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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)

Intermediate

SQL Intermediate Tutorial

You are at the SQL Intermediate Tutorial for Data and Business Analysts. Congratulations!

You learned the basic SQL commands and operators, how to order data, use parameters in SQL queries, export data, and much more! Now, it is time to get to know the essential concepts and functions for analyzing large datasets.

This intermediate level introduces basic aggregation functions such as SQL Count, Sum, Min/Max, and AVG. After this level, you will perform basic mathematical operations on your data, including counting the number of records, summing up values, finding the minimum and maximum values, and calculating averages. It also covers SQL Group By and Having clauses, which allow you to group data by one or more columns and filter groups based on certain conditions.

The tutorial then moves on to Pivoting and Transposing methods for reorganizing data to analyze it better. Joins and Union are also covered.

The SQL Intermediate Tutorial concludes with an overview of more advanced SQL concepts such as Subqueries, Window Functions, and String Functions. Finally, Charting is introduced as a tool for visualizing your data.