MOOC: (/mōōk/): massive open online course; is an online course aimed at unlimited participation and open access via the web.

This is the record of the courses I have completed during my open-source education on data analytics. The resources I’ve used include Massive Open Online Courses (MOOCs) on Coursera and edX from some of the best universities. Of course, there are few substitutes for what you can learn from practice so I’ve applied the education to a few projects and competitions. This is how I live my goal of lifelong learning and continuous improvement.

Data Science Specialization

Coursera and John Hopkins University
This specialization track covers the concepts and tools needed throughout the entire data science pipeline including: programming concepts, data munging, data visualization, publishing the analysis, statistics, and usable data products. The specialization had 9 courses and culminates with a capstone project with Swiftkey. The primary tools used are R, GitHub, and RPubs.

Data Analytics

Data Mining and Computing

Math and Statistics