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Estimating Customer Lifetime value for Business
- Learn the theory, concepts and Machine Learning methods on estimating Customer Lifetime Value (CLTV) for businesses.
- Explore formula based, ML and probabilistic approaches and implement them using Python. Know about the mistakes to avoid and industry best practices.."
Created by Selva Prabhakaran
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31 Video Lessons
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
What is CTLV
What is CTLV
and how companies uses it?
02
Formula and Varaitions
Formula and Varaitions
of CTLV
03
ML based Modeling approaches
ML based Modeling approaches
to predict CTLV
04
Probabilistic modeling
Probabilistic modeling
approaches
05
How to do customer segmentation
How to do customer segmentation
and best practices
06
How to validate
How to validate
CTLV models
07
Code demo with access to
Code demo with access to
fully solved examples
Course Curriculum
10 Modules | 32 Sessions | 3 hour 34 min Total Time
Intoducion to CLTV
Sessions: 3 | Time: 12 min
CLTV Calculation
Sessions: 4| Time: 22 min
Understand Business Problem & Data
Sessions: 5| Time: 22 min
Data Preprocessing and EDA
Sessions: 3| Time: 19 min
Customer Segmentation
Sessions: 5| Time: 49 min
Formula Based Computations
Sessions: 1| Time: 7 min
CLTV using Regression Modelling
Sessions: 6| Time: 42 min
BetaGeoFitter Modelling
Sessions: 3| Time: 32 min
Gamma - Gamma Modelling
Sessions: 1| Time: 5 min
Customer Segmentation based on CLTV value
Sessions: 1| Time: 4 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts