Protecting Data for Analysis and Machine Learning

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1:30:32

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01 - Introduction

01 - Protecting your data.mp4

00:50

02 - 1. Understanding Data Security

01 - Exploring data security.mp4

05:03

02 - Types of data to secure.mp4

04:54

03 - Potential consequences of bad data security.mp4

06:45

03 - 2. Protecting Data in the Data Lifecycle

01 - What is the data lifecycle.mp4

04:23

02 - Access.mp4

02:48

03 - Audit trails.mp4

02:45

04 - Collection.mp4

03:15

05 - Preprocessing.mp4

04:03

06 - Storage.mp4

03:26

07 - Disposal.mp4

03:04

08 - Sharing.mp4

04:26

04 - 3. Education and Training Best Practices

01 - Education and training.mp4

04:28

02 - Education and training Cadence and methods.mp4

04:48

05 - 4. Data Anonymization

01 - Data anonymization.mp4

04:37

02 - Setting up the notebook.mp4

04:36

03 - Masking.mp4

03:09

04 - Encryption.mp4

04:31

05 - Generalization.mp4

08:21

06 - Perturbation.mp4

04:19

07 - Pseudonymization.mp4

05:01

06 - Conclusion

01 - Additional resources to protect your data.mp4

01:00

Description

Data security is the process of maintaining the confidentiality, integrity, and availability of an organization’s data. More simply put, it is the process of protecting data from unauthorized access, corruption, or theft. There are several potential consequences that organizations and individuals can face due to bad data security practices. In today’s tech landscape with the increase in use of data in analysis, machine learning models, and AI, it is more important than ever for everyone in an organization to have a solid understanding of data security practices in order to help keep organizations–and themselves–safe. In this course, learn the basics of data security and its potential consequences if ignored. Instructor Monica Royal explores the best practices for protecting the data analytics pipeline and demonstrates some of the most common data anonymization techniques.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.