites for programmers._ - [Rico’s Cheatsheets](https://devhints.io/) - A bunch of beautiful cheatsheets. - [Learn X in Y Minutes](https://learnxinyminutes.com/) - Learn most of a language’s syntax in one program. - [Hackr](https://hackr.io/) - _Find the Best programming Courses & Tutorials._ - [Daily Programmer on Reddit](https://www.reddit.com/r/dailyprogrammer/) - Great daily programmer challenges on Reddit. - [Design Patterns for Humans](https://github.com/kamranahmedse/design-patterns-for-humans/blob/master/README.md) - Learn design patterns without the blood, sweat, and tears. - [Mega Project List](https://github.com/karan/Projects) - _A list of practical projects that anyone can solve in any programming language._ - [Every Programmer Should Know](https://github.com/mtdvio/every-programmer-should-know) - _A collection of (mostly) technical things every software developer should know._ - [Codemy](https://www.codemy.net/) - _Our goal is to provide quality, free and / or highly accessible content that anyone can use to build or grow their skills._ - [Essential Image Optimization](https://images.guide/) - A modern guide to image optimization. - [Back-End Developmer Interview Questions](https://github.com/arialdomartini/Back-End-Developer-Interview-Questions) - _A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore._ - [Awesome Cheatsheets](https://github.com/LeCoupa/awesome-cheatsheets) - _Awesome cheatsheets for popular programming languages, frameworks and development tools._ - [iOS Developer Roadmap](https://github.com/BohdanOrlov/iOS-Developer-Roadmap) - _Roadmap to becoming an iOS developer in 2018._ - [Exercises in Programming Style](https://github.com/crista/exercises-in-programming-style) - _Comprehensive collection of programming styles using a simple computational task, term frequency._ - [Kubernetes Challenges](https://github.com/DennyZhang/challenges-kubernetes) - Challenge your Kubernetes prowess. - [The Bash Guide](http://guide.bash.academy/) - _A quality-driven guide through the shell’s many features._ - [Build your own X](https://github.com/danistefanovic/build-your-own-x) - Build your own language, server, database, etc. in order to understand them. - [JavaScript Algorithms](https://mgechev.github.io/javascript-algorithms/) - Implementation of famous CS data structures and algorithms in JavaScript. - [Play With Kubernetes Classroom](https://training.play-with-kubernetes.com/) - _The Play with Kubernetes classroom is a new site provided by Docker that helps you get hands-on experience using Kubernetes._ - [Interview Map](https://github.com/KieSun/InterviewMap) - A comprehensive mind map that _can help you make a better preparation for the next interview_. - [System Design Primer](https://github.com/donnemartin/system-design-primer) - _Learn how to design large-scale systems. Prep for the system design interview._ ## Languages - [Gopher Reading List](https://github.com/enocom/gopher-reading-list) - _A curated selection of blog posts on Go._ - [Go Performance Book](https://github.com/dgryski/go-perfbook) - _Thoughts on Go performance optimization._ - [30 Seconds of Python Code](https://github.com/kriadmin/30-seconds-of-python-code) - _Python implementation of 30-seconds-of-code._ - [30 Seconds of Java](https://github.com/shekhargulati/30-seconds-of-java) - _Curated collection of useful little Java functions that you can understand quickly._ - [Comprehensive Python Cheatsheet](https://gto76.github.io/python-cheatsheet/) - A pretty comprehensive Python usage cheatsheet without all the noise. - [Data Structures and Algorithms in Go](https://github.com/floyernick/Data-Structures-and-Algorithms) - Exactly what it says. - [Go Styleguide](https://github.com/bahlo/go-styleguide) - _Opinionated Styleguide for the Go language_. - [Go 101](https://go101.org/article/101.html) - Learn Go. - [Gophercises](https://gophercises.com/) - _Coding exercises for budding Gophers_. - [Just for Func](https://www.youtube.com/justforfunc) - A YouTube channel dedicated to Go programming. - [Try Haskell](https://www.haskellmooc.co.uk/) - Learn Haskell interactively in 5 minutes. - [Project-based Learning](https://github.com/tuvtran/project-based-learning) - Learn languages by building projects. - [Clojure-script.org](http://clojure-script.org/) - An unofficial guide to ClojureScript. - [Project-based Learning in C](https://github.com/rby90/Project-Based-Tutorials-in-C) - Learn C by building projects. ## Design - [UI Patterns](http://ui-patterns.com/) - Great collection of UI design patterns and when to use them. - [Good User Interface](http://www.goodui.org/) - What makes a good user interface? - [CSS Grid](https://cssgrid.io/) - _Learn CSS Grid with Wes Bos in 25 pretty good videos._ ## Game Development - [Game Programming Patterns](http://gameprogrammingpatterns.com/) - A collection of game programming patterns. - [Amit’s Game Programming Info](http://www-cs-students.stanford.edu/~amitp/gameprog.html) - Game Programming Gems. ## Security - [SecurityTube](http://www.securitytube.net/) - YouTube for Computer Security Videos - [Infosec\_Reference](https://github.com/rmusser01/Infosec_Reference) - _An Information Security Reference That Doesn’t Suck._ - [Hacker 101](https://www.hacker101.com/) - _Hacker101 is a free class for web security._ - [Awesome Hacking](https://github.com/Hack-with-Github/Awesome-Hacking) - _A collection of various awesome lists for hackers, pentesters and security researchers._ ## Cryptocurrency - [Cryptominded](https://cryptominded.com/) - _A curated directory of the best cryptocurrency resources._ - [CryptoList](https://github.com/coinpride/CryptoList) - _Curated collection of blockchain & cryptocurrency resources._ - [Learn Blockchain in 2 months](https://github.com/llSourcell/Learn_Blockchain_in_2_months) - Learn Blockchain in 2 months. ## Business - [Buffer’s Social Media Academy](https://buffer.academy/) - _Up your social media marketing game, one article at a time._ - [Marketing for Engineers](https://github.com/LisaDziuba/Marketing-for-Engineers) - _A curated collection of marketing articles & tools to grow your product._ - [Google Primer](https://www.yourprimer.com/) - _Bite-sized lessons to better your business._ ## Others - [Grow with Google](https://grow.google/) - _Free training, tools, and events to help you grow your skills, career, or business._ - [Classroomies](https://www.classroomies.com/) - _Watch & discuss pre-recorded Startup & CS lectures from Stanford together, in real-time._ - [Where is Sci-Hub?](https://whereisscihub.herokuapp.com/) - Tells you where Sci-Hub is hosted right now. - [Learrrn](https://www.learrrn.co/?ref=producthunt) - A curated list of hand-picked learning resources. - [Explorable Explanations](http://explorabl.es/) - A collection of interactive learning resources. - [Athena](https://www.athena.cool/) - _Athena is a community-curated repository of 🔥 learning resources._ - [Learn Anything](https://learn-anything.xyz/) - _the platform for knowledge discovery that helps you understand any topic through the most efficient paths, as voted by the community._ - [Pretty Awesome Lists](https://www.prettyawesomelists.com/) - A pretty collection of awesome lists. - [Courseroot](https://courseroot.com/) - _The biggest database of online courses for you to filter through based on price, difficulty, certificate quality, and more._ - [YouTube Creator Academy](https://creatoracademy.youtube.com/) - Learn how to be a great YouTube content creator. - [Product Hunt Curated Resources](https://www.producthunt.com/search?q=curated%20resource) - Curated resource lists showcased in Product Hunt. - [Wisdom Curated](http://wisdomcurated.com/) - A curated list of learning resources about life. - [Boundless](https://courses.lumenlearning.com/catalog/boundlesscourses) - Free legit textbooks. - [Warren](https://github.com/torchhound/warren) - A curated list of rabbitholes. - [Ivy League MOOCs](https://www.class-central.com/collection/ivy-league-moocs) - A collection of free courses from Ivy League Universities. - [Bookicious Collections](https://www.bookicious.com/collections/) - Book recommendations of famous tech giant founders and CEOs. - [Bookcelerator](https://bookcelerator.com/) - Top books that will make you smarter. - [LightNote](https://www.lightnote.co/) - Interactive music theory lessons. - [Wikibooks by Subject](https://en.wikibooks.org/wiki/Subject:Books_by_subject) - Free books on different subjects. - [150+ Educational Websites form Lifelong Learners](https://medium.com/@imaginetta/150-educational-websites-for-lifelong-learners-71c1d8e94843) - A list of learning websites. - [Physics Travel Guide](https://physicstravelguide.com/) - _The Physics Travel Guide is a tool that makes learning physics easier._ - [Awesome Checklist Checklist](https://github.com/huyingjie/Checklist-Checklist) - _A Curated List of Checklists._ - [Mind Expanding Books](https://github.com/hackerkid/Mind-Expanding-Books) - _Books that will blow your mind._ `Source: Onehack.Us / Credit to John Paul Ada` ## **ENJOY & HAPPY LEARNING!** ❤ Appreciate the share & feedback! don’t be cheap! ![](https://i.ibb.co/rwpPJZy/Leechers.gif) ---
**Author:** ![sfhussain8](https://onehack.st/letter_avatar_proxy/v4/letter/s/48db29/32.png) [@sfhussain8](https://onehack.st/u/sfhussain8)\ **Post date:** [March 31, 2024, 7:33am UTC](https://onehack.st/t/awesome-learning-collections-massive-collection-varios-topics/280196/5 "2024-03-31T07:33:12Z")
Worth every moment spent 🙂 Thank you ---
**Author:** ![yoobee](https://onehack.st/letter_avatar_proxy/v4/letter/y/9fc348/32.png) [@yoobee](https://onehack.st/u/yoobee)\ **Post date:** [April 1, 2024, 7:23pm UTC](https://onehack.st/t/awesome-learning-collections-massive-collection-varios-topics/280196/6 "2024-04-01T19:23:34Z")
Thanks for the great share