Using Data Science for Retail Store Segmentation
https://WebToolTip.com
Published 4/2025
Created by Antonio de Jesus Campos Rodriguez
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 63 Lectures ( 4h 1m ) | Size: 2 GB
Use data science for store segmentation: data preprocessing, EDA, clustering, and segment profiling in retail
What you'll learn
An approach for applying the data science lifecycle to a real-world retail segmentation problem
Preprocess and transformation of retail data for analysis
Performing exploratory data analysis
Interpretation of PCA components in a clustering context
How to build and evaluate stable store clusters using machine learning
Profiling segments in cluster analysis using Decision Trees
Describe and present store segments in a way that supports decision-making
Requirements
Python Programming
BigQuery
Machine Learning (PCA, Decision Tree, K-Means)
Scikit-Learn
Webscraping Selenium