Exploratory Data Analysis on Bellabeat fitness tracker app using Python. Capstone project from Google Data Analytics Professional Certification.

Projeto final do programa Google Data Analytics, onde foi concluído um estudo de caso utilizando a linguagem R

Google Data Analytics capstone project

A Data Analytics Project on FitBit Fitness Tracker Data.

A case study to finish of the Google Data Analytics Course

This repository contains a comprehensive analysis of smart device data for Bellabeat, focusing on user activity, sleep, calorie burn, and weight management. Insights from Fitbit data are used to inform Bellabeat's marketing strategy and product recommendations.

Hello! Welcome to my first ever data analysis project! I am completing the last course of the Google Data Analytics Cetificate and I chose to do the "Case Study 2: Can a Wellness Company Play it Smart?" which pertains to the Bellabeat Capstone.

Bellabeat is a high-tech company developing wellness tracking device for women. Analysis was done to discover trends and make decisions that will influence the company's product offer and marketing strategy positively

🧑🤝🧑 Explore the links between social inclusion, physical health, and mental well-being for older Europeans using comprehensive health survey data.

Tableau dashboard analyzing Bellabeat Leaf smart device usage and wellness trends, like feature adoption, time-based activity and sleep patterns, user wellness profiles, and correlation insights

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.

Marketing analysis of Bellabeat smart device usage

Analyzed Fitbit smart device data using SQL, Excel, and Tableau to uncover trends in daily activity, sedentary behavior, and sleep. Developed recommendations for Bellabeat to improve user health engagement.

A case study of fitness tracker user data analyzed with Excel and visualized with Tableau.

An exploratory data analysis on fitness tracker usage using R programming language. The analysis examined trends and key insights derived from the fitness tracker data, providing a detailed understanding of user behaviour and engagement.

Case study on smart device usage where insights will be applied to how wearers may use bellabeat health and fitness products.

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 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.

Bellabeat data analysis project - understanding user behaviour from fitness tracking data

Using R to analyze data , get insights & draw conclusions and recommendations for company's problems.