Executive Development Programme in Data Governance Oversight
-- ViewingNowThe Executive Development Programme in Data Governance Oversight is a certificate course designed to empower professionals with the necessary skills to oversee and manage data governance in their organizations. In today's data-driven world, the demand for data governance experts has never been higher.
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⢠Data Governance Framework • Establishing a data governance framework is crucial for any organization that wants to effectively manage and protect its data. This unit will cover the key components of a data governance framework, including data policies, procedures, and standards.<br> ⢠Data Governance Roles • This unit will explore the various roles and responsibilities within a data governance team, including the data owner, data steward, and data custodian. It will also discuss the importance of clear communication and collaboration between these roles.<br> ⢠Data Quality Management • Ensuring the quality of an organization's data is essential for making informed business decisions. This unit will cover data profiling, data cleansing, and data validation techniques to improve data quality.<br> ⢠Data Security • Protecting sensitive data is a top priority for any organization. This unit will discuss best practices for data security, including access controls, encryption, and incident response planning.<br> ⢠Data Privacy • Compliance with data privacy regulations such as GDPR and CCPA is crucial for organizations. This unit will cover the key principles of data privacy, including data minimization, purpose limitation, and individual rights.<br> ⢠Data Integration • This unit will cover the various data integration techniques, including ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform), and the importance of data mapping and data reconciliation.<br> ⢠Data Architecture • This unit will discuss the various data architecture concepts, including data modeling, data warehousing, and data lake. It will also cover the importance of data lineage and metadata management.<br> ⢠Data Analytics • This unit will cover the various data analytics techniques, including descriptive, diagnostic, predictive, and prescriptive analytics. It will also discuss the importance of data visualization and storytelling.<br> ⢠Data-Driven Culture • This unit will discuss the importance of fostering a data-driven culture within an organization. It will cover the key elements
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