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Course Description

In this lesson on data protection solutions, you will consider the tradeoff between profitability and privacy, which can be examined through the lens of the privacy/accuracy tradeoff curve. This graph can help you determine how much of the business value of your data you will need to sacrifice in order to increase data privacy. One way to recapture that lost value is through aggregating data; for example, instead of identifying a customer's age, you can capture that age in an age range.

Benefits to the Learner

  • Use k-anonymity to examine the impact of suppressing variables
  • Explore ways to use variable suppression to improve data privacy
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Type
self-paced (non-instructor led)
Dates
Feb 23, 2021 to Dec 31, 2030
Total Number of Hours
1.0
Course Fee(s)
Regular Price $0.00
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