Understand relational basics - You will build solid database foundations and clearly distinguish relationships, tables, rows, columns, primary keys, and foreign keys, making data structures much easier to read and use.
Write accurate queries - You will create SELECT queries with WHERE, ORDER BY, TOP, HAVING, and subqueries on your own, so you can filter, sort, and group data quickly for a specific business need.
Combine data effectively - You will learn how to merge information from multiple tables and use set-based operations, which will help you build more complete reports and draw better conclusions from your data.
Use SQL functions - You will practice date, time, text, math, and logical functions and operators, so you can write more precise queries and transform results into a form ready for further analysis.
Work confidently in SQL Server - You will run core queries in a SQL Server environment, which will make it easier to start working with databases in everyday tasks and feel more confident in typical analytical work.
Create views and tables - You will learn how to define, modify, and query views, as well as create and alter tables, choose data types, use auto-numbering, and enforce consistency with database constraints.
Design a better database - You will learn how to prepare a database step by step and understand the pros and cons of normalization and denormalization, helping you build cleaner and easier-to-maintain solutions.
Handle full data operations - You will practice INSERT, UPDATE, and DELETE on real examples such as inventory, invoicing, and retail scenarios, making it much easier to apply SQL syntax to real job tasks.
At the foundation of database work are the concepts that describe how information is organized and connected. This section explains tables, rows, columns, tuples, relationships, and the role of primary and foreign keys in linking data across structures.
SELECT statements form the basis for retrieving information, and here they are expanded with practical filtering and shaping techniques. The material includes WHERE, ORDER BY, TOP, HAVING, subqueries, and set-based combinations used to compare, limit, and classify result sets.
SQL functions and operators are used to transform values, evaluate conditions, and calculate results inside queries. The section covers date and time, mathematical, text, and logical elements, showing how they support filtering, formatting, and expression building.
Using SQL Server as the working environment, this section develops the ability to write and run basic queries against relational data. It establishes the practical habits needed to execute statements correctly, inspect results, and navigate the database context.
Views provide a way to encapsulate queries and present selected data without duplicating tables. Participants work with defining views, changing them when requirements evolve, and querying them as part of everyday database access.
Before querying and modifying data, it is necessary to understand how a relational database is prepared step by step. This part explains normalization and denormalization, comparing their advantages and drawbacks in terms of structure, redundancy, and practical use.
Table design is addressed through CREATE and DROP statements, selection of data types, and automatic row numbering. Attention is also given to joins, integrity constraints, and the impact of structure choices on query optimization and database consistency.
Working directly on table data, participants practice the core DML operations used in relational databases. The section focuses on inserting new rows with INSERT, changing existing records with UPDATE, and removing data with DELETE while maintaining control over intended changes.
Exercises are built around familiar database scenarios such as a telephone directory, e-learning platform, invoice register, warehouse, and a store offering products and services. These cases help connect SQL syntax with table structures, relationships, and everyday data operations.
Basic computer skills - You should be comfortable using an operating system, opening programs, switching between windows, and saving files, so you can focus on SQL rather than basic computer use.
Basic data awareness - You should understand simple data lists, records, and fields in basic datasets, so moving to tables, rows, columns, and relationships in a database will be much easier.
Logical thinking - You should be able to analyze conditions and dependencies, because during the course you will filter data, join tables, and build queries based on specific criteria.
Readiness for practice - You should be ready to complete short hands-on tasks on your own, because the training includes writing queries and performing data operations on realistic examples.
