My Most Resent Resume

Bellabeat Smart Device Usage Analysis Project Overview: This project is a capstone case study for the Google Data Analytics course, focused on analyzing how non-Bellabeat consumers use their smart fitness devices. The objective was to derive insights from the data to inform Bellabeat’s marketing strategy. The analysis followed the six steps of the data analysis process: Ask, Prepare, Process, Analyze, Share, and Act. Tools Used: Data Processing & Visualization: R, R Studio Libraries: tidyverse, lubridate, ggplot2, janitor, skimr, and more. Key Tasks: Data Preparation: Utilized the FitBit Fitness Tracker dataset from Kaggle. The data was cleaned, organized, and verified to ensure accuracy and relevance. Data Analysis: Explored trends in smart device usage, such as activity levels, sleep patterns, and calorie burn, to generate insights that could be leveraged by Bellabeat to enhance their product offerings and marketing approach. Visualization: Created visual representations of the data using R, focusing on trends in activity and sleep patterns. Outcome: The analysis provided actionable insights for Bellabeat, identifying key trends in smart device usage that could help refine their product marketing strategies and better cater to their target demographic.