David Wetherhold's Projects
Data analysis project using PySpark to perform the ETL process to extract data, transform it, connect it to AWS RDS, and load it into pgAdmin. Lastly, performed an analysis via PySpark, Pandas, & SQL to determine biases on reviews.
Plotly and Belly Button Biodiversity: Build an interactive dashboard using Plotly.js to explore data on the biodiversity of belly buttons. Then deploy your dashboard to a cloud server.
This project is an analysis of New York Citi Bike data, using data visualization tools to explore the viability of a bike-sharing business in Des Moines.
Build and evaluate several machine learning algorithms to predict credit risk.
Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.
Module 3: Polling in Python
Module 1: Kickstarting with Excel
Create interactive maps using Leaflet.js, GeoJSON , Javascript and D3 library to explore earthquakes around the world.
R programming language, statistics and hypothesis testing to analyze a series of datasets from the automotive industry.
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display your findings
Created a data pipeline from movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL. Implemented (ETL) - Extract, Transform, Load - to complete
Module 7: Prove your SQL Chops
Analyze and visualize ride-sharing data using the power of Python, Pandas, and Matplotlib
Using Python and the Pandas library to analyze school district data and showcase trends in school performance.
Module 2: VBA of Wall Street
Climate Analysis X Data Exploration - using Python (Pandas, Matplotlib), SQLAlchemy (ORM Queries) and Flask
This project uses unsupervised machine learning to identify correlations between daily inoculation rates in the USA and twitter sentiment in regards to COVID-19.
Using JavaScript, HTML, and CSS to create a custom webpage that showcases different UFO sightings around the world.
Using APIs to Visualize Weather Data