Projects submitted as part of Udacity's Data Analyst Nanodegree (graduated February 2021)
This repository contains my project outputs from Udacity’s Data Analyst Nanodegree (enrolled 10/2020-02/2021)
Analyze local and global temperature data and compare the temperature trends where you live to overall global temperature trends. Submit as a PDF report.
Analyze a dataset and then communicate your findings about it. Note: I conducted my analysis on the European Soccer Database from Kaggle
Apply probability and statistical techniques to understand and interpret the results of an A/B test run by an e-commerce website. Your goal is to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.
Gather data from a variety of sources and in a variety of formats, assess them for quality and tidiness, then clean them. Showcase your wrangling efforts through analyses and visualizations.
Choose a dataset, either your own or a Udacity-curated dataset, and perform an exploratory data analysis using Python. Then create a presentation with explanatory plots that communicates you findings. I did my analysis on my personal fitness data downloaded from Strava.
