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Since August 2026
Instructor since August 2026
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SQL classes and databases | MySQL, PostgreSQL, Oracle and PL/SQL
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From 48 C$ /h
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Are you studying DAM, DAW, ASIR, Computer Engineering or other technological training and need help with SQL or databases?

The classes are online, one-on-one, and fully tailored to your syllabus, level, and goals. We can start from scratch, prepare you for a subject or exam, help you with practice problems, work on a project, or delve deeper into more advanced topics.

We can work on content such as:

* database design and modeling;
* entity-relationship diagrams;
* relational model;
* standardization;
* creation and modification of tables;
* SQL queries;
* JOIN and relationships between tables;
* subqueries;
* aggregation and grouping functions;
* views;
* procedures and functions;
* triggers;
* transactions;
* PL/SQL;
* query optimization and debugging;
* Connecting databases to applications.

We can work with **MySQL, MariaDB, PostgreSQL, Oracle** and other database management systems depending on the technology you use in your subject or project.

My goal is not for you to memorize queries. We will work to help you learn to analyze what information you need, which tables are involved, how to relate them, and how to build the solution step by step.

We can also work on your own exercises, practices, databases or projects, as well as prepare exams and assignments for vocational training or university.

In addition to the classes, you will have access to our educational platform with its own documentation, examples, exercises, practices and other resources to continue working between sessions.
Extra information
You can bring your own course materials, practical exercises, virtual machines, or other resources. We will adapt the classes to the technology and content you are using.
Location
location type icon
Online from Spain
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
Spanish
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
¿Estás estudiando DAM, DAW, Ingeniería Informática u otra formación tecnológica y se te está atravesando la programación?

Soy Nuria, profesora de informática con más de 10 años de experiencia docente y experiencia profesional en desarrollo y administración de sistemas.

Las clases son online, individuales y completamente adaptadas a tu temario, nivel y objetivos. Podemos empezar desde cero, preparar una asignatura o examen, trabajar sobre prácticas y entregas, resolver errores o avanzar con un proyecto.

Trabajo con distintos lenguajes y tecnologías, entre ellos **Java, Python, C, C#, PHP, JavaScript, SQL, OCaml** y otros que puedas utilizar en tu asignatura.

Podemos trabajar contenidos como:

* lógica de programación y resolución de problemas;
* algoritmos y estructuras de datos;
* programación orientada a objetos;
* programación funcional;
* funciones, clases, colecciones y excepciones;
* depuración y resolución de errores;
* acceso a bases de datos;
* desarrollo de aplicaciones;
* Git y control de versiones;
* prácticas, proyectos y preparación de exámenes.

Mi objetivo no es que memorices código ni copies soluciones, sino que aprendas a analizar un problema, dividirlo en partes, plantear una solución y entender por qué funciona.

Además de las clases, tendrás acceso a nuestra plataforma educativa con documentación propia, apuntes, ejercicios, ejemplos, prácticas y contenidos de nuestros cursos para continuar trabajando entre sesiones.
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Do you want to learn Artificial Intelligence from scratch or do you need support with a subject, practice or project related to AI?

The classes are online, one-on-one, and fully tailored to your level and goals. We can work from the fundamentals to practical applications using Python, generative AI tools, language models, and APIs.

We can work on content such as:

fundamentals of Artificial Intelligence;
Python applied to AI and data processing;
data preparation, cleaning and analysis;
NumPy, pandas and data visualization;
Introduction to Machine Learning;
classification, regression and model evaluation;
Generative AI and Language Models (LLM);
use of ChatGPT, Gemini and other AI tools;
design and improvement of prompts;
consumption of AI model APIs;
task automation using AI;
AI integration in applications;
search and work with information and documents;
development of small projects and prototypes;
internships, projects and exam preparation.

The goal is not only to learn how to use AI tools, but to understand how they work, when to use them, and how to practically integrate them into your own projects.

We can start from scratch, work on the syllabus of your subject, or develop a specific application or project step by step.

In addition to the classes, you will have access to our educational platform with its own documentation, exercises, examples, practices and other resources to continue working between sessions.

Additional information for the student

You can bring your own syllabus, practical exercises, data, or project. We will adapt the classes to your prior knowledge and the objective you want to achieve.
Read more
Show more
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Brahim
Module 1: SQL Overview
Outlining SQL as the cornerstone of database activity
Applying the ANSI/ISO standards
Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys

Module 2: Building the Database Schema
- Creating tables and columns
Building tables with CREATE TABLE
Modifying table structure with ALTER TABLE
Adding columns to an existing table
Removing tables with DROP TABLE

- Protecting data integrity with constraints
Guaranteeing uniqueness with primary key constraints
Enforcing integrity with foreign key constraints
Imposing business rules with check constraints

- Improving performance with indexes
Expediting data retrieval with indexes
Recommending guidelines for index creation

Module 3: Manipulating Data
- Modifying table contents
Adding table rows with INSERT
Changing row content with UPDATE
Removing rows with DELETE

- Applying transactions
Controlling transactions with COMMIT and ROLLBACK
Deploying BEGIN TRANSACTION in SQL Server

Module 4: Working with the SELECT Statement
- Writing Single Table queries
Retrieving data with SELECT
Specifying column expressions
Sorting the result with ORDER BY
Handling NULL values in expressions

- Restricting rows with the WHERE filter
Testing for equality or inequality
Applying wildcard characters
Avoiding NULL value pitfalls

Module 5: Querying Multiple Tables
- Applying the ANSI/ISO standard join syntax
Matching related rows with INNER JOIN
Including nonmatched rows with OUTER JOIN
Creating a Cartesian product with CROSS JOIN

- Combining results with set operators
Stacking results with UNION
Identifying matching rows with INTERSECT
Utilizing EXCEPT to find nonmatching rows

Module 6: Employing Functions in Data Retrieval
- Processing data with row functions
Conditional formatting with the CASE expression
Utilizing the CASE expression to simulate IF tests
Dealing with NULL values

- Performing analysis with aggregate functions
Summarizing data using SUM, AVG and COUNT
Finding the highest/lowest values with MAX and MIN
Defining the summary level with GROUP BY
Applying filter conditions with HAVING

Module 7: Constructing Nested Queries
- Applying subqueries in filter conditions
Creating correlated vs. noncorrelated subqueries
Testing the existence of rows

- Including subqueries in expressions
Placing subqueries in the column list
Creating complex expressions containing subqueries
Handling subqueries that return no rows

Module 8: Developing In-Line and Stored Views
- Breaking down complex problems
Selecting data from a query result set
Using subqueries in the FROM clause

- Creating views in a database
Building reusable code
Creating updateable vs. non-updateable views
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Samir
Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand.

In this two-hour introduction to SQL, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test. SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction.

The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course you’ll have some hands-on experience in learning SQL and the grounding to start applying it on projects or continue your learning in a more specialized direction.

Relational Databases
Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction.

Querying
Learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.
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Pardeep
Mastering MS SQL Server: Database Development and Management

Description:

Unlock the full potential of database development and management with our comprehensive MS SQL Server course. Whether you're a budding database administrator, software developer, or IT professional, this course is designed to equip you with the skills and knowledge needed to harness the power of Microsoft SQL Server.

What You'll Learn:

Introduction to MS SQL Server:

Understand the fundamentals of relational databases.
Explore the architecture and components of MS SQL Server.
Database Design and Normalization:

Design efficient and normalized database structures.
Learn best practices for creating scalable and maintainable databases.
SQL Querying:

Master Transact-SQL (T-SQL) for querying and manipulating data.
Implement stored procedures, functions, and triggers.
Data Modeling and Indexing:

Create effective data models for optimal performance.
Implement and optimize indexes for fast query execution.
Advanced Querying and Reporting:

Explore advanced querying techniques for complex data retrieval.
Generate meaningful reports using SQL Server Reporting Services (SSRS).
Data Security and Permissions:

Implement robust security measures to protect sensitive data.
Manage user roles and permissions effectively.
Backup and Recovery Strategies:

Develop comprehensive backup and recovery plans.
Learn to restore databases in the event of data loss.
Real-World Projects:

Database Development: Design and implement a fully functional database for a real-world scenario.
Performance Optimization: Identify and optimize slow-performing queries and database structures.
Why Choose Our Course:

Hands-On Labs: Apply your knowledge through hands-on labs and real-world scenarios.
Expert Instructors: Learn from experienced database administrators and SQL Server professionals.
Career Guidance: Receive insights into career paths in database development and administration.
Certification Preparation: Prepare for Microsoft SQL Server certifications to boost your credentials.
Who Is This Course For:

Database Administrators
Software Developers
IT Professionals
Students and Enthusiasts interested in database management
Join us in this immersive journey to become a master of MS SQL Server. Enroll now to acquire the skills needed to build and manage robust databases that drive business success!
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Contact Nuria
repeat students icon
1st lesson is backed
by our
Good-fit Instructor Guarantee
Similar classes
arrow icon previousarrow icon next
verified badge
Brahim
Module 1: SQL Overview
Outlining SQL as the cornerstone of database activity
Applying the ANSI/ISO standards
Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys

Module 2: Building the Database Schema
- Creating tables and columns
Building tables with CREATE TABLE
Modifying table structure with ALTER TABLE
Adding columns to an existing table
Removing tables with DROP TABLE

- Protecting data integrity with constraints
Guaranteeing uniqueness with primary key constraints
Enforcing integrity with foreign key constraints
Imposing business rules with check constraints

- Improving performance with indexes
Expediting data retrieval with indexes
Recommending guidelines for index creation

Module 3: Manipulating Data
- Modifying table contents
Adding table rows with INSERT
Changing row content with UPDATE
Removing rows with DELETE

- Applying transactions
Controlling transactions with COMMIT and ROLLBACK
Deploying BEGIN TRANSACTION in SQL Server

Module 4: Working with the SELECT Statement
- Writing Single Table queries
Retrieving data with SELECT
Specifying column expressions
Sorting the result with ORDER BY
Handling NULL values in expressions

- Restricting rows with the WHERE filter
Testing for equality or inequality
Applying wildcard characters
Avoiding NULL value pitfalls

Module 5: Querying Multiple Tables
- Applying the ANSI/ISO standard join syntax
Matching related rows with INNER JOIN
Including nonmatched rows with OUTER JOIN
Creating a Cartesian product with CROSS JOIN

- Combining results with set operators
Stacking results with UNION
Identifying matching rows with INTERSECT
Utilizing EXCEPT to find nonmatching rows

Module 6: Employing Functions in Data Retrieval
- Processing data with row functions
Conditional formatting with the CASE expression
Utilizing the CASE expression to simulate IF tests
Dealing with NULL values

- Performing analysis with aggregate functions
Summarizing data using SUM, AVG and COUNT
Finding the highest/lowest values with MAX and MIN
Defining the summary level with GROUP BY
Applying filter conditions with HAVING

Module 7: Constructing Nested Queries
- Applying subqueries in filter conditions
Creating correlated vs. noncorrelated subqueries
Testing the existence of rows

- Including subqueries in expressions
Placing subqueries in the column list
Creating complex expressions containing subqueries
Handling subqueries that return no rows

Module 8: Developing In-Line and Stored Views
- Breaking down complex problems
Selecting data from a query result set
Using subqueries in the FROM clause

- Creating views in a database
Building reusable code
Creating updateable vs. non-updateable views
verified badge
Samir
Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand.

In this two-hour introduction to SQL, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test. SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction.

The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course you’ll have some hands-on experience in learning SQL and the grounding to start applying it on projects or continue your learning in a more specialized direction.

Relational Databases
Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction.

Querying
Learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.
verified badge
Pardeep
Mastering MS SQL Server: Database Development and Management

Description:

Unlock the full potential of database development and management with our comprehensive MS SQL Server course. Whether you're a budding database administrator, software developer, or IT professional, this course is designed to equip you with the skills and knowledge needed to harness the power of Microsoft SQL Server.

What You'll Learn:

Introduction to MS SQL Server:

Understand the fundamentals of relational databases.
Explore the architecture and components of MS SQL Server.
Database Design and Normalization:

Design efficient and normalized database structures.
Learn best practices for creating scalable and maintainable databases.
SQL Querying:

Master Transact-SQL (T-SQL) for querying and manipulating data.
Implement stored procedures, functions, and triggers.
Data Modeling and Indexing:

Create effective data models for optimal performance.
Implement and optimize indexes for fast query execution.
Advanced Querying and Reporting:

Explore advanced querying techniques for complex data retrieval.
Generate meaningful reports using SQL Server Reporting Services (SSRS).
Data Security and Permissions:

Implement robust security measures to protect sensitive data.
Manage user roles and permissions effectively.
Backup and Recovery Strategies:

Develop comprehensive backup and recovery plans.
Learn to restore databases in the event of data loss.
Real-World Projects:

Database Development: Design and implement a fully functional database for a real-world scenario.
Performance Optimization: Identify and optimize slow-performing queries and database structures.
Why Choose Our Course:

Hands-On Labs: Apply your knowledge through hands-on labs and real-world scenarios.
Expert Instructors: Learn from experienced database administrators and SQL Server professionals.
Career Guidance: Receive insights into career paths in database development and administration.
Certification Preparation: Prepare for Microsoft SQL Server certifications to boost your credentials.
Who Is This Course For:

Database Administrators
Software Developers
IT Professionals
Students and Enthusiasts interested in database management
Join us in this immersive journey to become a master of MS SQL Server. Enroll now to acquire the skills needed to build and manage robust databases that drive business success!
Good-fit Instructor Guarantee
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Contact Nuria