Coursera Data Science Specialization Capstone Project

This milestone report performs an exploratory data analysis as well as modeling and app concept on the SwiftKey Capstone Project as a part of the Coursera’s Data Science Specialization. Using the Coursera SwiftKey data, we analyze uni-, bi- and tri-gram counts and line counts then plot histograms and wordclouds based on the data. It then gives a prelimanry concept on how these data could be used to build a recommender system.

Pitch deck for the Bollinger Backtest app

This report answers the questions of which types of weather phenomena are most harmful to population health and which have the largest economic impact. It utilizes the [NOAA Storm Database](https://www.ncdc.noaa.gov/stormevents/) to visualize such events. During the period from January 1950 to November 2008, tornadoes by far have caused the most injuries and deaths; flood has caused the highest amount of property damages and economic consequences overall while drought has caused the higest amount of crop damages.