Access – Part 1
- Course Duration
- 2 Days
Need Group Training
Course Description
Professionals using advanced query design techniques complete complex data retrieval tasks up to 40% faster and with greater accuracy than those relying only on basic tools. The Microsoft Access Training – Access Part 2 course equips you with the advanced features, queries, reports, and relational design practices, that make this level of efficiency possible.
In this course, you will expand your knowledge of relational database design, promote quality input from users, and learn how to improve database efficiency while strengthening data integrity. You’ll also implement advanced features in tables, queries, forms, and reports, giving you the ability to build databases that are more reliable, usable, and scalable.
The training focuses on optimization of Access databases, including performance tuning, normalizing data, applying data validation rules, and improving usability.
Course Objective
After completing this Microsoft Access training course, you will be able to:
- Navigate within the Access environment, create a simple database, and customize options.
- Organize and manage data stored within Access tables.
- Use queries to join, sort, and filter data across multiple tables.
- Design forms to simplify data entry and review.
- Create and format custom reports for professional output.
- Apply validation techniques to ensure data accuracy and integrity.
Course Outline
Getting Started with Access
- Launch Access and open a database
- Use tables to store data
- Use queries to combine, find, filter, and sort data
- Use forms to view, add, and update data
- Use reports to present data
Creating Tables
- Plan an Access database
- Start a new Access database
- Create a new table
- Establish table relationships
Creating Queries
- Create basic queries
- Perform calculations in a query
- Sort and filter data in a query
Creating Forms
- Start a new form
- Enhance a form
Creating Reports
- Start a new report
- Enhance report layout
Promoting Quality Data Input
- Restrict data input through field validation
- Restrict data input through forms and record validation
Improving Efficiency and Data Integrity
- Data normalization
- Associate unrelated tables
- Enforce referential integrity
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