• Understand the fundamentals of relational databases and how Microsoft Access is used for data management.  

• Learn to create and design tables with appropriate data types, keys, and relationships. 

• Develop the ability to build and run queries to filter, sort, and analyze business data effectively. 

• Gain skills in creating user-friendly forms for accurate and efficient data entry. 

• Design and customize professional reports for data visualization and decision-making.  

• Apply data validation and integrity rules to maintain accurate and consistent records. 

• Use macros and automation to simplify repetitive database tasks and reporting processes. 

• Integrate data between Microsoft Access, Excel, and other applications for seamless analysis. 

• Work on real-world database projects that simulate business data management needs. 

• Build practical, job-ready skills for careers in data analysis, reporting, and office database management. 

Basic Computer Knowledge: Familiarity with Windows operating systems, file management, and general computer usage is required. 
• Understanding of Data or Spreadsheets: Prior experience with Microsoft Excel or similar tools will make it easier to grasp database concepts. 
• No Prior Database Experience Needed: The course starts with the fundamentals of Microsoft Access and gradually progresses to intermediate-level topics. 

This training will equip you for the following job roles and career paths:  

• Data Analyst 

• Reporting Specialist 

• Database Assistant 

• Office Administrator 

• Business Analyst 

• Data Entry and Records Management Professional 

• Administrative Support Specialist 

• Information Management Coordinator 

• Operations or Project Assistant (Data-Focused) 

• MS Access Developer (Entry-Level) 

Module 1: Introduction to Microsoft Access
• Overview of databases and Microsoft Access
• Understanding tables, queries, forms, and reports
• Navigating the Access interface and database templates 

Module 2: Designing and Creating Tables
• Creating tables and defining data types
• Setting primary keys and relationships
• Understanding field properties and data validation rules 

Module 3: Working with Queries
• Creating and running select queries
• Filtering and sorting data using criteria
• Using calculated fields and parameter queries
• Performing action queries (update, append, delete) 

Module 4: Building Forms for Data Entry
• Designing user-friendly data entry forms
• Using form controls and formatting techniques
• Creating navigation forms for easier workflow 

Module 5: Creating Reports and Summaries
• Building reports for data presentation and analysis
• Adding grouping, sorting, and calculated controls
• Designing professional, print-ready reports 

Module 6: Relationships and Data Integrity
• Establishing relationships between tables
• Enforcing referential integrity and cascade options
• Understanding one-to-many and many-to-many relationships 

Module 7: Data Management and Import/Export
• Importing and linking data from Excel and other sources
• Exporting reports and tables to different formats
• Backing up and compacting databases for performance 

Module 8: Macros and Automation
• Introduction to macros and automation in Access
• Creating simple macros for data operations
• Automating reports, forms, and repetitive tasks 

Module 9: Practical Business Scenarios
• Designing a complete database solution for a business case
• Querying and reporting for decision support
• Applying best practices in data organization and reporting