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This repository contains learning in Data Science for Business course while pursuing my Master's in Quantitative Management- Business Analytics program at Fuqua School of Business

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tirthgala/Data-Science-For-Business

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Overview

This repository contains 3 cases as assignments and a Final Project put together via team effort. All have set of agendas in terms of questions to be achieved. The 'Final-Project' encapsulates real-world deployemnt of parametric models with the ultimate goal of accurate prediction and providing recommendations.

Content

Each folder is an assignment. These cases have agendas focused on:

  1. Understanding of data and background of business in hand.
  2. Finding (causation or correlation) relationship between variables in dataset.
  3. Building and Evaluating Statistical Models based on variables for prediction.
  4. Deployment of models and providing recommendations for business growth.

Structure

  1. Each folder in the repository has 'Case & Questions' file which draw understanding of the assignment. 'Submission_Case' & 'R_ScriptCase' are a team effort of code, building models to provide solutions for agendas to be achieved.
  2. 'Final Project' has file of 'Project Instructions' which underlines targets to be achieved. 'Submission_Team18' is a 10 page report which provides recommendations to business. 'R_ScriptFinalProject' has the R code behind data cleaning, preparation and model building.

Want to know more?

Feel free to reach out: tirthpravin.gala@duke.edu

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This repository contains learning in Data Science for Business course while pursuing my Master's in Quantitative Management- Business Analytics program at Fuqua School of Business

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