RA: Retail Customer Analytics and Trade Area Modeling.
EP3: Learn Python and apply Customer analytics, Churn prediction, Customer Segmentation and Trade Area Modeling.
4.63 (418 reviews)
13 861
students
15.5 hours
content
Nov 2022
last update
$13.99
regular price
What you will learn
Python.
Customer analytics
Learn How to work daily with Python
Learn how to benefit from data to increase Customer Engagement.
Use K-means for Customer Segmentation.
Use Trade area modeling for Location and Competitive analysis.
Use Recommendation systems to Propose Products To customers.
Use Market Basket analysis to Make recommendations and Promotional Bundles to customers.
Predict Customer lifetime value of customers
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Our Verdict
Dive into the world of retail customer analytics with RA: Retail Customer Analytics and Trade Area Modeling. Boost your analytical skills by learning to work daily with Python and applying it for customer analytics, churn prediction, segmentation, and trade area modeling. While audio aspects could use enhancement and hands-on experience varies across students, the course provides invaluable insights into essential retail and marketing techniques.
What We Liked
- Comprehensive coverage of retail customer analytics and trade area modeling
- Detailed explanations for all topics with real-world examples
- Provides a solid foundation in Python for Customer Analytics
- Actionable insights for predicting customer churn, segmentation, and lifetime value
Potential Drawbacks
- Audio quality and pronunciation need improvement in some sections
- In-depth understanding of machine learning concepts expected from learners
- Lack of captivating presentation style can make some modules less engaging
- Handwriting samples are not easily readable
Related Topics
3877156
udemy ID
26/02/2021
course created date
15/04/2021
course indexed date
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