What does the Data and Analytics Governance course cover?
Data and Analytics Governance is covered here in 10 modules: Introduction to Data and Analytics Governance: Defining data and analytics governance, Data Governance Frameworks and Standards: COBIT framework for data governance, Data Governance Policies and Procedures: Developing data governance policies and 7 more.
How do you approach Data and Analytics Governance step by step?
The work is sequenced in 10 stages. It starts with Introduction to Data and Analytics Governance: Defining data and analytics governance, moves through Data Governance Frameworks and Standards: COBIT framework for data governance and Data Governance Policies and Procedures: Developing data governance policies, and ends at Case Studies and Best Practices: Best practices for data governance.
What is in Module 1 of the Data and Analytics Governance course?
Module 1 is Introduction to Data and Analytics Governance: Defining data and analytics governance. It works through defining data and analytics governance, understanding the importance of data governance, overview of data governance frameworks and standards and 1 more. It sets the vocabulary the remaining 9 modules build on.
How is the Data and Analytics Governance course delivered?
The Data and Analytics 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 and Analytics Governance course cost?
The Data and Analytics 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: Contract Analytics, Analytics Governance, IT Operations Analytics, HR Analytics.
More answers: what you get with every course, refund policy, all help answers.
Mastering Data and Analytics Governance: A Step-by-Step Guide to Managing Risk and Ensuring Compliance
Course Overview
This comprehensive course is designed to provide participants with a thorough understanding of data and analytics governance, risk management, and compliance. Through interactive lessons, hands-on projects, and real-world applications, participants will gain the knowledge and skills needed to implement effective data governance strategies and ensure compliance with regulatory requirements.Course Objectives
- Understand the importance of data and analytics governance in managing risk and ensuring compliance
- Develop a comprehensive data governance framework
- Implement data governance policies and procedures
- Conduct data risk assessments and develop mitigation strategies
- Ensure compliance with regulatory requirements
- Monitor and report on data governance performance
Course Outline
Module 1. Introduction to Data and Analytics Governance: Defining data and analytics governance
- Defining data and analytics governance
- Understanding the importance of data governance
- Overview of data governance frameworks and standards
- Introduction to data governance roles and responsibilities
Module 2. Data Governance Frameworks and Standards: COBIT framework for data governance
- COBIT framework for data governance
- ISO/IEC 38500:2015 standard for data governance
- NIST Cybersecurity Framework for data governance
- Comparing data governance frameworks and standards
Module 3. Data Governance Policies and Procedures: Developing data governance policies
- Developing data governance policies
- Creating data governance procedures
- Implementing data governance policies and procedures
- Communicating data governance policies and procedures
Module 4. Data Risk Management: Assessing data risks, Identifying data risks
- Identifying data risks
- Assessing data risks
- Developing data risk mitigation strategies
- Implementing data risk mitigation strategies
Module 5. Compliance and Regulatory Requirements: Monitoring and reporting on compliance
- Overview of compliance and regulatory requirements
- Understanding GDPR, HIPAA, and other data protection regulations
- Ensuring compliance with regulatory requirements
- Monitoring and reporting on compliance
Module 6. Data Governance Roles and Responsibilities: Identifying data governance stakeholders
- Defining data governance roles and responsibilities
- Understanding the role of the data governance officer
- Identifying data governance stakeholders
- Communicating data governance roles and responsibilities
Module 7: Data Governance Performance Monitoring and Reporting
- Defining data governance performance metrics
- Monitoring data governance performance
- Reporting on data governance performance
- Using data governance performance metrics to improve data governance
Module 8. Implementing Data Governance: policies and procedures
- Developing a data governance implementation plan
- Implementing data governance policies and procedures
- Conducting data governance training and awareness
- Monitoring and evaluating data governance implementation
Module 9. Advanced Data Governance Topics: Data governance and blockchain
- Data governance and artificial intelligence
- Data governance and blockchain
- Data governance and cloud computing
- Data governance and Internet of Things (IoT)
Module 10. Case Studies and Best Practices: Best practices for data governance
- Real-world case studies of data governance implementation
- Best practices for data governance
- Lessons learned from data governance implementation
- Data governance benchmarking and maturity assessment
Course Features
- Interactive and engaging: Interactive lessons, hands-on projects, and real-world applications
- Comprehensive: Covers all aspects of data governance, risk management, and compliance
- Personalized: Participants can ask questions and receive feedback from instructors
- Up-to-date: Course content is updated regularly to reflect the latest developments in data governance
- Practical: Participants can apply course concepts to real-world scenarios
- Real-world applications: Case studies and examples from real-world organizations
- High-quality content: Course content is developed by expert instructors with extensive experience in data governance
- Expert instructors: Instructors have extensive experience in data governance and related fields
- Certification: Participants receive a certificate upon completion of the course
- Flexible learning: Participants can complete the course at their own pace
- User-friendly: Course platform is easy to use and navigate
- Mobile-accessible: Course content is accessible on mobile devices
- Community-driven: Participants can interact with each other and with instructors through online forums
- Actionable insights: Participants can apply course concepts to real-world scenarios
- Hands-on projects: Participants complete hands-on projects to apply course concepts
- Bite-sized lessons: Course content is divided into bite-sized lessons for easy learning
- Lifetime access: Participants have lifetime access to course content
- Gamification: Course includes gamification elements to make learning fun and engaging
- Progress tracking: Participants can track their progress through the course