What you would learn in SQL Data Analysis for beginners: MS SQL | SQL Server | SSMS course?
The amount of information accessible is massive and growing each day. The Structured Query Language SQL (pronounced like successor) is the language that is used to exchange information and interact with the data that is stored in relational management database systems such as Microsoft SQL Server Oracle, MySQL, PostgreSQL, etc.
Different database management systems use their unique versions of SQL language, but all use specific commands from SQL in the same manner. Microsoft SQL Server's version of SQL is called Transact-SQL (T-SQL). In this class, you'll be taught the fundamentals of the SQL language and Transact-SQL because both utilize specific commands in the same manner.
The name of T-Sequel often refers to T-SQL. In this course, you will master the fundamentals of T-SQL. We will review the T-SQL features step-by-step. We will use SQL Server Express 2014 (which is a no-cost download). For test one, we will use AdventureWorks 2014 as our database. In the process, we will develop our t-SQL queries that transfer data into a database and from the database. However, AdventureWorks 2014 will be our principal area of focus. In terms of T-SQL, we'll begin with basic select statements and add additional features to the system as we progress. We will walk you through the types of data available to ensure you can make the correct choice when creating columns. In the next section, we'll discuss joins tables, functions procedure, triggers indexes, and much more. When you're finished with this course, you'll be familiar with T-SQL. This course will equip you with the basics and ability to construct queries with Transact-SQL. The course will help you learn how to filter, select, and sort data from various tables and use stored procedures and views. It will also teach you how to work using SQL Server Management Studio 2014, which is also known in tech as SSMS. This is the program that you use to write and view the results of your T-SQL queries.
Extract Combine Data from a variety of tables
Aggregating or Grouping Information
Data Analysis by Set Operators
Data Analysis with Analytic Functions
Build 27 Real World Data Analysis SQL Queries
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