This codelab is geared towards startup developers, data scientists, business analysts, and product managers who work with or analyze personable identifiable datasets. This is also a great program for software developers, data scientists, and data analysts who hope to improve their product offerings or plan to publish statistics based on datasets that require a robust data anonymization technique to protect their user’s privacy and prevent data leakages.
Participants need to be able to read and write Python, the open source programming language, to follow the codelab and understand the computational models.
Before the codelab, we recommend reading up on the topics of data anonymization and differential privacy. You should read the Python introduction to familiarize yourself with a high-level library for writing data-processing pipelines. You’ll want to have this page ready if you want to code along during the introduction of the codelab.