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SQL is a must-have skill for all data professionals. But achieving SQL mastery is an ongoing journey.
Here we have compiled a list of five super useful but free SQL courses to help you learn and master SQL. These courses cover all the SQL you'll need for data science: from relational database and SQL basics to NoSQL databases and more.
If you're new to SQL or looking to improve your SQL skills, these courses will help you level up. So let's review them!
Link: SQL Tutorial: Complete Database Course for Beginners
This course introduces you to the basics of SQL and database management systems. You will learn about:
- CRUD operations
- outline design
- Aggregation
- nested queries
- Unions and unions
- Functions and triggers
- ER diagrams
Link: SQL mode tutorial
He SQL Tutorial from Modo is one of the most comprehensive courses that will help you learn how to query relational database tables using SQL and answer business questions.
This course is structured in a series of 4 modules:
- Basic SQL
- Intermediate SQL
- Advanced SQL
- Training in SQL analysis.
In the Basic SQL module, you will learn and practice:
- SELECT, LIMIT and WHERE clause
- Comparison and logical operators.
- Operators LIKE, IN and BETWEEN
- IT IS NULL
- AND, OR, NOT Operators
- SORT BY
In the Intermediate SQL section you will learn about:
- Added features
- Group by and have
- Distinct
- Different types of unions
In the Advanced SQL module, you will learn the following:
- Data types: dates and strings
- Data dispute
- SQL string functions and window functions
- Subqueries
- Performance Optimization
You will then work on real-world case studies in the SQL Analysis training module.
Link: Learn SQL Basics for Data Science Specialization
SQL Fundamentals for Data Science Specialization on Coursera will teach you almost all the SQL you need in your data science career.
The following are the specialization courses:
- SQL for data science
- Data Dispute Analysis and AB Testing with SQL
- Distributed computing with Spark SQL
- Final SQL project for data science
Note: This specialization is offered on Coursera. So you can audit it for free. However, if you need a verified certificate, you must have a Coursera Plus subscription. You can also apply for financial aid if you cannot afford the certificate.
Link: NoSQL vs SQL: what type of database should you use?
As a data scientist, you must work with relational and NoSQL databases. Before delving into NoSQL databases, it is helpful to understand the features of SQL and NoSQL databases and the use cases for each.
In this short course on SQL versus NoSQL databasesyou will be able to explore the following:
- The characteristics of relational and NoSQL databases.
- The need for NoSQL databases
- The pros and cons of each of these types of databases.
- When to use RDBMS vs. NoSQL databases
Link: NoSQL Database Tutorial – Complete Course for Beginners
In this short course on NoSQL databases, you will explore the different types of NoSQL databases and also work on projects. You will learn about:
- Why you should use NoSQL databases
- Tabular databases
- Document databases
- Graph Databases
- Key Value Databases
- Multi-model type
I hope you found this compilation of SQL courses for data science useful. You can take all these courses for free. But if you are already familiar with SQL, you can choose to work only through the SQL for Data Science specialization.
Bala Priya C. is a developer and technical writer from India. He enjoys working at the intersection of mathematics, programming, data science, and content creation. His areas of interest and expertise include DevOps, data science, and natural language processing. He likes to read, write, code and drink coffee! Currently, he is working to learn and share his knowledge with the developer community by creating tutorials, how-to guides, opinion pieces, and more.
