This is the record of the courses and projects I have completed during my open-source education on data analytics. The resources I’ve used include Massive Open Online Courses (MOOCs) on Coursera, edX, and some of the best universities. Of course, there are few substitutes for what you can learn from practice so I’ve applied the eduction to a few projects and competitions. This is how I live my goal of lifelong learning and continuous improvement.
The more I learn, the more I want to learn!
This specialization track covers the concepts and tools needed throughout the entire data science pipeline, including: programming concepts, data munging, data visualization, publishing analysis, statisics, and The specialization had 9 courses and culminates with a capstone project with Swiftkey