Optimizing Marketing Budget Spend with Market Mix Modelling Copy
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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

  • 34 Video Lessons

  • English

  • English captions

What you will learn


What is Market Mix Modeling?


Various features that could be used for MMM


How to construct Ad Stock variables


How to perform EDA for Market Mix Modeling


Linear and Non-Linear modeling approaches


Budget optimization strategies with fully solved Python code

Course Curriculum


  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers


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!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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