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This Simplilearn video on SQL Server Complete Tutorial will help you learn the basics of Microsoft SQL Server. You will start by understanding how to create tables and insert data into them. Then, you'll explore how to use the SELECT statement for querying data, along with various techniques for filtering and sorting results. The tutorial also covers the use of GROUP BY to aggregate data, and the CASE clause for conditional logic. You’ll also learn how to use JOINS to combine data from multiple tables, and the HAVING clause for filtering grouped results. The BETWEEN operator will be introduced for range queries, and pattern matching will be explained for more complex string searches. Additionally, you'll get an overview of DATE and TIME functions, as well as working with temporary tables (TEMP) and Common Table Expressions (CTEs) to manage complex queries efficiently.
The Microsoft SQL Server Tutorial will cover the following topics:
00:00:00 Introduction to SQL Server Complete Tutorial
00:02:20 SQL Server Tutorial
00:04:14 How to Create Table in SQL Server
00:04:45 Insert Data into Data Tables
00:06:10 SELECT in SQL Server
00:07:25 Filtering in SQL Server
00:10:05 Sorting in SQL Server
00:13:05 Group By in SQL Server
00:15:50 CASE Clause in SQL Server or SWITCH Case in SQL Server
00:21:04 JOINS in SQL Server
00:24:25 HAVING in SQL Server
00:28:20 BETWEEN in SQL Server
00:32:20 Pattern Matching in SQL Server
00:35:30 DATE and TIME Functions in SQL Server
00:39:15 TEMP Table in SQL Server
00:41:30 CTEs in SQL Server (Common Table Expressions in SQL Server)
What is Microsoft SQL Server?
Microsoft SQL Server is a relational database management system (RDBMS) that allows users to store, retrieve, and manage data for other applications.
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➡️ About Data Science Course in collaboration with IBM
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.
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Skills Covered
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