SQL Data Analysis for beginners: MS SQL | SQL Server | SSMS

Master real World Data Analysis with SQL

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Description

The volume of data available is huge and increasing daily. Structured Query Language -SQL (pronounced as sequel) is the standard language used to communicate and interact with data stored in relational management database systems like Microsoft  SQL Server Oracle, PostgreSQL,MySQL etc.

Different database management systems have their own proprietary  version of the SQL language  but they all conform to using some commands in SQL the same way.   Microsoft SQL Server's version of SQL is known as Transact-SQL  (T-SQL).    In this course you will learn the basics of the SQL language and Transact-SQL since  both use certain commands in the same way.

T-SQL is also popularly referenced to as T-Sequel .In this course you will learn all the basics of T-SQL. We will discuss the T-SQL features step by step. We will be using SQL Server Express 2014 (which is a free download). As a sample, we will use AdventureWorks 2014 as our database. Along the way, we will be creating our own t-SQL queries to get data into a database and also out of a database.  But AdventureWorks 2014 will be our main focus. As far as T-SQL, we will start with the simple select statements and add new features as we go. I will introduce you to the data types available so you can make the appropriate selection when creating a column. Then, we will talk about joins, functions, tables, procedures, triggers, indexes, and much more. By the time you are done with this course, you will be very comfortable using T-SQL.
This course will provide you with the basic knowledge and skills to create queries using Transact-SQL. It will teach you how to select, filter and sort data from multiple tables and how to use views and stored procedures. You will also be familiar with SQL Server Management Studio 2014 also known in the tech industry as SSMS. This is the tool you will use to write and see the output of your T-SQL queries.


What You Will Learn!

  • Extract | Combine Data From Different Tables
  • Sorting Data
  • Filtering Data
  • Aggregating and Grouping Data
  • Data Analysis using SET Operators
  • Data Analysis using Analytic Functions
  • Build 27 Real World Data Analysis SQL Queries

Who Should Attend!

  • Beginners Data Analyst
  • Beginner Data Scientist