These are guided projects that I have worked on through the DataQuest platform. I have earned both the Data Analyst and the Data Scientist certificates offered on the platform.
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Predicting Car Prices: Train and test K-Nearest Neighbors models on a data set of car features to predict price.
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Analyzing CIA Factbook Data Using SQLite and Python: Use python to query an SQLite database containing data from the CIA World Factbook.
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Answering Business Questions Using SQL: Write complex queries to explore the Chinook Database, create visualizations based on the queries, and gain insight into the ficticious music store.
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Designing and Creating a Database: Using data on major league baseball from Retrosheet create a manageable, normalized SQL database of all games from 1871-2016.
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Investigating Fandango Movie Ratings: Utilize the concepts of sampling, variables, scales of measurement, and frequency distributions to analyze movie ratings on the Fandango website.
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Finding the Best Markets to Advertise In: Using summary statistics and outliers to explore a survey of new coders and identify markets for a fictitious coding education website to advertise in.
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[Explore U.S. Births]
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Creating the SimpleFrame Class: Utilize object-oriented programming in python to answer basic questions about a data set of songs streamed on Spotify in 2017.
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Exploring Ebay Car Sales Data: Cleaning and doing basic analysis on data from the German eBay website.
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