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aerofit_business_case

Aerofit is a leading brand in the field of fitness equipment. Aerofit provides a product range including machines such as treadmills, exercise bikes, gym equipment, and fitness accessories to cater to the needs of all categories of people.

coffee-chain-business-case

Cafe Coffee Day(CCD), a part of Coffee Day Global Limited, is India’s favorite hangout for coffee and conversations. Popularly known as CCD, it strives to provide the best experience to the guests. Problem statement- CCD is losing money and it wants to find out why. You are asked to take a look at the data and see if you can pinpoint some reasons.

fitbit-business-case

In this Fitbit case study, the problem at hand is to investigate the correlation between an individual's mood and specific parameters such as calories burned, hours of sleep, and step count. The study seeks to identify relationship between these variables to better understand how mood is influenced by physical activity and sleep patterns.

mapup-data-assessment-f

netflix-case-study

Netflix is one of the most popular media and video streaming platforms. The dataset was analyzed & insights were given for deciding which type of shows/movies to produce and how they can grow the business in different countries

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target-business-case-study

Target Corporation is an American retail corporation. This case study focuses on the operations of Target in Brazil and provides insightful information about 100,000 orders placed between 2016 and 2018. After analyzing this dataset, it became possible to gain valuable insights into Target's operations in Brazil.

walmart---confidence-interval-and-clt

The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions.

yulu---hypothesis-testing

Yulu, India's top micro-mobility service provider, seeks insights into predicting demand for shared electric cycles in the Indian market. The company aims to identify significant variables influencing this demand and assess how effectively these variables describe the patterns in electric cycle demand.