Year | Course Title | Organizer | Host | Score | Status |
---|---|---|---|---|---|
2014 | Introduction to Computer Science | Harvard University | edX | 100% | Completed |
2014 | Introduction to Computer Science and Programming Using Python | Massachusetts Institute of Technology | edX | 94% | Completed |
2015 | Programming with C# | Microsoft | edX | 90% | Completed |
2015 | Introduction to Programming with Java - Part 1: Starting to Program in Java | Universidad Carlos III de Madrid | edX | 72% | Completed |
2015 | Think. Create. Code | The University of Adelaide | edX | 54% | Completed |
2015 | Autonomous Navigation for Flying Robots | Technische Universität München | edX | 60% | Completed |
2015 | Learn HTML5 from W3C | W3 Schools | edX | 73% | Completed |
2015 | Introduction to Cloud Computing | IEEE | edX | 100% | Completed |
2015 | Computer Graphics | University of California San Diego | edX | 65% | Completed |
2016 | Machine Learning | Stanford University | Coursera | -- | Ongoing |
2016 | Software Construction in Java | Massachusetts Institute of Technology | edX | --- | Starts on September 26, 2016 |
2016 | Programming with R for Data Science | Microsoft | edX | --- | Ongoing |
2016 | Leadership for Engineers | Delft University of Technology | edX | --- | Ongoing |
2016 | Agile Software Development | ETH Zurich | edX | --- | Ongoing |
2016 | Data Analytics for Life Sciences | Harvard University | edX | --- | Self-Paced |
2016 | The Fourier Transform and its Applications | Stanford University | Stanford Engineering Everywhere | --- | Self-paced |
2016 | Big Data Fundamentals | Big Data University | Big Data University | --- | Self-paced |
2016 | Deep learning | Stanford University | UFLDL Tutorial | --- | Self-paced |
2016 | Convolutional Neural Network for Visual Recognition | Stanford University | Stanford University | --- | Self-paced |
2016 | Neural Networks for Machine Learning | University of Toronto | Coursera | --- | Starts on September 2016 |
2016 | Machine Learning Foundations: A Case Study Approach | University of Washington | Coursera | --- | Ongoing |
2016 | Programming with Python For Data Science | Microsoft | edX | --- | Ongoing |
2016 | Introduction to Python For Data Science | Microsoft | edX | --- | Starting Soon |
2016 | Learning From Data | Caltech | edX | --- | Ongoing |
2016 | Frontiers and Controversies in Astrophysics | Yale University | Open Yale Courses | --- | Self Paced |
2016 | Frontiers of Biomedical Engineering | Yale University | Open Yale Courses | --- | Self Paced |
2016 | Financial Markets | Yale University | Open Yale Courses | --- | Self Paced |
2016 | Game Theory | Yale University | Open Yale Courses | --- | Self Paced |
2016 | Financial Theory | Yale University | Open Yale Courses | --- | Self Paced |
2016 | Computational Probability and Inference | MITx | edX | --- | Ongoing |
2016 | AMRx Autonomous Mobile Robots | ETHx | edX | --- | Self Paced |
2016 | Introduction to jQuery | Microsoft | edX | --- | Self Paced |
2016 | Introduction to R for Data Science | Microsoft | edX | --- | Self Paced |
2016 | Introduction to Windows PowerShell | Microsoft | edX | --- | Self Paced |
2016 | Data Science Professional Project | Microsoft | edX | --- | Self Paced |
2016 | Principles of Machine Learning | Microsoft | edX | --- | Self Paced |
2016 | Signals and Systems, Part 1 | IIT Bombay | edX | --- | Self Paced |
2016 | Signals and Systems, Part 2 | IIT Bombay | edX | --- | Self Paced |
2016 | Object-Oriented Programming | IIT Bombay | edX | --- | Self Paced |
2016 | AP® Physics 1: Challenging Concepts | Davidson next | edX | --- | Self Paced |
2016 | AP® Physics 2: Challenging Concepts | Davidson next | edX | --- | Self Paced |
2016 | Plasma Physics: Application | EPFL | edX | --- | Self Paced |
2016 | Microeconomics | MITx | edX | --- | Starts on Sep 19, 2016 |
2016 | Quantum Information Science II | MITx | edX | --- | Starts on Sep 26, 2016 |
2016 | Nature, in Code: Biology in JavaScript | EPFL | edX | --- | Self Paced |
2016 | Introduction to Solid State Chemistry | MITx | edX | --- | Ongoing |
2016 | Research Methods: An Engineering Approach | University of the Witwatersrand | edX | --- | Ongoing |
2016 | Video Game Design | XSeries | edX | --- | --- |
2016 | Agile Development Using Ruby on Rails | UC Berkeley | edX | --- | Self Paced |
2016 | Data Science and Analytics in Context | Columbia University | edX | --- | Self Paced |
2016 | Smart Grids: Electricity for the Future | IEEE | edX | --- | Self Paced |
2016 | How to win coding competitions: secrets of champions | ITMOx - I2CPx | edX | --- | Starts on Oct 17 |
2016 | Deep Learning | Udacity | --- | Self Paced | |
2016 | Intro to Statistics | --- | Udacity | --- | Self Paced |
2016 | Machine Learning | Georgia Tech | Udacity | --- | Self Paced |
2016 | Machine Learning : Unsupervised Learning | Georgia Tech | Udacity | --- | Self Paced |