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RA: Retail Customer Analytics and Trade Area Modeling.

EP3: Learn Python and apply Customer analytics, Churn prediction, Customer Segmentation and Trade Area Modeling.
5.0
5.0/5
(2 reviews)
6 students
Created by Haytham Omar

10.0

CourseMarks Score®

10.0

Freshness

10.0

Feedback

10.0

Content

Platform: Udemy
Price: $11.99
Video: 15h 42m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

10.0 / 10

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Freshness Score

10.0 / 10
This course was last updated on 4/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

10.0 / 10
We analyzed factors such as the rating (5.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

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Content Score

10.0 / 10
Video Score: 10.0 / 10
The course includes 15h 42m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
48 resources.
0 exercise.
0 test.

Table of contents

Description

“Photo by Alexander Kovacs on Unsplash”

“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.

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.

Requirements

• Basic Retail Knowledge
• Python Crash courses are included.

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

This course is for

• Retail Managers
• Retail Analysts
• Data Scientists
• Data Analysts
• Retail Strategist
• Merchandizers

How much does the RA: Retail Customer Analytics and Trade Area Modeling. course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.

Does the RA: Retail Customer Analytics and Trade Area Modeling. course have a money back guarantee or refund policy?

YES, RA: Retail Customer Analytics and Trade Area Modeling. has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the RA: Retail Customer Analytics and Trade Area Modeling. course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Haytham Omar a SCAM or a TRUSTED instructor?

Haytham Omar has created 9 courses that got 420 reviews which are generally positive. Haytham Omar has taught 2,135 students and received a 4.5 average review out of 420 reviews. Depending on the information available, Haytham Omar is a TRUSTED instructor.

More info about the instructor, Haytham Omar

Consultant-Supply chain
“Never follow a book by its cover, In a world that changes every second, we must be resilient and proactive. ” Consultant / Developer /TrainerConsultant in Supply Chain Management & Business IntelligenceFounder – Rescale Analytics – Dubai• PhD student at the University of Bordeaux.• Supply chain and data science consultant for several national and multinational clients in the UAE and France.• Data Scientist, Master of Science in Global Supply Chain Management from Bordeaux Ecole de Management, Bordeaux, FranceHe is currently conducting workshops and seminars in Supply chain and data science as well as consultancy projects for Sephora, Sharaf group and aster pharmacy.• Haytham conducted more than 70 workshops in UAE in the last three years in supply chain and data science. Clients :Sharaf GroupAster GroupSephora FranceDNO Qarar for financial analyticsLamprellNoble ProgPWC training AcademyHigher College of TechnologyPartners: Edusphere dubai- Limar Tech Saudi arabia – sl-tech Abu DhabiProjects :AHQ-SHARAF GROUP:developing an algorithm for the replenishment of stocks to Sharaf group -adventure HQ . the algorithm is being used since November 2019 with notable results.Developing and deploying an algorithm for revenue maximization based on elasticity techniques for adventure zones service provided by AHQ. Projects: Sephora – FranceHaytham is working with Kedge business school as part of the team CSIT for partnership The collaboration of Omni-channel optimization with Sephora France. As a part of his Ph.D. project. Development: Haytham developed the Inventorize package in R mainly used for supply chain analytics with more than 12000 Downloads so far.

10.0

CourseMarks Score®

10.0

Freshness

10.0

Feedback

10.0

Content

Platform: Udemy
Price: $11.99
Video: 15h 42m
Language: English
Next start: On Demand

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