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Data Privacy and Anonymization in Python Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Data Privacy and Anonymization in Python course offered by Data Camp you will learn to process sensitive information with privacy-preserving techniques.

Overview

Context

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 offered by 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. 

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 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

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

  • This course is targeted at Advanced learners.
  • This course covers essential data privacy concepts and is beneficial for those who work in fields such as data science, artificial intelligence, data analysis, software engineering, and more, who need to ensure the privacy and security of their data and users' data.

PREREQUISITES

  • Unsupervised Learning in Python

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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