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Course Description

In this lesson, you will explore techniques and responsible practices that can lead to better and more ethical products. These include reproducing results before products go live, allowing others to replicate your results, making sure that algorithms are explainable, using audits to assess the quality of results, and building mechanisms that allow appeals in those cases where data science systems go wrong.

Benefits to the Learner

  • Examine responsible data science practices
  • Explore how to develop your own responsible practices
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Type
self-paced (non-instructor led)
Dates
Feb 03, 2022 to Dec 31, 2030
Total Number of Hours
1.0
Course Fee(s)
Regular Price $0.00
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