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d3-challenge

Use HTML, Javascript, and D3.js to analyze health risks facing particular demographics based on information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

interactive_visualizations_dashboards

Utilized JavaScript and HTML to create an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels. Site deployed through github.io.

javascript_challenge

Use pure JavaScript, HTML, CSS, and D3.js to create a dynamic table online that allows users to filter for specific values from provided UFO sightings data.

matplotlib_challenge

The power of plots: Pymaceuticals data

newsaggregator

pandas-challenge

Heroes of Pymoli data challenge

public_health_website

Designing a custom website for a public health consulting firm intended to promote visibility and develop an online presence.

python_api_challenge

A closer look of weather conditions in 500+ cities across the world are evaluated relative to their distance from the equator. Citipy API and Python is used to collect and evaluate the data. Project fulfilled for Georgia Tech Data Science and Analytics certificate.

python_challenge

Use python and python libraries/packages to analyze election data.

sql_alchemy_challenge

Congratulations! You've decided to treat yourself to a long holiday vacation in Honolulu, Hawaii! To help with your trip planning, you need to do some climate analysis on the area. The following outlines what you need to do. To begin, use Python and SQLAlchemy to do basic climate analysis and data exploration of your climate database. All of the following analysis should be completed using SQLAlchemy ORM queries, Pandas, and Matplotlib. After initial analysis, design a Flask API based on the queries that you have just developed.

sql_challenge

It is a beautiful spring day, and it is two weeks since you have been hired as a new data engineer at Pewlett Hackard. Your first major task is a research project on employees of the corporation from the 1980s and 1990s. All that remain of the database of employees from that period are six CSV files. In this assignment, you will design the tables to hold data in the CSVs, import the CSVs into a SQL database, and answer questions about the data. You will perform: 1. Data Engineering 3. Data Analysis

vba-challenge

Multi-year stock market analysis VBA script and images.

web_design_challenge

Used HTML and CSS to create a weather dashboard for analyzing the relationship between latitude versus humidity, wind speed, cloudiness, and max temperature.

web_scraping_challenge

Mission to Mars app designed to scrape Mars data from various websites. App deployed through Flask web server and web scrape feature of Mars Missions completed with Selenium.