Estimating the Profitability of Discounts you own this product

prerequisites
basics of Python • basics of data science
skills learned
how bias gets in the way of causal inference • adjust for bias using a linear regression
Matheus Facure
1 week · 2-4 hours per week · INTERMEDIATE
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In this liveProject, you’ll utilize causal inference techniques to help an e-commerce company estimate the impact of discounts on profits. You’ll learn how bias gets in our way of inferring the effect of discounts, and how to adjust for it for more accurate results. Leverage adjustment techniques, like linear regression, to adjust for bias and see how linear regression can improve the quality of your data. Your final task is to present a recommendation on whether the company should distribute its discounts or not.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Matheus Facure
Matheus Facure is an economist, data scientist and causal inference specialist at Nubank. He currently works with adding causal inference capabilities to machine learning models with application in the credit card business, and acts as a consultant for other business areas inside Nubank, such as personal loans and marketing.

prerequisites

This liveProject is for data scientists with knowledge of Python, machine learning, and statistics. A basic understanding of causal inference will also be helpful, but is not required. To begin this liveProject you will need to be familiar with the following:


TOOLS
  • Basics of Python
  • Basics of pandas
  • Basics of Matplotlib
  • Basics of NumPy
TECHNIQUES
  • Basics of data science
  • Basics of linear regression

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