About

Data privacy has never been more important. But how do you balance privacy with the need to gather and share valuable business insights? In this Data Privacy and Anonymization in Python course at Data Camp, you'll learn how to do just that, using the same methods as Google and Amazon—including data generalization and privacy models, like k-Anonymity and differential privacy.

Overview

Context of the Data Privacy and Anonymization in Python course at Data Camp

In addition to touching on topics such as GDPR, you'll also discover how to build and train machine learning models in Python while protecting users’ sensitive information such as employee and income data. Let’s get started!

Programme Structure

Chapters

More on Privacy-Preserving Techniques
Differential Privacy
Anonymizing and Releasing Datasets

Key information

Duration

Part-time
- 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Disciplines

Data Science & Big Data Software Engineering View 592 other Short Courses in Data Science & Big Data in United States

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

PREREQUISITES

Unsupervised Learning in Python

Tuition Fee

To always see correct tuition fees

International

Free

Tuition Fee

Based on the tuition of 0 USD for the full programme during 1 days.
National

Free

Tuition Fee

Based on the tuition of 0 USD for the full programme during 1 days.

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

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Data Privacy and Anonymization in Python