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SQL Tutorial
Data Modeling and Architecture Terminology Guide
A Brief History of SQL and its Usefulness
What are Different Types of Databases?
Writing SQL in Coginiti
Beginner
SQL Select
SQL Limit
SQL Where
SQL Create Table & Insert Into
SQL Comparison Operators
SQL Logical Operators
SQL In
SQL Like
SQL Is Null
SQL Between
SQL And, Or
SQL Not
SQL Order by
Export Data
Create a Table
Drop a Table
Create a View
SQL Parameters
Drop a View
Rename a Table
SQL Delete
Add a Column
Drop a Column
SQL Update
SQL Insert
Rename a Column
Intermediate
SQL Aggregate Functions
SQL Count
SQL Sum
SQL Min/Max
SQL Average
SQL Group by
SQL Case
SQL Having
Pivoting Data
Transpose Data
SQL Join
SQL Distinct
SQL Joins on Multiple Keys
SQL Union
Data Types
Precision and Scale
Subqueries
SQL Date Formats
Snowflake Advanced Date Formatting
Redshift TO_CHAR for Dates
BigQuery Date Formatting Functions
SQL Window Functions
Charting
String Functions in SQL
A Quick Guide to Pivoting Data
Advanced
Databricks SQL Functions
Trino Advanced SQL
CoginitiScript Macros
Churn Rate
Index in SQL
Query Date and Time
Group by Time
Round Timestamps
Get the First Row per Group
CoginitiScript Constants
Analysis
Coalesce in SQL
Calculating Percentiles
How to Do Type Casting
Import a CSV
Compare Values When One Is Null
How to Query a JSON Column
How to Write a Case Statement
How to Have Multiple Counts
Using a Common Table Expression (CTE)
Calculate Cumulative Sum (Running Total)

Beginner

Welcome to the Beginner SQL Tutorial for Data and Business Analysts!

Here you’ll find a comprehensive overview of SQL, starting with an introduction to what it is and how it works. From there, we’ll guide you to SQL commands and operators, such as SELECT, LIMIT, WHERE, LIKE, IN, BETWEEN, IS NULL, AND, OR, and NOT.

You will learn to order data with ORDER BY, use parameters in SQL queries, and export data. The tutorials will also cover creating and dropping tables and views and renaming tables and columns.

Then, we delve into filtering data using the SQL WHERE clause, including using comparison operators and logical operators to refine queries. Plus, we cover the SQL LIKE operator for pattern matching and the SQL IN and SQL BETWEEN operators for selecting ranges of values.

The tutorials are easy to follow, and there are query examples you can copy and paste. Whether you are a beginner or need a refresher, these articles will equip you with the skills to work with SQL databases.