Introduction: SQL, or Structured Query Language, is the standard programming language used to interact with relational databases. It allows users to retrieve, insert, update, and delete data stored in databases. SQL is widely used by data analysts, developers, and database administrators to manage and query large datasets. It’s the foundation for working with relational databases and is essential for anyone dealing with data organization, reporting, and analysis.
Use Cases: Data retrieval for reporting, database management, data cleaning and preparation, data manipulation for analytics, backend support for applications.
Publishers: SQL is a language standard supported by various relational database management systems (RDBMS) such as MySQL (Oracle), PostgreSQL (open source), Microsoft SQL Server (Microsoft), and SQLite.
Access: MySQL and PostgreSQL are free and open source; Microsoft SQL Server offers a free Developer Edition; SQLite is completely free and lightweight, making it ideal for learning and small applications.
Description: The Meta Database Engineer Professional Certificate is a comprehensive program designed to equip learners with the skills needed to become a database engineer. Offered by Meta, this course covers essential database concepts, SQL, NoSQL, database administration, and data modeling. It also provides hands-on projects and real-world applications, making it ideal for those looking to start or advance their careers in database management.
Key Aspects Covered:
Certification: A Professional Certificate is awarded upon completion.
Projects: Includes hands-on projects and assignments focused on real-world database engineering tasks.
Description: SQLBolt offers a free interactive tutorial series that helps you learn SQL through hands-on exercises. The Introduction to SELECT Queries lesson is a great starting point for beginners to understand how to retrieve data from a database using SQL's SELECT statement. This lesson teaches the syntax, basic filtering, and the concept of selecting specific columns and rows in a database. It's perfect for those new to SQL or data management who want to start with the basics and build a strong foundation.
Key Aspects Covered:
Certification: No certification is provided.
Projects: Interactive exercises that allow you to practice SQL queries and apply the learned concepts.
Description:
This beginner-friendly course is designed to introduce SQL concepts specifically for data science applications. It covers fundamental SQL commands, data filtering, joins, and aggregation techniques while emphasizing real-world data analysis scenarios. By the end of the course, learners will be able to query databases efficiently, clean data, and perform exploratory data analysis using SQL.
Key Aspects Covered:
Certification: A certificate of completion is provided by Coursera.
Projects: Includes practical exercises and case studies related to data science.
Click here to access the course.
Description:
Offered by Harvard University as part of its renowned CS50 series, this course provides an in-depth introduction to databases and SQL. It covers database design, normalization, and querying using SQL, making it an excellent choice for those looking to understand SQL beyond just data retrieval. Learners will also work with PostgreSQL and apply their knowledge to build and manage databases.
Key Aspects Covered:
Certification: A certificate is available upon completion through edX.
Projects: Hands-on exercises involving database creation, query writing, and optimization.
Description:
This beginner-level course introduces learners to the basics of SQL and relational databases. It covers core concepts such as data retrieval, filtering, and joins, making it an ideal starting point for those new to databases. The course also includes practical exercises to reinforce learning, ensuring that learners can apply SQL queries effectively in real-world scenarios.
Key Aspects Covered:
Certification: A certificate of completion is provided by Coursera.
Projects: Includes interactive exercises and quizzes to practice SQL skills.