(eCornell) Emerging Data Privacy Challenges

Training Provider: GENASHTIM
Course Reference: TGS-2023038390
S$700

About This Course

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 course is provided by eCornell in partnership with Genashtim.

What You'll Learn

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

Course Details

Duration 12 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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