Algorithmic Fairness and Data Ethics
This course provides data scientists with the advanced tools necessary to identify and mitigate bias in machine learning models. It emphasizes ethical data stewardship and the systematic elimination of discriminatory outputs in predictive analytics.
£320
Certified Data Ethics Professional
- Pass mark 70%
- Certificate on completion
- Verifiable public certificate ID
- English · available globally
Algorithmic Fairness and Data Ethics: the short answers
- What is Algorithmic Fairness and Data Ethics?
- This course provides data scientists with the advanced tools necessary to identify and mitigate bias in machine learning models. It emphasizes ethical data stewardship and the systematic elimination of discriminatory outputs in predictive analytics.
- Who is Algorithmic Fairness and Data Ethics for?
- It is pitched at Advanced level for Data Scientists working in computer, and is studied online from any country.
- How long does Algorithmic Fairness and Data Ethics take?
- Around 18 hours of study, plus the assessed assignments and one applied project.
- How is the certification assessed?
- Every assignment and the final project are assessed automatically against the published criteria. The pass mark is 70%, and an item that does not pass can be resubmitted.
- What do I receive when I pass?
- Certified Data Ethics Professional, issued as a certificate with a unique ID that employers can check in the public certificate register.
- How much does it cost?
- £320 once, with no subscription.
What you will be able to do
- Audit datasets for demographic bias
- Quantify fairness metrics in model output
- Implement bias detection in training pipelines
- Develop ethical documentation for AI models
- Conduct impact assessments for algorithmic deployment
Written by Prof. Marcus Thorne, Lead Data Scientist. Every submission is assessed automatically against the published criteria for Certified Data Ethics Professional, and the certificate is issued the moment the assessment is complete.
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