The average user stores huge amounts of data on Google and other cloud storage sites. Users are often not aware of the quantity of data that is stored over the years, and not careful about the type of information they store. An account breach could potentially lead to sensitive information to be leaked... which could be problematic.
Cyclistic Bike-Share Analysis
Google Data Analytics - Bellabeat Case Study
Data Analytics and Visualization related to FitBit Tracker smartwatch
This repository is about case study 1 during my course at Google Data Analytics Certification Program
This repository features the SQL coding and documentation for the Cyclistic Case Study from the Google Data Analytics Professional Certificate. The data was taken from Google Course's own provided source. The dataset used in this analysis (Jun 2023 - May 2024) can be found here: https://divvy-tripdata.s3.amazonaws.com/index.html
This contains analysis of the UK housing dataset from the year 1999 to 2019.
Google Advanced Data Analytics Capstone
To clean, analyze and visualize the data to observe how casual riders use the bike rentals differently from annual member riders.
Case study part of the Google Data Analytics Certificate. This case study is where I can showcase my skill in using BigQuery (SQL) and RStudio (R)
Projeto de conclusão da Certificação do Google em Análise de Dados.
This is a repository of my work on data analysis as a part of the Google Data Analytics Capstone
A case study about a bike-share company to help understand the difference between different users
Google Data Analytics Course : This repository contains my Google Data Analytics Certificates.
contains Google Data Analytics Professional Certificate slides and reading materials
Course project under the "Google Data Analytics" analyzing the bike trip data using the charts and the summary statistics.
Combined and manipulated 12 datasets to get insights into bike rider behavior and trends.
Google Data Analytics Capstone Project: How Can a Wellness Technology Company Play It Smart?
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