This was a project for the Getting and Cleaning Data course in Coursera’s Data Science specialization track. The purpose of the project was to practice cleaning and merging multiple datasets into a single tidy data set.

This was the first project for the Reproducible Research course in Coursera’s Data Science specialization track. The purpose of the project was to answer a series of questions using data collected from a FitBit.

This was the first project for the Exploratory Data Analysis course in Coursera’s Data Science specialization track. The objective was to practice creating plots by reproducing a series of four plots, and also to practice using github by forking and cloning an existing repository.

This was a project for the Exploratory Data Analysis course in Coursera’s Data Science specialization track. The objective was to practice reshaping and plotting data as well as how to make decisions how to interpret and present data.

This was the second project for the Reproducible Research course in Coursera’s Data Science specialization track. The purpose of the project was to determine which storm event(s) had the most significant economic and health effects.