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Final project of the Google Data Analytics Certificate. Database exploration and visualization using tidyverse, dplyr, tidyr, and ggplot2 packages in R. Identified major customer groups and developed action plans and recommendations.

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Bellabeat Case Study

This analysis is the final project of the Google Data Analytics Certificate See credential

Introduction and background
Bellabeat is a successful small high-tech company that manufactures health-focused smart products for women. 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.

USršen used her background as an artist to develop beautifully designed technology that informs and inspires women around the world. Collecting data on activity, sleep, stress, and reproductive health has allowed Bellabeat to empower women with knowledge about their own health and habits. Since it was founded in 2013, Bellabeat has grown rapidly and quickly positioned itself as a tech-driven wellness company for women.

There is their website for more information.

Business task
Analyzed smart device usage data to gain insight into user habits and guided a Bellabeat marketing strategy.

Key stakeholders
    Primary Stakeholders:
      - Urška Sršen: Bellabeat’s cofounder and Chief Creative Officer
      - Sando Mur: Mathematician and Bellabeat’s cofounder; key member of the Bellabeat executive team

    Secondary Stakeholders:
      - Bellabeat marketing analytics team: A team of data analysts responsible for collecting, analyzing, and reporting data that helps guide Bellabeat’s marketing strategy.

Data sources used:
The dataset used for this analysis is: FitBit Fitness Tracker Data
CC0: Public Domain, dataset made available through Mobius Data Content: This Kaggle data set contains personal fitness tracker from thirty fitbit users. Thirty eligible Fitbit users consented to the submission of personal tracker data, including minute-level output for physical activity, heart rate, and sleep monitoring. It includes information about daily activity, steps, and heart rate that can be used to explore users’ habits.

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Final project of the Google Data Analytics Certificate. Database exploration and visualization using tidyverse, dplyr, tidyr, and ggplot2 packages in R. Identified major customer groups and developed action plans and recommendations.

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