Causal Inference in Python : Applying Causal Inference in the Tech Industry - Matheus  Facure

eTEXT

Causal Inference in Python

Applying Causal Inference in the Tech Industry

By: Matheus Facure

eText | 14 July 2023 | Edition Number 1

At a Glance

eText


$75.89

or 4 interest-free payments of $18.97 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Read online on
Desktop
Tablet
Mobile

Not downloadable to your eReader or an app

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.
How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference.

In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example.

With this book, you will:
  • Learn how to use basic concepts of causal inference
  • Frame a business problem as a causal inference problem Understand how bias gets in the way of causal inference
  • Learn how causal effects can differ from person to person Use repeated observations of the same customers across time to adjust for biases
  • Understand how causal effects differ across geographic locations Examine noncompliance bias and effect dilution
About the Author

Matheus Facure is an Economist and Senior Data Scientist at Nubank, the biggest FinTech company outside Asia. His has successfully applied causal inference in a wide range of business scenarios, from automated and real time interest and credit decision making, to cross sell emails and optimizing marketing budgets. He is also author of Causal Inference for the Brave and True, a popular book which aims at making causal inference mainstream in a light-hearted, yet rigorous way.
Read online on
Desktop
Tablet
Mobile

More in Business & Management

More Wealth Without Risk - Charles J. Givens

eBOOK

Negotiating Rationally - Max H. Bazerman

eBOOK

Hypercompetition - Richard A. D'aveni

eBOOK

$44.99