Executive Development Programme in Ethics of Big Data and Analytics
-- ViewingNowThe Executive Development Programme in Ethics of Big Data and Analytics is a certificate course designed to address the growing need for ethical responsibility in the field of big data and analytics. This programme emphasizes the importance of ethical decision-making in managing and analyzing large data sets, ensuring that learners are equipped with the skills necessary to navigate the complex ethical landscape of data-driven business.
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Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Ethical Foundations in Big Data and Analytics: Understanding the ethical implications of data collection, storage, and analysis. Examining the role of privacy, consent, and transparency in big data.
โข Data Privacy Regulations: Overview of global data privacy laws such as GDPR, CCPA, and LGPD. Compliance requirements and best practices for organizations.
โข Bias and Discrimination in Algorithms: Identifying and mitigating biases in data and algorithms. Addressing social and ethical implications of biased decision-making in analytics.
โข Data Ownership and Intellectual Property: Legal frameworks around data ownership, stewardship, and intellectual property rights. Balancing proprietary interests with societal benefits.
โข Responsible Data Sharing: Strategies for secure and ethical data sharing. Balancing collaboration and innovation with privacy concerns.
โข Ethical Decision-Making in Data Analytics: Developing a framework for ethical decision-making in data analytics. Promoting transparency, accountability, and responsibility.
โข Data Ethics Communication: Communicating ethical considerations and trade-offs to stakeholders. Building trust and fostering a culture of ethical data practices.
โข Ethics in AI and Machine Learning: Addressing ethical concerns in AI and machine learning. Ensuring fairness, accountability, and transparency in automated decision-making processes.
โข Designing Ethical Data Systems: Best practices for designing, developing, and deploying ethical big data systems. Balancing organizational interests with societal well-being.
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