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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 concluĂdo um estudo de caso utilizando a linguagem R
Google Data Analytics capstone project
A Data Analytics Project on FitBit Fitness Tracker Data.
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.
A case study to finish of the Google Data Analytics Course
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
Google data analyst professional certificate capstone project in R
Focusing on making a marketing strategy and using R language to clean and analyze data.
Bellabeat Case Study - Google Data Analytics Capstone using Python.
A case study of fitness tracker user data analyzed with Excel and visualized with Tableau.
Using R to analyze data , get insights & draw conclusions and recommendations for company's problems.
Case study on smart device usage where insights will be applied to how wearers may use bellabeat health and fitness products.
Bellabeat project using fitbit fitness tracker data in r
This case study is my capstone project of Google Data Analytics Certificate. It focuses on exploring wellness metrics of Fitbit users.
This is my capstone project to complete Google Data Analytics course.
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.
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.