EP3: Learn Python and apply Customer analytics, Churn prediction, Customer Segmentation and Trade Area Modeling.
What you’ll 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
Description
“This is one of the three courses in the Retail Series by RA, each course can be taken independently.”
Master Retail management and analytics with Excel and Python
Retailers face fierce competition every day and keeping up with the new trends and customer preferences is a guarantee for excellence in the modern retail environment. one Keyway to excel in retail management is utilizing the data that is produced every day. It is estimated that We produce an overwhelming amount of data every day, roughly 2.5 quintillion bytes. According to an IBM study, 90% of the world’s data has been created in the last two years
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