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

• Understand the fundamental concepts of databases and their role in organizational information management.

• Identify different types of databases, their components, and the mechanisms for organizing and managing them.

• Acquire essential skills in designing and building structured and efficient databases.

• Apply fundamental principles of data entry, updating, retrieval, and quality verification.

• Use queries to retrieve required information and systematically analyze data.

• Develop the ability to transform raw data into meaningful information that supports decision-makers.

• Apply data quality standards to ensure accuracy, consistency, and integrity.

• Understand the fundamentals of database security, access control, and backup management.

• Prepare data-driven reports and performance indicators to support organizational performance.

• Promote the effective use of data to contribute to achieving organizational excellence.

Day One: Database Fundamentals and Data Management

• Concepts of data, information, and databases.

• The importance of databases in the modern organizational environment.

• Types of databases and their applications.

• Core components of Database Management Systems (DBMS).

• Tables, records, fields, and relationships.

• The data lifecycle, from collection to utilization and archiving.

• Principles of data governance and management.

Day Two: Database Design and Development

• Fundamental principles of database design.

• Identifying data requirements and user needs.

• Designing tables and defining fields and data types.

• Primary and foreign keys.

• Establishing relationships between tables.

• Principles of data organization and redundancy reduction.

• Practical application: Designing a comprehensive database.

Day Three: Data Querying and Analysis

• The concept of queries and their importance in data management.

• Searching, filtering, and sorting within databases.

• Retrieving data based on specific criteria.

• Using queries to obtain required information.

• Data aggregation, classification, and summarization.

• Identifying key patterns and trends in data.

• Practical applications in data analysis and extracting insights.

Day Four: Data Quality and Database Security

• The concept of data quality and its dimensions.

• Verifying data accuracy, completeness, and consistency.

• Identifying and correcting errors and duplicate data.

• Data cleaning and preparation for analysis.

• Fundamentals of database security and protection.

• User and access privilege management.

• Data backup, recovery, and protection against data loss.

Day Five: Reporting and Transforming Data into Decision-Supporting Information

• Transforming data into actionable information.

• Preparing database-driven reports.

• Selecting appropriate performance indicators and presenting results.

• Principles of Data Visualization.

• Reading and interpreting results to support decision-making.

• Utilizing data to improve performance and achieve organizational excellence.

• Comprehensive practical application: Database Design → Data Analysis → Preparation of a Decision-Supporting Report.