RA: Retail Customer Analytics and Trade Area Modeling

EP3: Learn Python and apply Customer analytics, Churn prediction, Customer Segmentation and Trade Area Modeling.

This course includes:
15.5 total hours | 2 articles | 50 downloadable resources | Full lifetime access | Access on mobile and TV | Assignments | Certificate of completion

What you’ll learn

• Python

• Learn How to work daily with Python

• Use K-means for Customer Segmentation.

• Use Recommendation systems to Propose Products To customers.

• Predict Customer lifetime value of customers

• Customer analytics

• Learn how to benefit from data to increase Customer Engagement.

• Use Trade area modeling for Location and Competitive analysis.

• Use Market Basket analysis to Make recommendations and Promotional Bundles to customers.


♦ Basic Retail Knowledge

♦ Python Crash courses are included.


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.


Retail analytics is the field of studying the produced retail data and making insightful data-driven decisions from it. as this is a wide field, I have split the Program into three parts. in this course, we focus on the customer analytics part of retail. Understanding the customer is key for maintaining loyalty and developing products to boost retail business and profitability.

RA: Retail Customer Analytics and Trade Area Modeling.

1- Understanding the importance of customer analytics in retail.

2- Manipulation of Data with Pandas.

3-Working with Python for analytics.

5- Trade area modeling

6- Recommendation systems

7-  Customer lifetime value  prediction

8- Market Basket analytics

9- Churn prediction


Don't worry If you don't know how to code, we learn step by step by applying retail analysis!

*NOTE: Full Program includes downloadable resources and Python project files, homework and Program quizzes, lifetime access, and a 30-day money-back guarantee.

Who this Program is for:

· If you are an absolute beginner at coding, then take this Program.

· If you work in Retail and want to make data-driven decisions, this Program will equip you with what you need.

· If you are switching from Excel to a data science language. then this Program will fast-track your goal.

· If you are tired of doing the same analysis again and again on spreadsheets and want to find ways to automate it, this Program is for you.


Program Design

The Program is designed as experiential learning Modules, the first couple of modules are for retail fundamentals followed by Python programming fundamentals, this is to level all of the takers of this Program to the same pace. and the third part is retail applications using Data science which is using the knowledge of the first two modules to apply. while the Program delivery method will be a mix of me explaining the concepts on a whiteboard, Presentations, and Python-coding sessions where you do the coding with me step by step. there will be assessments in most of the sections to strengthen your newly acquired skills. all the practice and assessments are real retail use cases.

Course Preview

Who this course is for

Retail Managers | Retail Analysts | Data Scientists | Data Analysts | Retail Strategist | Merchandizers

Course Content