Best SQL Courses on Linkedin Learning
Get started with databases — from choosing your programming language to understanding stored procedures — by watching our Best SQL Courses on Linkedin Learning tutorials. Whether you want to execute a SQL transaction, run SQL queries, or master database administration, these video courses can help you get up and running.
7 Best SQL Courses on Linkedin Learning
Check all the Best SQL Courses on Linkedin Learning and learn the SQL topics that you are needed with one month's free trial.
SQL Essential Training:
Rating: 4.7
SQL Essential Training is designed to help users understand the most common language for database wrangling, SQL. All the lessons have been recorded in SQLiteStudio, an intuitive and easy-to-install database manager.
Instructor Bill Weinman teaches all the major features of SQL: creating tables; defining relationships; manipulating strings, numbers, and dates; using triggers to automate actions; and using subselects and views.
He offers a solid working knowledge of the language and shows how to retrieve and manage data efficiently. The final chapter includes a real-world example of building a simple application using SQL.
SQL: Data Reporting and Analysis:
Rating: 4.7
In this course, learn how to get the data you want by writing a bit of SQL code. You won’t just be able to pull data out of the database; you’ll be able to manipulate it: merging it, grouping it, and relabeling it to get just the report you want.
Join Emma Saunders as she shows how to write simple SQL queries for data reporting and analysis using a publicly accessible online database. Learn how to filter, group, and sort data, using built-in SQL functions to format or calculate results.
Discover how to perform more complex queries, such as joining data together from different database tables. Last but not least, she introduces views, procedures, functions, and variables.
Intermediate SQL for Data Science:
Rating: 4.8
This course was designed for data scientists who need to work with SQL databases. Specifically, it was designed to help these professionals learn how to perform common data science tasks, including exploration and extraction of data within relational databases.
Instructor Dan Sullivan kicks off the course with a brief overview of SQL data manipulation and data definition commands.
He then focuses on how to use SQL queries to prepare data for analysis; leverage statistical functions to better understand that data; and work with aggregates, window operations, and more.
Advanced SQL For Data Scientists:
Rating: 4.7
This course provides a more sophisticated approach to designing data models and optimizing queries in SQL.
Instructor Dan Sullivan begins with the logical and physical design of tables — with particular focus on very large databases — and then presents a deep dive review of indexes, including specialized indexes and when to use them.
The next section introduces query optimization and shows how to optimize basic, multi-join, and more complex queries.
The course also covers SQL extensions, including user-defined functions and specialized data types. The techniques taught here enable more efficient analysis of large data sets using SQL, statistics, and custom business logic.
Programming Databases with T-SQL:
Rating: 4.7
This course focuses on a single category of objects within a SQL Server database: Programmability objects.
With these objects, database developers can automate systems with triggers, ensure consistent user experiences with stored procedures, protect database integrity with transactions, and implement error-handling routines that enhance the database’s functionality.
Join instructor Adam Wilbert as he takes a deep dive into the Programmability folder in a SQL Server database. Using real-world examples, he explores the types of objects that can be deployed to automate systems and maintain database integrity.
Discover how to write stored procedures that include input and output parameters; create scalar- and table-valued user defined functions; execute batches of commands as transactions; and more.
SQL Tips and Tricks for Data Science:
Rating: 4.6
Get Ben Sullins’s 12 must-have SQL techniques for data science pros — engineers, DevOps, data miners, programmers, and other systems specialists.
Ben’s tips focus on practical applications of SQL queries for data analysis. Learn how to retrieve data, join tables, calculate rolling averages and rankings, work with dates and times, use window functions, aggregate and filter data, and much more.
Each tip is short, relevant, and up to date with current industry best practices — making this the perfect course for busy analysts who normally struggle to find time to build their skills.
SQL For Non-Programmers:
Rating: 4.6
Covers basic concepts of relational database design and explains how to write simple SELECT statements using joins and proper filtering. Julianne explains what SQL Server is and what it is used for.
Next, she shows how tables in a relational database relate to one another through surrogate, primary, and foreign keys. Julianne teaches you how to tackle the most basic query possible.
She explains how AND and OR logic applies to filtering queries on more than one data point, then discusses INNER joins and OUTER joins. Julianne covers how to use subqueries for filtering your results.
She walks you through some commonly used examples of built-in functions. In conclusion, Julianne shows you how aggregate functions work using the GROUP BY and HAVING clauses.
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