11 Best SQL Courses On LinkedIn Learning For Learning Databases [2020] – dev.Count

Have you been looking for the best SQL courses on LinkedIn Learning?

If your answer is yes then you are in the right place.

With businesses of all sizes churning out an incredible amount of data, there is a huge demand for skills that will not only help collect and store this data but also analyze it to make informed decisions. 

SQL is one of the essential tools in a data scientist’s toolbox and a gateway to data science jobs. 

In addition, SQL works with many of the popular relational database management systems like: 

  • MySQL
  • MariaDB
  • PostgreSQL 
  • Microsoft SQL Server
  • Oracle Database

And that’s regardless as to whether you’re running your database in the cloud or on-premises.

So, whether you are a developer looking to pick up a new skill or a greenhorn, I have rounded up some of the best SQL courses on LinkedIn Learning to help you master your skills.

But before we get into much details about these courses, here are quick links to the courses…

1. SQL Essential Training (2018) Online Class 218, 060
2. Learning SQL Programming 163, 496
3. Advanced SQL for Data Scientists 103, 945
4. SQL Essential Training 91, 129
5. Programming Foundations: Databases 83, 932
6. SQL Tips, Tricks, & Techniques Online Class 73, 382
7. Advanced SQL for Query Tuning and Performance Optimization 31, 604
8. SQL: Data Reporting and Analysis 28, 434
9. Advanced SQL for Data Science: Time Series 12, 132
10. Introduction to Spark SQL and DataFrames Online Class 7, 345
11. SQL Server: Security, Encryption, and Masking 4, 221

In these courses on LinkedIn, we are going to look at what each course offers, the number of students enrolled, and when each course was released.

Whatever database application you create, whether it’s for bookkeeping, sales, inventory, or even the lowly to-do list, it’s all about the data

Completely updated for 2018, SQL Essential Training on LinkedIn is designed to help users understand the most common language for database wrangling, SQL. 

The instructor Bill Weinman, teaches all the major features of SQL: 

  • Creating tables
  • Defining relationships
  • Manipulating strings, numbers, and dates
  • Using triggers to automate actions
  • Using subselects and views

He offers a solid working knowledge of the language and shows you how to retrieve and manage data efficiently. 

The final chapter includes a real-world example of building a simple and complete database application using SQL.

Duration: 3 hours 17 min.

Level: Beginner.

Students: 218, 060.

Released: 2, July 2018. 

SQL (Structured Query Language) is a common tool for retrieving data from relational databases such as SQL Server, MySQL, MariaDB, and PostgreSQL. 

This course on LinkedIn Learning provides an introduction to this core programming language. 

You will learn how to request data from a server, limit and sort the responses, aggregate data from multiple tables with joins, edit and delete data. 

The instructor Scott Simpson also shows you how to perform simple math operations and transform data into different formats.

Some of the learning objectives that make it one of the best SQL courses on LinkedIn Learning are:

  • Naming the predicate of the following statement: SELECT EyeColor, Age FROM Student WHERE FirstName = ‘Tim’ ORDER BY LastName ASC;
  • Explaining what to use to enforce the order in which an expression must be evaluated if the WHERE clause contains multiple expressions to evaluate.
  • Identifying the best option to join two tables in a database to be able to display data from both.
  • Listing a data type that is not numeric.
  • Determining the result of running the following statement on a table containing columns col_1 and col_2:
  • INSERT INTO Box (col_1, col_2) VALUES (‘A’, ‘B’), (‘A’, ‘B’), (‘A’, ‘B’), (‘A’, ‘B’);
  • Determining the best approach of deleting Jon Ramirez (ID 3452) from a Student table.

This is a FREE course on LinkedIn.

Duration:  1 hour 27 minutes.

Level: Beginner.

Students: 163, 496.

Released: 15, August 2017.

There is an increasing need for data scientists and analysts to understand relational data stores

Organizations have long used SQL databases to store transactional data as well as business intelligence related data. 

If you need to work with SQL databases, this course on LinkedIn is designed to help you learn how to perform common data science tasks, including: finding, exploration, and extraction within relational databases.

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
  • Preparing data for use with analytics tools

And this is the main reason why it appears as one of the best SQL courses on LinkedIn Learning.

Duration: 1 hour 24 minutes.

Level: Advanced.

Students: 103, 945.

Released: 22, May 2017.

In this LinkedIn course, you’ll get Ben Sullins 12 must-have SQL techniques for data science pro-engineers, DevOps, data miners, programmers, and other system specialists. 

Ben’s tips focus on practical applications of SQL queries for data analysis

The course shows you 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 in this course is short, relevant, and up to date with current industry best practices.

Making it another best SQL course on LinkedIn Learning for busy analysts who normally struggle to find time to build their skills.

Duration: 59 minutes 23 seconds.

Level: Intermediate.

Students: 73, 382.

Released: 29, November 2016.

Knowing how to code and manage relational databases and database-driven applications is a valuable skill for any career in tech. 

Completely updated for 2019, SQL Essential Training on LinkedIn is designed to help users understand the most common language for database wrangling, SQL. 

All the lessons in this course have been recorded in SQLiteStudio, an intuitive and easy-to-install database manager. 

The instructor Bill Weinman teaches all the major features of SQL: 

  • Creating tables
  • Defining relationships
  • Manipulating strings, numbers, and dates
  • Using triggers to automate actions
  • Using subselects and views

But that’s not all, he also offers a solid working knowledge of the language and shows you how to retrieve and manage data efficiently. 

The final chapter includes a real-world example of building a simple application using SQL.

This reason qualifies this course as one of the best courses on LinkedIn Learning.

Duration: 3 hours.

Level: Beginner.

Students: 91, 129.

Released: 3, December 2019.

Once you get beyond basic programming, you’ll need a database

Databases provide a consistent, organized structure for storing and retrieving large amounts of data. 

They allow programmers to build more complex applications that can take orders, process payments, make recommendations, authenticate users, and more. 

This course on LinkedIn provides the foundation you need to get started in database programming. 

You will explore the terminologies: 

  • Normal forms
  • ACID and CRUD
  • Referential integrity
  • Transactions
  • Records 
  • Tables. 

You will learn what role keys and unique values play in a relational model

And, not only will you discover how to design the best system to contain your data, starting with the tables and relationships at the core of your database…

But you will also find out how to write queries to extract the data you need…

And how to juggle the different demands of storage, access, performance, and security. 

The instructor Scott Simpson provides practical examples and clear explanations that will help you design databases that can withstand the needs of your applications, your data, and your users.

This is why this course comes into place as another best SQL course on LinkedIn.

Duration: 1 hour 25 minutes.

Level: Beginner.

Students: 83, 932.

Released: 28, March 2019.

SQL queries can be fast and highly efficient, but they can also be slow and demand excessive CPU and memory resources. 

So for many SQL programmers, occasional bouts with long-running queries and poor performance are simply natural. 

But by gaining a better understanding of how databases translate SQL queries into execution plans, you can take steps to avoid these issues

That’s why in this LinkedIn course, Dan Sullivan shows developers how to analyze query execution plans and use data modeling strategies to boost query performance

Dan describes how SQL queries are executed.

He also highlights different types of indexes and how they factor in query tuning and covers several methods for performing joins.

Additionally, he discusses how to use partitioning and materialized views to improve performance.

By the end of this course, you’ll have learned:

  • How SQL executes queries
  • Working with PostgreSQL tools for tuning
  • Bitmap and hash indexes
  • Using different types of indexes to improve performance
  • Challenges with joining tables
  • When to use partitioning to improve performance
  • Collecting statistics about data in tables

Duration: 1 hour 44 minutes.

Level: Advanced.

Students: 31, 608.

Released: 1, April 2019.

Do you rely on IT to get the data you need? 

Are you often stuck waiting in line for data, and wish you could just retrieve it yourself?

In this SQL course on LinkedIn, you will 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, but you will be able to:

  • Manipulate it
  • Merge it
  • Group it
  • Relabel it to get just the report you want

Join Emma Saunders as she shows you how to write simple SQL queries for data reporting and analysis. 

The course teaches you how to filter, group, and sort data. Using built-in SQL functions to format or calculate results

Along the way, you will also discover how to perform more complex queries, such as joining data together from different database tables. 

To sum it up, she introduces views, procedures, functions, and variables.

Duration: 2 hours 17 minutes.

Level: Intermediate.

Students: 28, 434.

Released: 2, December 2012.

Time series data is data gathered over time: Performance metrics, user interactions, and information collected by sensors. 

Since different time series data have different measures and different intervals, these data present a unique challenge for data scientists. 

However, SQL has some features designed to help you. 

This course on LinkedIn teaches you how to standardize and model time series data with them.

The instructor Dan Sullivan discusses windowing and the difference between sliding and tumbling window calculations. 

Then, you will learn how SQL constructs such as OVER and PARTITION BY help to simplify the analysis, and how denormalization can be used to augment data while avoiding joins.

Plus, discover optimization techniques such as indexing. 

Dan also introduces time series analysis techniques such as:

  • Previous time period comparisons
  • Moving averages
  • Exponential smoothing 
  • Linear regression.

This makes this course one of the best SQL courses on LinkedIn Learning.

Duration: 1 hour 18 minutes.

Level: Advanced.

Students: 12, 132.

Released: 26, April 2019.

Explore DataFrames, a widely used data structure in Apache Spark, On this LinkedIn course.

DataFrames allow Spark developers to perform common data operations, such as filtering and aggregation, as well as advanced data analysis on large collections of distributed data. 

With the addition of Spark SQL, developers have access to an even more popular and powerful query language than the built-in DataFrames API. 

In this course, the instructor Dan Sullivan shows you how to perform basic operations:

  • Loading
  • Filtering 
  • Aggregating data in DataFrames

… with the API and SQL, as well as more advanced techniques that are easily performed in SQL. 

In this section of the course, Dan explains how to join data, eliminate duplicates, and deal with null or NA values. 

The lessons conclude with three in-depth examples of using DataFrames for data science: exploratory data analysis, time series analysis, and machine learning.

If you want to increase your skills on Machine Learning, here are some resources that you can use.

Duration: 1 hour 53 minutes.

Level: Intermediate.

Students: 7, 345.

Released: 30, May 2019.

In this SQL course on LinkedIn Learning, you will learn how to build more secure applications using the advanced security features in SQL Server 2017

The instructor Joey D’Antoni takes a deep dive into SQL Server row-level security, which allows you to restrict access to specific table data.

And shows you how to encrypt data using the built-in features in SQL Server, such as Always Encrypted.

Which protects sensitive client data without revealing encryption keys. 

Plus, you will discover how to perform data masking to prevent low-privileged users from seeing confidential information.

At the end of this course, you will have learned:

  • Designing row-level security
  • Using views to implement row-level security in SQL Server pre-2016
  • Data encryption
  • Configuring Always Encrypted
  • Dynamic data masking

Duration: 1 hour.

Level: Beginner.

Students: 4, 221.

Released: 19, September 2018.


LinkedIn Learning gives you some of the best courses for learning SQL, all you need to do is signup and start learning.

With these SQL online courses on LinkedIn, you can increase your understanding and skills on the SQL database.

In all the courses mentioned in this article, you’ll be getting a certificate on the completion and FREE trials on every course.

Another exciting news is that you can just access all these courses on your tablets or your smartphones.

So check them out and see if it’s what you have been looking for.

Have you taken any of these best selling SQL courses on LinkedIn Learning before?

If yes, please share your experience in the comments below.

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