Fixed and Mixed Effects Modelling
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Fixed and Mixed Effects Modelling

  • Learn how to distinguish between fixed and random effects, apply appropriate modeling techniques,
    and interpret results accurately through practical examples and hands-on python codes.

Created by Selva Prabhakaran

  • 8 Video Lessons

  • English

  • English captions

What you will learn


Understand the intuition and math behind Fixed and Mixed effects


How to specify models?


When to apply, example use cases


Interpreting results


What to do when results don't add up


Hands on, work out and examples in Python

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

  • 75K+students

  • 50+ Courses


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