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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)

Advanced

SQL Advanced Tutorial

Welcome to the Advanced level of SQL for Data and Business Analysis Tutorial! Now, you will explore the powerful capabilities of SQL for advanced data analysis, optimization, and automation.

At this level, we’ll explore some of the most powerful features of SQL for data analysis and optimization. First up, we’ll dive into CoginitiScript, which enhances your experience reusing queries and following the same best practices of code organization. They help you automate tasks and simplify complex queries, saving time and increasing efficiency.

We’ll also dig into key metrics such as Retention Rate, Churn, Net Promoter Score, and Customer Satisfaction Score, which are crucial for measuring business success. Following, we’ll cover how to work with SQL on different platforms and learn how to use Index, CREATE INDEX, and DROP INDEX for query optimization.

Finally, we’ve got you covered if you’re dealing with time-based data. We explain the Group by Time and Query Date and Time, enabling you to segment your data into different periods for deeper insights. We also show you how to round timestamps and convert UTC to local time, making working with time-based data across different time zones easy.

With its advanced features for automation, key metric analysis, and time-based analysis, you’ll be prepared to gain deeper insights into your data and empower your business to make informed decisions.