SQL queries (Transact-SQL) provides you with many possibilities for extracting and manipulating data. We will teach you all the basic SQL enabling you, after the course, to create your own solutions which include using the SQL language. The course is also relevant for you if you are using SQL in Excel - either in Power Queries, Power Pivot, VBA codes or in other tools.
On the course, you will learn to
In the section, ”Course Details” below, you will find more details about the content of this SQL course.
Before the course
During the course
After the course
This SQL course is a part of 4D's unique collection of English conducted courses in the Business Intelligence course category.
In this module, you will be introduced to basic theories about designing relational databases and to some history about RMDB and SQL language.
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Here you will be introduced to the SELECT statement and learn how to perform simple querys in a relational database.
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In this module, you will learn to filter selected data.
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In this module, you will be introduced to filtering by using patterns.
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Here you will be introduced to how to create calculated columns. You will also see some of the most commonly used Functions() in SQL. You will learn some of the more specific T-SQL-functions() and be given a list of all the available T-SQL functions. You will also learn to work with alias for tables and columns.
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We will introduce you to a special group of functions: The aggregate-functions, which are functions used to calculate per column in a group of data.
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In this module, you will learn about subqueries which, on one hand, can be very complex but on the other hand also extremely useful. You will after this module be able to use subqueries as a filter and to use subqueries as embedded in calculations.
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Here you shall work with normalized data and relational data you will learn how to use joins. We will explain the different types of joins and how they are used.
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In this module, you will get a short introduction to inserting and updating data in a database, by using SQL statements.
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