Ethical dimensions of data science

Data Science is a field not free of ethical concerns and some pressing issues. From distorting experiments with a systemic bias to imposing human ethics on machine learning models, data scientists have far more to worry about than the raw numbers in their spreadsheet. The human side of these ethical concerns in data science, from economic and social aspects to individual factors such as privacy and security, are all of prime importance in data science. In any model or experiment, these factors cannot, and should not, be ignored.

What you'll learn

• Some controversies and ethical concerns in data science

• Major ethical dilemmas

• Best practices for data scientists