Fig 1: Courtesy Google Images

This post is about my Udacity Data Science Nanodegree capstone project. One of the project choices was the Starbucks Offer Analysis project — analyze the offer and transaction data over a period of 1 month and recommend offers based on the customer segment

Project Definition

Project Overview

In this capstone project, I worked with datasets from Starbucks that contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Once every few days, Starbucks sends out an offer to users of the mobile app. An offer can be merely an advertisement for a drink or an actual offer such as a discount…


Introduction

This is my first blog post and it gives a general overview of the Seattle Airbnb data from December 2020 to December 2021. This short blog is part of one of the projects in Udacity’s Data Science Nanodegree program. I’ve explored the Airbnb dataset for Seattle. Through this introductory project, I’ve done a quick overview of the Seattle Airbnb Data (here) while using the CRISP-DM process (CRoss Industry Standard Process for Data Mining). This process comprises of six phases that describe the data science life cycle as mentioned below:

  1. Business Understanding: What is the business need to do the analysis…

Nihal Shah

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