Learn SQL programming

SQL (Structured Query Language) is a programming language specifically designed to manage, manipulate and query relational databases. This language has become a widely used standard in data management within database management systems (DBMS) such as MySQL, PostgreSQL, Microsoft SQL Server, Oracle, among others. SQL is essential in the field of computing, as it allows users and developers to interact efficiently with data stored in databases.

The main functions of SQL are diverse and fundamental for efficient data management:

  1. Define and manage databases: SQL allows the creation, modification and deletion of tables within a database. In addition, you can define constraints, indexes and establish relationships between the different tables, which is crucial to maintain the integrity and efficiency of the database. For example, using the CREATE TABLE command, users can define new tables with their respective columns and data types. Indexes, which are created with the CREATE INDEX command, improve query performance.
  2. Query and retrieve data: One of the most powerful functionalities of SQL is the ability to perform complex queries to select, filter, update, insert and delete data from a database. Basic commands include SELECT to retrieve data, INSERT to add new records, UPDATE to modify existing data, and DELETE to delete unwanted records. These commands allow you to manipulate information accurately and efficiently.
  3. Manage permissions and security: SQL provides specific commands to control access to data and manage permissions for users and roles within a database. Using commands such as GRANT and REVOKE, database administrators can define which users have access to certain data and what operations they can perform. This is crucial to protect sensitive information and ensure that only authorized users can access certain data.
  4. Perform maintenance operations: SQL makes it easy to perform maintenance tasks essential to the proper functioning of the database. These tasks include performing backups with commands such as BACKUP DATABASE, restoring databases with RESTORE DATABASE, as well as optimization and general maintenance to ensure that the database operates efficiently. Optimization can include reorganizing indexes, updating statistics and removing obsolete data.

SQL consists of several types of commands, each intended to perform different tasks within the database. These include:

  • DDL (Data Definition Language): Includes commands such as CREATE, ALTER and DROP, which are used to define and modify the database structure.
  • DML (Data Manipulation Language): Includes commands such as SELECT, INSERT, UPDATE and DELETE, which are used to manipulate stored data.
  • DCL (Data Control Language): Includes commands such as GRANT and REVOKE, which are used to control access and permissions.
  • TCL (Transaction Control Language): Includes commands such as COMMIT, ROLLBACK and SAVEPOINT, which are used to control transactions and ensure data integrity during operations.

The use of SQL is essential for anyone working with databases, as it provides the tools necessary to interact with stored data and perform a wide range of information management operations. SQL skills are essential for database administrators, software developers, data analysts and many other professionals who need to access and manipulate data efficiently and securely. With the increasing volume of data in modern organizations, SQL proficiency has become even more relevant, enabling professionals to manage large amounts of information and extract valuable insights for decision making.

In all Ubiqum Data Analysis courses you learn how to use SQL.

Learn SQL at Ubiqum

At Ubiqum we offer three programs focused on three different student profiles. In each one of them the student obtains a solid base of programming in SQL .

The three options are:

Business Analytics & Power BI

In this option, students with less technical background (mathematics and programming) but with business experience, learn solid fundamentals of Python and SQL, the use of the main machine learning algorithms for the creation of models and the advanced use of the Power BI tool. (Three-module, 480-hour course).

Data Analytics & Machine Learning

In this option, students with a good technical background (STEM), in addition to Python and SQL learn R, a very efficient language for data processing with mathematical and statistical formulas that perfectly complements Python. In this course the student delves into machine learning algorithms and advanced modeling (three-module course of 480 hours).

 

Data Science & Deep Learning

This advanced modality, designed for students with an excellent technical background (STEM), adds a fourth module that includes advanced operations with machine learning algorithms and time series analysis.

 

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