Regression Analysis Course
This course equips you with essential skills in regression analysis for marketing and product data, focusing on data preparation, model building, and deriving actionable business insights.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Regression Analysis Course helps you quickly turn raw product and marketing data into reliable, actionable insights. Learn robust data cleaning, exploratory visualisation, and model building for product-month panels, including linear, count, and panel models. Practice assumption checks, elasticities, and marketing response modelling, then confidently translate regression outputs into clear, high-impact recommendations.
Elevify advantages
Develop skills
- Interpret regression outputs: turn coefficients into clear business actions.
- Diagnose model issues fast: run residual checks, VIF, and robust fixes.
- Build solid regression models: select features, regularise, and validate.
- Model sales drivers: estimate price elasticity, ad ROI, and demand curves.
- Clean panel data expertly: impute, winsorise, and engineer time-based features.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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