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Customer Analytics with R

πŸ“Œ Overview

This repository contains my assignments for the Customer Analytics with R course.
It includes datasets and R scripts used for analysis.

🎯 Objectives

  • Analyse customer data to find patterns and trends.
  • Segment customers based on behaviour and demographics.
  • Visualise key insights using R packages like ggplot2 and dplyr.
  • Apply basic predictive analytics to understand customer lifetime value or churn.

πŸ—‚οΈ File Structure

β”œβ”€β”€ data/ # Datasets used in the assignments
└── src/ # R scripts for analysis

βš™οΈ How to Use

  1. Make sure R is installed: CRAN
  2. Install required packages (if needed):
install.packages(c("tidyverse", "ggplot2", "dplyr"))

Open and run the R scripts in src/ in order.

πŸ“š Notes

Each script corresponds to a specific assignment.

Visualizations and outputs are generated when running the scripts.

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Customer analytics with R focusing on user behaviour, segmentation, and business insights.

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