DATA Science Management based on DMBOK Framework

What you'll learn
Exploring the importance and practical application of data management in organizations
Familiarization with the responsibilities, capabilities, and competencies of a data manager in organizations
Understanding various data management models and their strengths and weaknesses
Understanding the data lifecycle and its management
Learning the key components of the DMBOK framework
Understanding implementation strategies, practical concepts, and execution stages of data management in organizations
Requirements
Basic familiarity with process concepts
Description
Given the critical importance of data in today's world, having a robust management system capable of properly governing data within an organizational is essential. This training Course begins by reviewing and comparing the most important existing models and perspectives in the field of data management, highlighting their advantages and disadvantages. it then presents in full detail the most comprehensive model-one that treats data as an asset throughout its entire Data Life Cycle. A key strength of this course is its problem-solving approach in both design and delivery. All theoretical concepts are delivered through practical workshops, and several real-world case studies are analyzed to deepen understanding contexts. Additionally, proven implementation methods and techniques are covered to maximize practical applicability. The program is fully based on the Second edition of the DAMA-DMBOK Frameworks from DAMA international and comprehensively covers all 11 Knowledge Areas within Data Lifecycle Management.This course consists of +17 hours (46 Videos) of training, structured into 15 educational topics, as follows:1. What is Data & Data Management, and Why is It Important?2. What is Data Management (DM) & the Body of Knowledge (BOK)?3. Who is Responsible for Data Management, and What is Their Role?4. What is DMBOK?5. Application of DMBOK in BusinessData GovernanceData ArchitectureData Modeling & DesignData StorageETL (Data Integration & Interoperability)Data SecurityReference & Master Data ManagementMetadata ManagementBusiness Intelligence (BI) & Data WarehousingData Quality ManagementDocument & Content Management6. Workshop 17. Recommended Activities & Roles in DMBOK Knowledge Areas8. Workshop 29. Practical Application of Knowledge Area Actions10. Case Study 111. Case Study 212. Workshop 313. Overview of DMBOK Tools14. How to Implement DMBOK?15. Practical Tips in DMBOK and Its Knowledge AreasFortunately, I have developed a well-structured End-to-End educational roadmap in this domain. One of the upcoming courses in this roadmap is DSBOK (Data Science Body of Knowledge), which will be available to learners as soon as possible.Artificial intelligence avatars have been used in limited parts of this training course such as the Video Promotion and Video Section summary.We look forward to your participation and engagement in this learning journey.
Who this course is for
IT Dep Owner or Manager
Business Owner or Manager
DATA Governance, Management, Architecture Owner or manager
Process, Product and Service Owner and manager
Business Analysis Manager
Enterprise Architecture and Engineering
Homepage

https://www.udemy.com/course/data-science-management-based-on-dmbok-framework/

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