https://github.com/almayor/mooc-certificates
My CV and various MOOC certificates
https://github.com/almayor/mooc-certificates
mooc my-resume
Last synced: 2 months ago
JSON representation
My CV and various MOOC certificates
- Host: GitHub
- URL: https://github.com/almayor/mooc-certificates
- Owner: almayor
- Created: 2020-10-21T14:07:20.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-08-08T21:39:53.000Z (almost 2 years ago)
- Last Synced: 2025-01-30T05:26:43.310Z (4 months ago)
- Topics: mooc, my-resume
- Homepage:
- Size: 4.9 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## CS and Maths
* [AlgoExpert](http://algoexpert.io) @ *algoexpert.io* ([certificate](https://certificate.algoexpert.io/AE-5b045ca343), solved 100+ algorithmic problems)
* [Number Theory and Cryptography](https://www.coursera.org/learn/number-theory-cryptography) @ *University of California San Diego* ([certificate](https://coursera.org/share/a86042e08154f475b017e052d555456f))
* [Graph Theory](https://www.coursera.org/learn/teoriya-grafov) @ *Moscow Institute of Physics and Technology* ([certificate](https://coursera.org/share/5072653f561b196820329327da1e3ece))
* [Game Theory](https://www.coursera.org/learn/game-theory-1) @ *Stanford & The University of British Columbia* ([certificate](https://coursera.org/share/e7c0c8ce0a4e01f261c35d8a213bcf42))
* [Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) @ *Princeton* (89.40% grade, no cert. offered)
* [Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) @ *Princeton* (96.40% grade, no cert. offered)
* [Paradox and Infinity](https://www.edx.org/course/paradox-and-infinity) @ *MITx* (audited)
* [Introduction to Logic](https://www.coursera.org/learn/logic-introduction) @ *Stanford* ([certificate](https://coursera.org/verify/3WZQ6MA7NNNA))
* [Transfer Functions and the Laplace Transform](https://www.edx.org/course/transfer-functions-and-the-laplace-transform) @ *MITx* ([certificate](https://courses.edx.org/certificates/4cd62320622c4eafa2fe2628ee062146?_gl=1*1x8bpm9*_ga*MTA3MDQ4NDQ4MS4xNjgxNzI4OTM1*_ga_D3KS4KMDT0*MTY4Mzk4MTQ4NC45NC4xLjE2ODM5ODY3MjcuMC4wLjA.))
## Machine Learning and Data Science
* [Machine Learning](https://www.coursera.org/learn/machine-learning) @ *Stanford* ([certificate](https://coursera.org/share/f86d3eb0588e2c8d0e748c27b55cbb11))
* [Neural Networks and Deep Learning](https://www.coursera.org/learn/neural-networks-deep-learning) @ *deeplearning.ai* ([certificate](https://coursera.org/share/42f41b12427cb2c18dcb2eb988504c16))
* [Improving Deep Neural Networks](https://www.coursera.org/learn/deep-neural-network) @ *deeplearning.ai* ([certificate](https://coursera.org/share/9ef5b3f5bcc21e6f27a2b66f007077d6))
* [Structuring Machine Learning Projects](https://www.coursera.org/learn/machine-learning-projects) @ *deeplearning.ai* ([certificate](https://coursera.org/share/d9aee15d608158c00ab234e189589df2))
* [Sequence Models](https://www.coursera.org/learn/nlp-sequence-models) @ *deeplearning.ai* ([certificate](https://coursera.org/share/2d37b80f03f13ad73ce8b4a588a7c2c3))
* [Customizing your models with Tensorflow 2](https://www.coursera.org/learn/customising-models-tensorflow2) @ *Imperial College* ([certificate](https://coursera.org/share/b8c8e2f74117f888e15a6f9345caee0f))
* [Probabilistic Deep Learning with TensorFlow 2](https://www.coursera.org/learn/probabilistic-deep-learning-with-tensorflow2/home/info) @ *Imperial College* ([certificate](https://coursera.org/share/e94ca2ac0b64ed8be552421a24250a2e))
* [Practical Reinforcement Learning](https://www.coursera.org/learn/practical-rl/home/welcome) @ *HSE University* ([certificate](https://coursera.org/share/ec9bc53f0cb0054b45da122503903ed8))
* [Probabilistic Graphical Models 1: Representation](https://www.coursera.org/learn/probabilistic-graphical-models) @ *Stanford* ([certificate](https://coursera.org/share/92e125b412f1cd7e6f17f6dabe0efe48))
* [Probabilistic Graphical Models 2: Inference](https://www.coursera.org/learn/probabilistic-graphical-models-2-inference) @ *Stanford* ([certificate](https://coursera.org/share/6fc6af37eb7b4814b92f7a5026780e58))
## Development
* [AWS Fundamentals: Going Cloud-Native](https://www.coursera.org/learn/aws-fundamentals-going-cloud-native) @ *Amazon Web Services* ([certificate](https://coursera.org/share/a31104fa55512a2521e808f7ae044db0))
* [The Creative HTML5 & CSS3 Course](https://developedbyed.com/p/the-creative-html5-css3-course) @ *developedbyed.com* (no cert. offered)
* [The Creative Javascript Course](https://developedbyed.com/p/the-creative-javascript-course) @ *developedbyed.com* (no cert. offered)
## Natural and Physical Sciences
* Programmed Cell Death @ *LMU* ([certificate](certificates/Coursera_PCD_certificate_2013.pdf))
* Drugs and the Brain @ *Caltech* ([certificate](certificates/Coursera_Drugs_and_Brain_certificate_2014.pdf))
* [Density Functional Theory](https://www.coursera.org/learn/density-functional-theory) @ *École Polytechnique* ([certificate](https://coursera.org/verify/3LCBAXEQXMGJ))
* [Statistical Mechanics: Algorithms and Computations](https://www.coursera.org/learn/statistical-mechanics) @ *École normale supérieure* (95.25% grade, no cert. offered)
* [Semiconductor Physics](https://www.coursera.org/learn/semiconductor-physics) @ *University of Colorado Boulder* ([certificate](https://www.coursera.org/account/accomplishments/certificate/9H64J3AFFSMA))
## Miscellaneous
* [Introduction to Classical Music](https://www.coursera.org/learn/introclassicalmusic) @ *Yale* ([certificate](https://coursera.org/share/3a5cc394ca7b6170cd06d808e0860539))
* [Большой транзит (Political History of Russia in the 1990s)](https://openuni.io/course/2/) @ *Открытый университет* ([certificate](certificates/OpenUniCertificate.pdf))
* [Курс портфельного инвестора I (Investing Fundamentals I)](https://fin-ra.ru) @ *fin-ra.ru* ([certificate](certificates/investing-1-step.pdf))
* [Курс портфельного инвестора II (Investing Fundamentals II)](https://fin-ra.ru) @ *fin-ra.ru* ([certificate](certificates/investing-2-step.pdf))
* [The History of Modern Israel – Part I](https://www.coursera.org/learn/history-israel) @ *Tel Aviv University* (audited)
* [Art of Soft Skills: гибкие навыки для жизни и учебы](https://stepik.org/course/95702/) @ *Русская Школа Программирования* ([certificate](https://stepik.org/cert/1022075))
## Assessments and Tests
* [workera.ai](workera.ai) @ *deeplearning.ai* ([certificate](https://app.workera.ai/public/candidate/certificate?code=K8C52BJ7))
* Mathematics – 95% percentile
* Algorithmic Coding – 86% percentile
* Software Engineering – 91% percentile
* Deep Learning – 96% percentile
* Data Science – 92% percentile
* Machine Learning – 87% percentile
* Overall score: 72
## CV
* [My CV](CV.pdf)