# SQL Bootcamp

Canonical URL: <https://www.graduateschool.edu/courses/sql-bootcamp>

## Overview

In this hands-on SQL course, you’ll learn to transform raw database information into actionable insights by writing queries to filter, group, and combine data.

Using PostgreSQL and the free DBeaver app, you’ll practice JOINs, aggregate functions, and subqueries to extract and analyze information. The skills you gain will also transfer easily to other SQL systems like Microsoft SQL Server and MySQL, giving you a versatile foundation in database management.

## What you'll learn

- Explore information stored in a database (tables, columns, rows, etc.) using the graphical interface of DBeaver, a popular free database app.
- Write SQL queries to retrieve data from tables in the database
- Combine information from multiple tables using JOIN statements
- Filter data, group it, and sort it to extract the specific information you need
- Master advanced techniques, including subqueries, string functions, and IF‑Else logic with CASE
- Learn how to use views and functions with parameters instead of directly querying tables

## Curriculum

### Foundations of SQL & Databases

#### SQL Fundamental Concepts

- What is SQL & why is it used?
- Flavors of SQL: Postgres vs SQL Server, etc.
- Database Tables, Rows, & Columns
- Using ER (Entity Relationship) Diagrams to visual what’s in a database

#### Exploring Databases & Writing SQL Statements (using the free DBeaver app)

- Connecting to a Database
- Database Navigator
- SQL Query Editor
- Using Code Hints
- Viewing the Results of your SQL query
- Setting Preferences

### Writing SQL Queries

#### Writing SELECT Statements

- Syntax of a SELECT statement
- Selecting all columns or specific columns from a table
- Limiting the number of results using LIMIT
- Ordering the results using ORDER BY
- Returning only DISTINCT records (eliminating duplicates)

#### Filtering Results

- Data Types (Strings vs Numbers)
- Comparison Operators: equal to, greater or less than, not equal to, etc.
- Filtering results using WHERE, AND, OR, IN, and NOT
- Pattern Matching: Wildcard Filters
- Case Sensitivity

### Using Joins to Combine Data from Multiple Tables

#### Understanding Table Relationships

- What are Primary vs Primary Keys
- Database Relations: One-to-One, One-to-Many, & Many-to-Many

#### Inner Joins

- The difference between Inner & Outer Joins
- Inner Joins
- Column & Table Aliases

#### Outer Joins & Finding NULLs

- Left Join
- Right Join
- Full Join
- Find NULL values

### Manipulating, Aggregating, & Filtering Data

#### Using CAST to Change Data Types

- Why and how to use CAST to make a data type fit your query’s needs

#### Aggregate Functions

- Using Aggregate Functions to perform common statistical calculations
- Using SUM, COUNT, AVG, MAX & MIN

#### Working with Dates & Time

- Date Functions: Getting the desired part of a date/time (Year, Month, Day, etc.)
- Formatting dates, including the day of the week (Sunday, Monday, etc.)
- Calculating the difference between 2 dates

### Grouping Data & Filtering Grouped Data

#### Grouping Data with Aggregate Functions

- Using GROUP BY to organize results into categories
- Applying Aggregate Functions to groups

#### Filtering Grouped Data with HAVING

- Using HAVING to filter the results of a GROUP BY
- HAVING vs WHERE

### Advanced Query Techniques

#### Subqueries

- Subqueries: Queries within queries
- Single-Value vs Multi-Value vs Table-Value Subqueries

#### Aggregate Window Functions

- Using OVER and PARTITION BY to apply Aggregate Functions

#### Conditionals with CASE

- Adding If-Else Logic with CASE
- Simple CASE vs Searched CASE

#### String Functions

- Manipulating text using string functions
- Using SUBSTRING, SPLIT\_PART, UPPER, etc.

#### Self Join

- How a Self Join is different from other types of joins
- Using a Self Join

### Views & User-Defined Functions

#### Views

- What are Views?
- The Advantages & Disadvantages of using Views
- How to Use & Query a View

#### Materialized Views

- The difference between regular Views and Materialized Views

#### User-Defined Functions

- Using Scalar-Value (Single-Value) Functions
- Using Table-Value Functions

## Schedule
- Jun 1, 2026 – Jun 3, 2026 — Live Online
- Jun 28, 2026 – Jul 19, 2026 — Live Online
- Jul 14, 2026 – Jul 30, 2026 — Live Online
- Jul 20, 2026 – Jul 22, 2026 — Live Online
- Sep 8, 2026 – Sep 10, 2026 — Live Online
- Oct 26, 2026 – Oct 28, 2026 — Live Online
- Oct 27, 2026 – Nov 12, 2026 — Live Online
- Nov 15, 2026 – Dec 6, 2026 — Live Online

## Pricing

**Tuition:** $975

Payment options: GI Bill accepted.