Google capstone project case study 2
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Updated
Aug 19, 2021 - R
Google capstone project case study 2
A fim de ingressar na empresa júnior do curso de estatística da Unicamp, foi pedido que desenvolvesse uma análise de dados com o objetivo de descobrir qual área de aplicativo seria a melhor para se realizar um investimento. Todo o desenvolvimento foi feito em R e depois passado em Rmd, que não disponibilizei por conter marcas oficiais da Estat J…
Repositório com o estudo de caso de uma empresa de compartilhamento de bicletas fictícia, a Cyclistic, proposta pelo Coursera como projeto final da certificação de Data Analytics do Google
Technical assessment for Cox Automotive Data Science II position
A Bike rentals firm wants to design marketing strategies that will encourage casual riders to take up annual membership. This project aims to analyse Bike Rides data for the last one year and generate insights that will help the stakeholders to make key decisions. Data analysis/visualisations have been done using Excel, R and SQL.
Welcome to the Bellabeat analysis case study! In this project, I take on the role of a junior data analyst in Bellabeat's marketing and analytics team. Bellabeat designs health-focused products for women and has the potential to become a larger player in the global smart device market.
A case study I did for my Google Data Analytics Capstone
Case study #1 from Coursera Google Data Analytics Certification
The following is my first full Data Analysis project, It's the capstone project for the Google Data Analytics certificate (Cyclistic)
This is my first major project cum case study in the domain of Data Analytics. The link for the notebook: https://www.kaggle.com/code/parth642001/case-study-for-the-cyclisitc
Repo for the case study: Collider Bias - The Hairdresser Example
statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews
A case study to finish of the Google Data Analytics Course
HR Analytics Case Study
Data science with R: predicting car insurance conversion rate and engine part failure rates (binary classification)
Based on available data from bank and parameters to identify the variables that influence the most, predict the bankruptcy of the given financial model
Data Mining Mid Term Project is a case-study project that focuses on data analysis. With R, we have done our best to present the Data in a more meaningful and impactful way that could improve the financial/ecommerce/market decision making and others. Dataset is scrapped from https://www.flipkart.com/
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