My Learning Path

1. Data Science Foundations (Learning Path)

   • Data Science

   • Data Science Tools

   • Data Science Methodologies

2. Applied Data Science with Python (Learning Path)

   • Python for Data Science

   • Data Analysis with Python

   • Data Visualization with Python

3. Machine Learning with Python 

4. Deep Learning (Learning Path)

   • Deep Learning Fundamentals

   • Accelerating Deep Learning with GPUs 

   • Deep Learning with TensorFlow

5. Big Data Foundations - Level 2 (Learning Path)

   • Big Data - Level 1

   • Hadoop Foundations - Level 1

   • Spark Fundamentals - I

1. Python 

2. Pandas

3. Intro to SQL (using Google BigQuery)

4. Advanced SQL

5. Intro to Machine Learning

MongoDB for Developers

1. Introduction to Linux - Linux Foundation

2. Introduction to Java Programming (BlueJ IDE) - Hong Kong University of Science and Technology

3. Introduction to Mobile Application Development (Android Studio) - Hong Kong University of Science and Technology

4. Introduction to Computing and Programming using Python - Massachusetts Institute of Technology

5. Big Data and Social Physics - Massachusetts Institute of Technology

6. Introduction to R Programming - Microsoft

7. Programming with C#  (Visual Studio 2013) - Microsoft

8. Querying with Transact-SQL (SQL Server 2012) - Microsoft

9. Introduction to Bootstrap - Microsoft

10. Introduction to Typescript - Microsoft

11. Introduction to Windows PowerShell - Microsoft

12. AngularJS: Framework Fundamentals - Microsoft

13. HTML5 - W3C

14.  Knowledge Management and Big Data in Business - Hong Kong Polytechnic University

15. Introduction to Data Storage and Management Technologies - IEEE Organization

1. Introduction to Programming with MATLAB - Vanderbilt University

2. Machine Learning (Octave Tool) - Stanford University

3. Bioinformatics: Life Sciences on Your Computer - Johns Hopkins University

4. Web Application Architectures (Ruby on Rails) - University of New Mexico

5. Creative Programming for Digital Media & Mobile Apps (Processing IDE) - University of  London

6. From GPS and Google Maps to Spatial Computing (TileMill Tool & Wikibrain) - University of Minnesota

7. Automata - Stanford University

8. Mining of Massive Datasets - Stanford University

9. Networked Life - University of Pennsylvania

Functional Programming in Erlang - University of Kent

Semantic Web and Linked Data - Polytechnic University of Madrid

1. Data Analytics: Mining and Analysis of Big Data - NPTEL, IIT Madras

2. Business Intelligence and Knowledge Management Systems - Global Text Project

3. Fundamentals of Human-Computer Information Retrieval - University of North Carolina

1. Swift for Beginners - Jarrod Parkes 

2. Intro to Hadoop and MapReduce - Cloudera