This project analyzes Yelp data to support business decision-making for a fictional coffee company. I used SQL in Google BigQuery to explore, clean, and analyze the data, identifying patterns and insights relevant to the business. I then used Google Data Studio to create visualizations and communicate the findings clearly.
This project was completed as part of the SQL Basics for Data Science Specialization offered by the University of California, Davis through Coursera.
For this case study, I cleaned, analyzed, and interpreted smart device usage data to identify behavioral trends and develop a data-driven marketing strategy for a fictional wellness company. The project focused on transforming raw data into actionable insights that could support customer engagement and marketing decisions.
This case study was completed as part of the Google Data Analytics Professional Certificate program.
For this case study, I cleaned, analyzed, and interpreted bike-share trip data to identify usage patterns and develop a data-driven marketing strategy for Cyclistic, a fictional bike-share company. The analysis focused on understanding differences in rider behavior and translating those findings into actionable marketing recommendations.
This case study was completed as part of the Google Data Analytics Professional Certificate program.