The editors at Solutions Review have compiled this list of the best SQL courses on LinkedIn Learning to consider taking.
SQL (short for structured query language) is a domain-specific language used in programming and is designed for managing data held in a relational database management system. The language is most useful for handling structured data and offers advantages like the concept of accessing many records with one single command and eliminating the need to specify how to reach a record over older read-write APIs.
With this in mind, the editors at Solutions Review have compiled this list of the best SQL courses on LinkedIn Learning to consider taking. The platform is perfect for those looking to take multiple courses or acquire skills in different areas, or for those who want the most in-depth experience possible through access to LinkedIn Learning’s entire course library or learning paths. In sum, LinkedIn Learning offers training in more than 13 distinct categories with thousands of modules. This list of the best SQL courses on LinkedIn Learning below includes links to the modules and our take on each.
The Best SQL Courses on LinkedIn Learning
TITLE: SQL Essential Training
OUR TAKE: This Bill Weinman-led course teaches you working knowledge of the SQL language and shows you how to retrieve and manage data. The module also includes a real-world example of building a simple SQL-powered application.
Description: 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.GO TO TRAINING
OUR TAKE: This course will show you how to get the data you want by writing SQL code, as well as manipulating, merging, group and re-labeling data.
Description: 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.GO TO TRAINING
OUR TAKE: Enterprise architect and big data expert Dan Sullivan helps you learn how to perform common data science tasks like finding, exploring and extracting data within relational databases.
Description: The course begins with a brief overview of SQL. Then the five major topics a data scientist should understand when working with relational databases: basic statistics in SQL, data preparation in SQL, advanced filtering and data aggregation, window functions, and preparing data for use with analytics tools.GO TO TRAINING
OUR TAKE: This course features instructor Ben Sullins and his 12 must-have SQL techniques for data science use cases. This module was designed for engineers, DevOps leaders, data miners, programmers and other system specialists.
Description: 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.GO TO TRAINING
TITLE: SQL for Non-Programmers
OUR TAKE: Instructed by renowned database developer Julianne Thouin, this course shows students how tables in a relational database relate to one another through surrogate, primary, and foreign keys.
Description: In this beginner-level course, instructor Julianne Thouin 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. In conclusion, Julianne shows you how aggregate functions work using the GROUP BY and HAVING clauses.GO TO TRAINING
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