A complete data analytics capstone project using R. Analyzing activity, sleep, and heart rate trends from Fitbit user data to support Bellabeat’s product strategy. Includes R Markdown analysis, visualizations, business recommendations, and final report.

This is my first data analytics project for the Google Data Analytics Certificate

Bellabeat Case Study for Google data analytics Course using Python

This repository contains an end-to-end data analysis project for Bellabeat, a health-focused smart device company. As a junior data analyst, we explore public smart device usage data to identify key behavioral trends and translate them into actionable marketing insights for Bellabeat.

Bellabeat Case Study : Google Data Analytics Capstone

Bellabeat Case Study - Google Data Analytics Capstone using Python.

Bellabeat case study using R — focused on one product and enriched with an additional gym membership exercise dataset to provide a more targeted analysis of user activity trends. Completed as part of the Google Data Analytics Capstone.

This project focuses on leveraging Fitbit user data to derive valuable insights and facilitate data-driven decision-making for Bellabeat, a leading wellness company. The objective is to harness the wealth of information captured by Fitbit devices to enhance the wellness offerings provided by Bellabeat.

Case Study of the Google Data Analytics Capstone course. Analyzing Fitbit's dataset to understand how can a wellness company play it smart?

This case study is part of the Google Data Analytics Professional Certificate. It focuses on Bellabeat, a wellness brand for women, and provides analysis on smart device usage to inform and refine their marketing strategy. RStudio, a programming tool built for R, was employed to clean, analyse and visualise the data.