Customer Segmentation using K-Means Clustering in R

Welcome to the project-based course, Customer Segmentation using K-Means Clustering in R. In this comprehensive 2.5-hour project, you will delve into customer market segmentation using R packages. This course is designed for individuals with prior experience in using R and offers an opportunity to learn and apply K-Means Clustering algorithm to create distinct customer groups based on their characteristics.

• Explore and import mall customers data into RStudio workspace
• Utilize the ggplot2 package to render visually appealing plots of the data
• Determine the optimal number of clusters for customer segments and apply K-Means algorithm
• Use R markdown file to organize work and knit code into an HTML document for publishing

This guided project does not require an expert level of knowledge in data analysis but assumes a basic understanding of R syntax. If you're new to R, it is recommended to complete the "Getting Started with R" project before embarking on this course. Join us on this journey to gain insights into customer segmentation and enhance your skills in R programming!