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Optimizing Marketing budget Spend with Market Mix Modelling
- Learn how to implement the core Market Mix Modeling (MMM) project for optimizing marketing budget allocation using Python
- Covers Linear and Non-Linear modeling approaches
- Includes completely solved jupyter notebooks, including budget optimization code that you can reuse
Created by Selva Prabhakaran
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34 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 Market Mix
What is Market Mix
Modelling?
02
Various Features that could
Various Features that could
be used for MMM
03
How to construct Ad
How to construct Ad
Stock variables
04
How to perform EDA for
How to perform EDA for
Market Mix Modelling
05
Linear and Non-linear
Linear and Non-linear
Modelling approaches
06
Budget Optimization
Budget Optimization
Strategies with fully solved
python code
Course Curriculum
8 Modules | Sessions | hour min Total Time
Introduction
Sessions: 2 | Time: 4 min
Understanding Data
Sessions: 4| Time: 17 min
Feature Engineering
Sessions: 10| Time: min
Exploratory Data Analysis (EDA)
Sessions: 3| Time: min
Model Building
Sessions: 6| Time: 58 min
Distributive Lags Models
Sessions: 5| Time: 28 min
Non-Linear Modeling with GAM
Sessions: 3| Time: 7 min
Budget Optimization Strategies
Sessions: 6| Time: 48 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