Loading...

Course Description

Unstructured data is more difficult to protect than data that is structured. In this course, you will examine new and emerging data privacy issues and solutions surrounding unstructured data. This data includes textual data, time series data, and spatial-temporal data (e.g., mapping and location apps). You will also explore Internet of Things (IoT) data, how it can add value to your organization, and the accompanying privacy issues associated with that data. While striving to maximize revenue for your organization and simultaneously respect the privacy of your customers, you will explore the privacy challenges associated with geospatial data and ways to mask your customers’ identities. In the final phases of this course, you will consider different strategies for achieving differential privacy to both satisfy your organizational business goals and protect your customers’ privacy.

The following courses are required to be completed before taking this course:

  • Data Privacy in Marketing
  • Defensive Data Strategies
  • Data Protection Solutions

Faculty Author

Sachin Gupta and Matthew Schneider

Benefits to the Learner

  • Determine how unstructured data adds value and examine new privacy issues
  • Examine how spatial-temporal and Internet of Things (IoT) data add value and examine new privacy issues
  • Move towards differential privacy for your data

Target Audience

  • CMOs
  • CIOs and CTOs
  • Mid- and senior-level marketing managers
  • Brand and product managers
  • Data scientists and analysts
  • Web developers
  • Tech leaders and IT professionals
  • Consultants

Applies Towards the Following Certificates

Loading...
JCB434_PLACEHOLDER_Sponsoring School
Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
Required fields are indicated by .