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Code and analytics from a course combining marketing and business analytics. Includes solutions to marketing problems using statistical and machine learning tools, with a focus on identifying key questions, selecting appropriate tools and datasets, and creating actionable insights through storytelling

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Marketing Analytics Course

This repository contains codes and analytics developed as part of a course that integrates marketing and business analytics concepts for problem-solving and storytelling.

Objectives

  • Break down marketing problems into smaller questions.
  • Identify and utilize appropriate tools and datasets.
  • Apply statistical and machine learning techniques effectively.
  • Create actionable marketing insights through storytelling.

Contents

  1. Code: Scripts implementing various analytical techniques for marketing problems.
  2. Datasets: Sample datasets used for analysis (if applicable).
  3. Reports: Insights and visualizations derived from the analytics.

Tools and Technologies

  • Python/R/Other (mention specific languages used).
  • Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, etc. (or any relevant tools).

Getting Started

  1. Clone the repository:
    git clone https://github.com/Nisrgg/Marketing-Analytics.git

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Code and analytics from a course combining marketing and business analytics. Includes solutions to marketing problems using statistical and machine learning tools, with a focus on identifying key questions, selecting appropriate tools and datasets, and creating actionable insights through storytelling

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