Learn SQL from Scratch: Your Data Journey Begins Here

Enroll in this Free Udemy Course to master SQL and boost your career today!

In today’s data-driven world, every data analyst requires a solid understanding of databases. However, fetching and working with data often presents challenges, especially when it comes to the vast information stored within companies. Most of this data resides in relational databases—complex interconnections between tables that efficiently store and manage information. This course dives deep into the foundations of SQL, teaching you how to navigate and manipulate these vast data stores.

SQL, or Structured Query Language, is the cornerstone of data interaction. It allows you to query databases, whether it’s pulling entire tables, filtering data by specific criteria, or joining multiple tables for comprehensive insights. This course offers a thorough exploration of SQL, enabling you to create databases and tables, perform data updates, and carry out complex queries—all essential skills for an aspiring data analyst or scientist.

With a well-structured curriculum composed of 43 lectures across 5 sections, this course is perfect for anyone looking to deeply understand SQL. From beginners wanting to get started in data analytics to professionals looking to enhance their skills, this course will equip you with valuable insights and practical abilities. Join the ranks of thousands of students who have transformed their careers by mastering SQL—don’t miss out on this opportunity to elevate your professional profile!

What you will learn:

  • Creación de bases de datos y tablas.
  • Insertar, actualizar y eliminar registros.
  • Consultas simples en SQL.
  • Funciones de agregación en SQL.
  • Relación entre tablas.
  • Creación y manejo de índices.

Course Content:

  • Sections: 5
  • Lectures: 43
  • Duration: 4h 54m

Requirements:

  • No se necesita experiencia en bases de datos.

Who is it for?

  • Estudiantes que deseen aprender bases de datos.
  • Profesionistas que se dedican al análisis de datos.

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