Certified Data Management Professionals-(CDMP) (Self Paced)

By the end of this program, participants will be able to:

• Understand the Fundamentals of Data Management – Learn the key principles and concepts of data management.
• Design Effective Data Models – Develop the ability to design and implement data models aligned with business requirements.
• Ensure Data Quality and Governance – Develop strategies to maintain data integrity and compliance with regulatory standards.
• Manage Databases Effectively – Learn how to select, implement, and manage database management systems (DBMS).
• Establish Metadata and Master Data Frameworks – Develop strategies to manage and use metadata and reference data effectively.
• Implement Data Storage and Retrieval Strategies – Learn how to optimize data storage and retrieval processes for operational efficiency.
• Integrate and Consolidate Data – Develop the ability to integrate data from multiple sources to create a unified data environment.
• Use Business Intelligence Tools – Learn how to apply data analysis and business intelligence tools for strategic decision-making.
• Ensure Data Security and Privacy – Develop techniques to protect sensitive data and ensure compliance with data privacy regulations.
• Leverage Big Data and Data Analytics – Learn how to analyze large datasets to identify trends and generate insights.

Modules: 

M-1: Introduction to Data Management

M-2: Data Modeling and Design

M-3: Data Governance and Quality Management

M-4: Database Management Systems

M-5: Metadata Management

M-6: Master and Reference Data Management

M-7: Document and Content Management

M-8: Data Storage and Operations

M-9: Data Warehousing and Business Intelligence

M-10: Data Integration and Interoperability

M-11: Big Data and Data Analytics

M-12: Data Security and Privacy

Upon completing the program, participants will be able to:

• Develop and implement a data management strategy aligned with business goals.
• Design and manage data models and database systems.
• Maintain data quality and ensure regulatory compliance.
• Optimize data storage and retrieval processes.
• Integrate data from multiple sources and ensure data consistency.
• Use business intelligence tools to generate actionable insights.
• Manage metadata, master data, and reference data effectively.
• Secure sensitive data and prevent unauthorized access.
• Use big data tools and analytics to improve decision-making.
• Develop strategies to enhance data governance and business performance.

This program is Validated and Quality Assured by Cambridge Academy of Professionals (CAP) UK. [www.acbrimdgeacademy.uk/]

Features:
Duration: 4 Months
Short Video Materials: Yes
Mode of Learning: Self-Paced

Post Completion:

• Electronic Certificate
• Digital Badge via Credly.com
• Printed Certificate available

Exam Method:

• Number of Exams: 01
• Number of Questions: 50 MCQ Questions
• Duration: 60 Minutes
• Total Marks: 100
• Pass Mark: 70%

Assignment: 

• Total Assignments: 05
• 01 Pre-Course Assignment (Learning Purpose)
• 03 Class Based Assignment
  • Total Marks: 100
  • Pass Mark: 70%
• 01 Capstone Projects
  • Total Marks: 100
  • Pass Mark: 70%

Name: James Mwangi
Designation: Data Analyst
Country: Kenya
"The course gave me a strong understanding of data modeling and database management, which helped me improve our data systems."

Name: Abigail Mensah
Designation: Data Governance Officer
Country: Ghana
"Learning about data quality and governance improved my ability to create consistent and accurate data records."

Name: David Banda
Designation: Business Intelligence Manager
Country: South Africa
"The business intelligence and data analysis modules helped me generate valuable insights for business growth."

Name: Sarah Okeke
Designation: Data Architect
Country: Nigeria
"The course’s focus on data security and privacy gave me the tools to protect sensitive data and comply with regulations."

Name: Joseph Kamau
Designation: Database Manager
Country: Tanzania
"The practical approach to database management and data integration helped me create more efficient data storage systems."

• Data Management and Governance
  • Ability to create and maintain data management frameworks.
• Data Modeling and Design
  • Skill in designing data models to meet business requirements.
• Database Management
  • Expertise in implementing and managing database systems.
• Data Quality and Integrity
  • Ability to maintain accurate and consistent data across the organization.
• Data Integration and Interoperability
  • Skill in combining data from different sources and ensuring consistency.
• Big Data and Analytics
  • Proficiency in using big data tools and analytical techniques.
• Data Security and Privacy
  • Expertise in protecting sensitive data and ensuring regulatory compliance.
• Business Intelligence
  • Ability to analyze data and generate strategic insights for business growth.