Back to courses
data intermediate
Python, Pandas, ML & GenAI for E-Commerce
Go from raw e-commerce data to intelligent features. Wrangle data with Pandas, build ML models (a product recommender and churn predictor) with scikit-learn, then add GenAI—embeddings, semantic search, and a RAG product assistant.
8 lessons
~5 hours
⭐ 1800 XP total
Your Progress 0/8 lessons
What you'll learn
Python Pandas Data Visualization Feature Engineering scikit-learn Recommender Systems Embeddings & RAG
Course Content
1
Python & the E-Commerce Dataset
20 min +150 XP
2
Data Wrangling with Pandas
20 min +200 XP
3
Exploratory Analysis & Visualization
25 min +200 XP
4
Feature Engineering
25 min +200 XP
5
ML: Building a Product Recommender
25 min +250 XP
6
ML: Predicting Customer Churn
30 min +250 XP
7
GenAI: Embeddings & Semantic Search
30 min +250 XP
8
GenAI: A RAG Product Assistant
30 min +300 XP