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.
2,055+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ě´ ęłźě ě ëí´
100% ě¨ëźě¸
ě´ëěë íěľ
ęłľě ę°ëĽí ě¸ěŚě
LinkedIn íëĄíě ěśę°
ěëŁęšě§ 2ę°ě
죟 2-3ěę°
ě¸ě ë ěě
ë기 ę¸°ę° ěě
ęłźě ě¸ëśěŹí
⢠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.
⢠Data Privacy Regulations: Overview of global data privacy laws such as GDPR, CCPA, and LGPD. Compliance requirements and best practices for organizations.
⢠Bias and Discrimination in Algorithms: Identifying and mitigating biases in data and algorithms. Addressing social and ethical implications of biased decision-making in analytics.
⢠Data Ownership and Intellectual Property: Legal frameworks around data ownership, stewardship, and intellectual property rights. Balancing proprietary interests with societal benefits.
⢠Responsible Data Sharing: Strategies for secure and ethical data sharing. Balancing collaboration and innovation with privacy concerns.
⢠Ethical Decision-Making in Data Analytics: Developing a framework for ethical decision-making in data analytics. Promoting transparency, accountability, and responsibility.
⢠Data Ethics Communication: Communicating ethical considerations and trade-offs to stakeholders. Building trust and fostering a culture of ethical data practices.
⢠Ethics in AI and Machine Learning: Addressing ethical concerns in AI and machine learning. Ensuring fairness, accountability, and transparency in automated decision-making processes.
⢠Designing Ethical Data Systems: Best practices for designing, developing, and deploying ethical big data systems. Balancing organizational interests with societal well-being.
ę˛˝ë Ľ 경ëĄ
ę˛˝ë Ľ ę˛˝ëĄ ěěą ě¤...
ě í ěęą´
- 죟ě ě ëí 기본 ě´í´
- ěě´ ě¸ě´ ëĽěë
- ěť´í¨í° ë° ě¸í°ëˇ ě ꡟ
- 기본 ěť´í¨í° 기ě
- ęłźě ěëŁě ëí íě
ěŹě ęłľě ěę˛Šě´ íěíě§ ěěľëë¤. ě ꡟěąě ěí´ ě¤ęłë ęłźě .
ęłźě ěí
ě´ ęłźě ě ę˛˝ë Ľ ę°ë°ě ěí ě¤ěŠě ě¸ ě§ěęłź 기ě ě ě ęłľíŠëë¤. ꡸ę˛ě:
- ě¸ě ë°ě 기ę´ě ěí´ ě¸ěŚëě§ ěě
- ęśíě´ ěë 기ę´ě ěí´ ęˇě ëě§ ěě
- ęłľě ě겊ě ëł´ěě
ęłźě ě ěąęłľě ěźëĄ ěëŁí늴 ěëŁ ě¸ěŚě뼟 ë°ę˛ ëŠëë¤.
ě ěŹëë¤ě´ ę˛˝ë Ľě ěí´ ě°ëŚŹëĽź ě ííëę°
댏롰 ëĄëŠ ě¤...
ě죟 돝ë ě§ëŹ¸
ě˝ě¤ ěę°ëŁ
- 죟 3-4ěę°
- 쥰기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- 죟 2-3ěę°
- ě 기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- ě 체 ě˝ě¤ ě ꡟ
- ëě§í¸ ě¸ěŚě
- ě˝ě¤ ěëŁ
ęłźě ě ëł´ ë°ę¸°
íěŹëĄ ě§ëś
ě´ ęłźě ě ëšěŠě ě§ëśí기 ěí´ íěŹëĽź ěí ě˛ęľŹě뼟 ěě˛íě¸ě.
ě˛ęľŹěëĄ ę˛°ě ę˛˝ë Ľ ě¸ěŚě íë
