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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)

Analysis

SQL Analysis Tutorial

Welcome to the Analysis level of SQL for Data and Business Analysis Tutorial! Now you’ll learn the essentials to take your career to a higher level.

The analysis section of this tutorial covers a range of topics that can help you become more proficient in SQL. One of the key concepts discussed is using the Coalesce function, which is useful when handling NULL values in your data. Speaking of which, you’ll also learn how to compare two values when one is NULL.

When analyzing data over time or across different groups, you may need to get the first row per group or know how to avoid gaps in data.

It also discusses how to do type casting in SQL, which is useful when changing the data type of a column. You’ll learn to use common table expressions (CTE) to simplify complex queries and make them more readable.

The tutorial also covers writing a case statement, useful when creating conditional logic in your queries. Finally, we will discuss how to query a JSON column, which is becoming increasingly common as more data is stored in JSON format.