Day 1: Foundations of Data Management

• Introduction: The importance of data management in the digital age and its impact on business success.
• Data Lifecycle Management (DLM): Understanding the different stages of data, from creation to archiving.
• Data Quality Fundamentals: Defining data quality standards and implementing data cleaning techniques.
• Data Governance Framework: Establishing a framework for data ownership, access control, and data security.

Day 2: Data Acquisition & Integration Strategies

• Data Collection Techniques: Exploring various methods for data collection from internal & external sources.
• Data Integration: Mastering strategies to combine data from diverse formats and sources into a unified system.
• Data Warehousing & Business Intelligence (BI): Understanding the role of data warehouses and BI tools for data analysis.

Day 3: Data Modelling & Design

• Data Modelling Fundamentals: Conceptual, logical, and physical data models for efficient data organisation.
• Entity-Relationship Diagrams (ERDs): Visual representations of data relationships between entities and attributes.
• Data Normalization Techniques: Minimizing data redundancy and corruption for optimal data integrity.

Day 4: Data Security & Access Control

• Data Security Threats: Understanding common data security risks and implementing data protection measures.
• Access Control Mechanisms: Developing user roles and permissions for secure data access and management.
• Data Encryption & Anonymization: Learning techniques to secure sensitive data and protect privacy.
• Data Backup & Disaster Recovery: Creating robust strategies for data backup, recovery, and business continuity.

Day 5: Data Analytics & Visualization

• Introduction to Data Analytics: Exploring different data analytics techniques to extract valuable insights from data.
• Introduction to Data Visualization Tools: Learning to create compelling data visualisations for effective communication.
• Storytelling with Data: Developing skills to communicate complex data insights to stakeholders clearly and concisely.
• The Future of Data Management: Emerging trends in data management, including Big Data, Cloud Computing, and Artificial Intelligence (AI).