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Data

Retrieve Data Using SQL

In this course, you will learn how to represent data using the relational model and apply relational algebra concepts to SQL, the world's most popular query language to query databases.
Moyenne
20 heures
Ce cours en libre accès vous intéresse ?

Data is everywhere. In fact, it is at the heart of newer disciplines such as Data Science and Data Analysis. Data is often organized in tables containing rows and columns.

In this course, you will learn how to manipulate those tables using relational algebra operators, and apply these theoretical concepts to a very common language, SQL (Structured Query Language), which is used to interact with… relational databases!

This course will enable you to formalize the concepts you use naturally in SQL, so that you can apply them to other languages (such as Python or R). It will also offer tips on using SQL to build increasingly complex queries.

SQL is required knowledge for Data Analysts, so let's dive in!

Objectifs pédagogiques

  • Represent data with the relational model
  • Manipulate data using relational algebra operations

Prérequis

Familiarity with variable types (whole number integer: decimal, float, character string, Boolean, date).

If you are unfamiliar with this vocabulary, we highly recommend taking the following course: Think like a computer: understanding the logic of programming.

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  • Mentorat individuel

Contributeurs

Professeur

Kurt Schuepfer

PhD from Miami University. Data Scientist. Founder and Chief Strategist at Accelerate Data Academy.

Créé par

Mis à jour le 14/02/2025
Licence

Data

Retrieve Data Using SQL

Moyenne
20 heures
Cours en libre accès