This course provides a comprehensive overview of the policies, frameworks, and practices essential for effective governance of data science initiatives. Participants will explore the development of data science policy frameworks, roles and responsibilities within data science governance structures, and the integration of data privacy, compliance, and ethics into data science practices. Topics also include data security, risk management, transparent and explainable AI, performance measurement, collaborative governance approaches, and emerging trends in data science governance.

Who This Course Is For:

This course is designed for professionals working in the field of data science, including data scientists, data analysts, data engineers, and data governance specialists. It is also suitable for policymakers, compliance officers, legal professionals, and anyone involved in shaping organizational policies related to data science. Additionally, individuals interested in understanding the ethical, legal, and regulatory considerations surrounding data science initiatives will benefit from this course.