This repo contains my submissions for the ALX-T Data Analysis Nanodegree Program
Investigate a Dataset was the first project in this course, where I had to analyse the Kaggle's noshowappointment dataset to understand what factors influenced if patients would show up for apointments they made, or not.
In this project I was expected to scrape data from the WeRateDogs account on Twitter using a developer API, and then analyse the data extracted to understand what factors were influencing the ratings for different dog pictures.
My capstone project for this course was the analysis of the San Fransisco Ford GoBike dataset, a ride-sharing service, in order to understand what factors influenced the duration of trips made.