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Analyzing Fitbit fitness tracker data using R and suggesting actionable marketing strategy to enable Bellabeat to become a global fitness tracker player

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Google Data Analytics Capstone Project: BellaBeat Case Study

Introduction

This project is a case study for the final course of the Google Data Analytics course through Coursera. I have chosen one of the case study options that deals with a dataset from the Bellabeat company, a tech manufacturer of health-based products for women. The analysis of this case study will be conducted using the Ask, Prepare, Process, Analyze, Share, and Act phases that were emphasized in the course.

Business Problem

The Bellabeat company needs to expand in the smart device global market,and it needs the marketing analytics team to make recommendations based on the following questions:

  • What are some trends in smart device usage?
  • How could these trends apply to Bellabeat customers?
  • How could these trends help guide Bellabeat marketing strategy?

Methodology

The case study is completed by cleaning and analyzing the data using R.

The .rmd and html versions of the code are in 'Notebook'.

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Analyzing Fitbit fitness tracker data using R and suggesting actionable marketing strategy to enable Bellabeat to become a global fitness tracker player

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