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SQL Tutorials

Keep up to date with the latest techniques and resources for SQL Server. Our tutorials are full of free SQL Server training tips to help you learn, build, & grow.
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MySQL in Python Tutorial: Getting Started

In this tutorial, you'll learn how to install MySQL, create databases, and create tables, along with much more.

April 14, 2023

Building Data Pipelines using R

Learn how to transform and load (ETL) a data pipeline from scratch using R and SQLite to gather tweets in real-time and store them for future analyses.

October 3, 2019

SQL Interface within JupyterLab

Learn how to use and modify SQL tables within JupyterLabs.

July 23, 2019

User Defined Stored Procedures in SQL

Learn how to use and apply the user-defined stored procedure along with examining different types of stored procedures in SQL.

July 15, 2019

Materialized Views in PostgreSQL

Learn how to store the results of a query with the help of materialized views in PostgreSQL.

May 2, 2019

Cleaning Data in SQL

In this tutorial, you'll learn techniques on how to clean messy data in SQL, a must-have skill for any data scientist.

April 24, 2019

SQLite in R

In this tutorial, you will learn about using SQLite, an extremely light-weight relational database management system (RDBMS) in R.

April 19, 2019

Data Visualization with Power BI

Learn how to analyze and display data using Power BI and make better, more data-driven decisions.

August 30, 2024

Aggregate Functions in SQL

Learn how to use aggregate functions for summarizing results and gaining useful insights about data in SQL.

April 17, 2019

CASE Statements in PostgreSQL

In this tutorial, you'll learn how to write conditional queries in PostgreSQL using the PostgreSQL CASE conditional expression.

April 3, 2019

10 Command-line Utilities in PostgreSQL

In this tutorial, learn about 10 handy command-line utilities in PostgreSQL which can enable you to interact with databases efficiently.

March 29, 2019

SQL with Power BI

In this tutorial, you'll learn how to connect Power BI to a Microsoft SQL Server database and then analyze the data to get insights.

March 28, 2019