This data analysis project focuses on Bellabeat, a high-tech manufacturer of health-focused products for women. The analysis explores smart device usage data to gain insights into how consumers use their smart devices and how these insights can inform Bellabeat's marketing strategy.

Data Analytics Case study of Bellabeat fitness Tracker Using R program

You are a junior data analyst working on the marketing analyst team at Bellabeat, a high-tech manufacturer of health-focused products for women. Bellabeat is a successful small company, but they have the potential to become a larger player in the global smart device market. Urška Sršen, cofounder and Chief Creative Officer of Bellabeat, believes that analyzing smart device fitness data could help unlock new growth opportunities for the company. You have been asked to focus on one of Bellabeat’s products and analyze smart device data to gain insight into how consumers are using their smart devices. The insights you discover will then help guide marketing strategy for the company. You will present your analysis to the Bellabeat executive team along with your high-level recommendations for Bellabeat’s marketing strategy.

Capstone Project for Google Data Analytics Certification. Analysis of Bellabeat Fitness Tracker Data using R.

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.

Google Data Analytics Capstone Project – Bellabeat Fitness Tracker Analysis using R

Data analysis project using R (Google Data Analytics Capstone: Bellabeat case study)

Case study done as part of the Google Analytics program's culminating assignment. The premise of the case is that Bellabeat, a company that makes wearable smart tech for women, wants to be a bigger player in the smart device game. To help them, I analyzed real Fitbit biometric tracker data (provided to us) to find key insights that would inform Bellabeat's overall marketing strategy. For this project, I used R, a tool that I was previously familiar with, but felt I needed improvement in. I used R to advance my skill with the language, which eventually payed off. With R, I cleaned, analyzed, and visualized the data.

Analyze on Bellabeat fitness tracker app using R. Capstone Project from Google Data Analytics Professional Certification.

Exploratory Data Analysis on Bellabeat Fitness Tracking App using R. Capstone Project for Google Data Analytics Professional Certificate

Analysis of Bellabeat fitness tracker data using R and Tableau as part of the Google Data Analytics Capstone

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

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

Capstone assignment for the Google Data Analytics Professional Certification: Exploratory Data Analysis on the Bellabeat Fitness Tracker App Using R.

A data analytics case study analyzing smart device fitness data to identify growth opportunities for Bellabeat using SQL and R.

A milestone project for the Google Analytics Certification, analyzing Bellabeat smart device data using R to generate health insights through data cleaning, analysis, and visualization.

The complete Google Data Analytics Capstone Project. A case study using R and SQL to analyze Fitbit user data and provide strategic business recommendations for Bellabeat.

Analyzing Fitbit users' data using R to create business insights for BellaBeat marketing team. This is also the Capstone Project of Google Data Analytics Professional Certificate.

In my Google Data Analytics Capstone, I analyzed smart fitness device data to inform Bellabeat App's marketing strategy using R (RStudio and R Markdown), and acquired skills in Spreadsheets, SQL, and Tableau.

This project is part of the Google Data Analytics Professional Certificate and analyzes Bellabeat’s data using R. It explores key insights to support business decisions through data analysis and visualization, applying real-world analytics techniques.

Bellabeat Google Data Analytics Capstone: Analyzed Fitbit data using R and the six-step process to explore activity, sleep, and weight trends. Delivered insights on user behavior and health patterns, turning raw data into actionable recommendations to guide Bellabeat’s marketing strategy.

This project is the Bellabeats Case Study for the Google Data Analytics Certification's Capstone. It is a full data analysis from data cleaning to recommendations using Google Sheets and R.

Capstone project from the Google Data Analytics Certificate. Analyzed Fitbit data using R to uncover trends in user activity and sleep, and provided insights to support Bellabeat’s marketing strategy.

This is my first analysis using R, based on the Bellabeat Case Study included in the Google Data Analytics Certificate. This project aims to explore trends in smart device usage and provide insights to support Bellabeat’s marketing strategy.

In this Google Data Analytics Capstone, I analyzed Fitbit smart fitness device data to provide Bellabeat stakeholders with data-driven insights, recommendations, and marketing strategies. I used R (RStudio and R Markdown) for analysis and enhanced my skills in Spreadsheets, SQL, and Tableau.

Case study to complete the Google/ Coursera Data Analytics Professional Certificate using real life data to answer the business question : Analyse smart data usage from fitbit users to discover trends and apply them to the Bellabeat marketing team. It has been done using R studio.

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 was a part of the Google Data Analytics Certificate Capstone project. The main goal of this project was to draw insights and trends from BellaBeat users (smart watch company) to improve its products. We followed the six-step analysis process: Ask, Prepare, Process, Analyze, Share, and Act. This project was completed using R and Tidyverse library.