This repository is used to showcase my Udacity Data Analyst Nanodegree. The six projects are described below. Further content and data can be reviewed in the project folders.
A pure python Exploratory Analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States. Comparing the system usage for three large cities: New York City, Chicago, and Washington, DC.
For this Project I was able to review, analyse and understand the results of an A/B test run by an e-commerce website.
Computed descriptive statistics and perform a statistical hypothesis test on a dataset based on a psychological phenomenon, the Stroop Effect
Used R and apply exploratory data analysis techniques to discover what parameters affect or not wine quality ratings.
Gathered data from a variety of sources and in a variety of formats, assess its quality and tidiness, clean it for analyses of the WeRateDogs #tag.
Used Tableau to create an explanatory data visualization that communicates a clear finding on the borrowers form the peer-to-peer prosper loans platform. Project can be viewed here