Some training projects performed on the Datacamp platform using Python and SQL
https://github.com/dgizdevans/datacamp/tree/main/ads-keywords
Automatically generate keywords for a search engine marketing campaign using Python.
https://github.com/dgizdevans/datacamp/tree/main/abtest
Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.
https://github.com/dgizdevans/datacamp/tree/main/nps
Use coding best practices and functions to improve a script!
https://github.com/dgizdevans/datacamp/tree/main/got
Analyze the network of characters in Game of Thrones and how it changes over the course of the books. This project uses a dataset parsed by Andrew J. Beveridge and Jie Shan.
https://github.com/dgizdevans/datacamp/tree/main/android-app
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market. The data for this project was scraped from the Google Play website.
https://github.com/dgizdevans/datacamp/tree/main/nobel
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed? The dataset used in this project is from The Nobel Foundation on Kaggle.
https://github.com/dgizdevans/datacamp/tree/main/bitmarket
You will explore the market capitalization of Bitcoin and other cryptocurrencies. Warning: The cryptocurrency market is exceptionally volatile, and any money you put in might disappear into thin air. Never invest money you can't afford to lose.
https://github.com/dgizdevans/datacamp/tree/main/karda
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
https://github.com/dgizdevans/datacamp/blob/main/marketing-database/notebook.ipynb
Cleaning, storing data with Python and pulling daya to SQL
https://github.com/dgizdevans/datacamp/tree/main/sql-debt
The data used in this project is provided by The World Bank. It contains both national and regional debt statistics for several countries across the globe as recorded from 1970 to 2015.
https://github.com/dgizdevans/datacamp/tree/main/sql-nyc-schools
Use summary statistics and filters to analyze test scores across New York City's public schools!
https://github.com/dgizdevans/datacamp/tree/main/sql-optimize
Use joining techniques to discover the oldest businesses in the world.
https://github.com/dgizdevans/datacamp/tree/main/sql-optimize
Sports clothing is a booming sector! In this notebook, I used my SQL skills to analyze product data for an online sports retail company.
https://github.com/dgizdevans/datacamp/tree/main/sql-videogames
Use joins and set theory to discover the best years for video games!