Google Data Analytics: Capstone

Bellabeat Fitness Tracking App Analysis

This analysis is an optional Capstone project from the Google Data Analytics Professional Certificate on Coursera.

Background:

Bellabeat is a high-tech manufacturer of beautifully-designed health-focused smart products for women since 2013. Inspiring and empowering women with knowledge about their own health and habits, Bellabeat has grown rapidly and quickly positioned itself as a tech-driven wellness company for females.

The co-founder and Chief Creative Officer, Urška Sršen is confident that an analysis of non-Bellebeat consumer data (ie. FitBit fitness tracker usage data) would reveal more opportunities for growth.

Business Task:

Analyze FitBit Fitness Tracker App data to gain insights into how consumers are using the FitBit app and discover trends and insights for Bellabeat marketing team.

Business Objectives:

• What are the trends identified?
• How could these trends apply to Bellabeat customers?
• How could these trends help influence Bellabeat marketing strategy?

Tools:

Python for Data Cleaning, Data Transformation, Data Visualisation and Data Analysis

Data Set:

The data set is publicly available on Kaggle.

Posted in:

• Medium: Google Capstone Project: How Can Bellabeat, A Wellness Technology Company Play It Smart?

• Kaggle: Bellabeat Case Study