What does the Data Governance course cover?
Data Governance is covered here in 20 modules: Introduction to Data Governance: Defining data governance and its importance, Data Governance Fundamentals: Data governance frameworks and models, Data Risk Management: Conducting data risk assessments and 17 more. The outline lists 80 specific topics, opening with defining data governance and its importance and closing with reporting on AI performance.
How do you approach Data Governance step by step?
The work is sequenced in 20 stages. It starts with Introduction to Data Governance: Defining data governance and its importance, moves through Data Governance Fundamentals: Data governance frameworks and models and Data Risk Management: Conducting data risk assessments, and ends at Data Governance and Artificial Intelligence (AI): Implementing AI practices.
What is in Module 1 of the Data Governance course?
Module 1 is Introduction to Data Governance: Defining data governance and its importance. It works through defining data governance and its importance, understanding the benefits of data governance, overview of data governance frameworks and standards and 1 more. It sets the vocabulary the remaining 19 modules build on.
How is the Data Governance course delivered?
The Data Governance course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Data Governance course cost?
The Data Governance course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Information Architecture, Agile Contracts, API Management, Vendor Management.
More answers: what you get with every course, refund policy, all help answers.
Mastering Data Governance: A Step-by-Step Guide to Ensuring Data Compliance and Mitigating Risk
Course Overview
This comprehensive course is designed to provide participants with a thorough understanding of data governance and its importance in ensuring data compliance and mitigating risk. Through interactive lessons, real-world applications, and hands-on projects, participants will gain the knowledge and skills needed to implement effective data governance practices in their organization.Course Objectives
- Understand the fundamentals of data governance and its role in ensuring data compliance and mitigating risk
- Develop a comprehensive data governance framework for their organization
- Implement data governance policies, procedures, and standards
- Establish a data governance organization and define roles and responsibilities
- Conduct data risk assessments and develop mitigation strategies
- Monitor and report on data governance performance and compliance
Course Outline
Module 1. Introduction to Data Governance: Defining data governance and its importance
- Defining data governance and its importance
- Understanding the benefits of data governance
- Overview of data governance frameworks and standards
- Case studies: Successful data governance implementations
Module 2. Data Governance Fundamentals: Data governance frameworks and models
- Data governance principles and concepts
- Data governance frameworks and models
- Data governance policies, procedures, and standards
- Data governance organization and roles
Module 3. Data Risk Management: Conducting data risk assessments
- Understanding data risk and its impact on the organization
- Conducting data risk assessments
- Developing data risk mitigation strategies
- Implementing data risk management practices
Module 4. Data Governance Frameworks and Standards: COBIT and data governance
- Overview of data governance frameworks and standards
- COBIT and data governance
- ISO 27001 and data governance
- NIST Cybersecurity Framework and data governance
Module 5. Data Governance Organization and Roles: Data governance staffing and training
- Establishing a data governance organization
- Defining data governance roles and responsibilities
- Data governance committee and working groups
- Data governance staffing and training
Module 6. Data Governance Policies, Procedures, and Standards: Developing data governance policies
- Developing data governance policies
- Creating data governance procedures
- Establishing data governance standards
- Implementing data governance policies, procedures, and standards
Module 7. Data Governance Implementation and Monitoring: Implementing data governance practices
- Implementing data governance practices
- Monitoring data governance performance and compliance
- Conducting data governance audits and assessments
- Reporting on data governance performance and compliance
Module 8. Data Governance and Compliance: Implementing data compliance practices
- Understanding data compliance requirements
- Implementing data compliance practices
- Conducting data compliance audits and assessments
- Reporting on data compliance performance
Module 9. Data Governance and Risk Management: Conducting data risk assessments
- Understanding data risk management practices
- Implementing data risk management practices
- Conducting data risk assessments
- Developing data risk mitigation strategies
Module 10. Data Governance and Business Continuity: Implementing business continuity practices
- Understanding business continuity requirements
- Implementing business continuity practices
- Conducting business continuity audits and assessments
- Reporting on business continuity performance
Module 11. Data Governance and IT Service Management: Implementing IT service management practices
- Understanding IT service management practices
- Implementing IT service management practices
- Conducting IT service management audits and assessments
- Reporting on IT service management performance
Module 12. Data Governance and Cybersecurity: Implementing cybersecurity practices
- Understanding cybersecurity requirements
- Implementing cybersecurity practices
- Conducting cybersecurity audits and assessments
- Reporting on cybersecurity performance
Module 13. Data Governance and Data Quality: Implementing data quality practices
- Understanding data quality requirements
- Implementing data quality practices
- Conducting data quality audits and assessments
- Reporting on data quality performance
Module 14. Data Governance and Data Architecture: Implementing data architecture practices
- Understanding data architecture requirements
- Implementing data architecture practices
- Conducting data architecture audits and assessments
- Reporting on data architecture performance
Module 15. Data Governance and Data Management: Implementing data management practices
- Understanding data management requirements
- Implementing data management practices
- Conducting data management audits and assessments
- Reporting on data management performance
Module 16. Data Governance and Business Intelligence: Implementing business intelligence practices
- Understanding business intelligence requirements
- Implementing business intelligence practices
- Conducting business intelligence audits and assessments
- Reporting on business intelligence performance
Module 17. Data Governance and Big Data: Implementing big data practices
- Understanding big data requirements
- Implementing big data practices
- Conducting big data audits and assessments
- Reporting on big data performance
Module 18. Data Governance and Cloud Computing: Implementing cloud computing practices
- Understanding cloud computing requirements
- Implementing cloud computing practices
- Conducting cloud computing audits and assessments
- Reporting on cloud computing performance
Module 19. Data Governance and Internet of Things (IoT): Implementing IoT practices
- Understanding IoT requirements
- Implementing IoT practices
- Conducting IoT audits and assessments
- Reporting on IoT performance
Module 20. Data Governance and Artificial Intelligence (AI): Implementing AI practices
- Understanding AI requirements
- Implementing AI practices
- Conducting AI audits and assessments
- Reporting on AI performance
Certificate of Completion
Upon completion of this course, participants will receive a Certificate of Completion issued by The Art of Service.Course Features
- Interactive and engaging content
- Comprehensive and up-to-date course materials
- Personalized learning experience
- Practical and real-world applications
- High-quality content and expert instructors
- Certificate of Completion issued by The Art of Service
- Flexible learning options and user-friendly interface
- Mobile-accessible and community-driven
- Actionable insights and hands-on projects
- Bite-sized lessons and lifetime access
- Gamification and progress tracking