This repository contains codes and analytics developed as part of a course that integrates marketing and business analytics concepts for problem-solving and storytelling.
- 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.
- Code: Scripts implementing various analytical techniques for marketing problems.
- Datasets: Sample datasets used for analysis (if applicable).
- Reports: Insights and visualizations derived from the analytics.
- Python/R/Other (mention specific languages used).
- Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, etc. (or any relevant tools).
- Clone the repository:
git clone https://github.com/Nisrgg/Marketing-Analytics.git