About This Course
Data science has become a technology with many applications, such as in risk management, with counter-terrorism and tax fraud detection applications, or in a business setting to increase profitability and revenues or reduce costs. For a citizen, data science has led to better services and more efficient services. However, just as with any technology, data science has also led to some negative consequences. Ethics is all about what is right and what is wrong. In this course, participants will learn about the different concepts and techniques related to data science ethics.
This course uses a framework to discuss data science ethics in a business setting, evaluating the fairness, accountability and transparency, in the different stages of a data science project: from data gathering to model deployment. There will be ample of case studies and examples that illustrate the importance of considering ethics in data science projects, as well as theoretical concepts and techniques that can be used to improve on the ethical aspects.
The course features more than 3 hours of video lectures, more than 50 multiple choice questions, and various references to background literature. A certificate signed by the instructors is provided upon successful completion.
See Deep Fake to get a free teaser of the course contents.
We can also come and teach this course on-site in classroom format. If interested, please mail us at:
Note that this course is not available to academic personnel and institutions.
The enrollment fee for this course is EUR 250 (VAT excl.) per participant. Payments are securely handled by PayPal. If you are a company in the European Union, then we can apply VAT reverse charge. For this, please mail your VAT number to Bart@BlueCourses.com. Part of our course revenue is used towards funding organizations involvement in protecting and cleaning our oceans. See our about page to learn more about our mission statement.
After enrollment, participants will get 1 year unlimited access to all course material (videos, R/Python scripts, quizzes and certificate).