What you'll learn
- Complete literal SELECT statements.
- Complete basic SELECT statements querying against a single table
- Filter data using the WHERE clause
- Sort data using the ORDER BY clause
- Learn about database design and normalization
- Using joins, return columns from multiple tables in the same query
- Understand the difference between the INNER JOIN, LEFT/RIGHT OUTER JOIN, and FULL OUTER JOIN
- Complete SQL statements that use aggregate functions
- Group data together using the GROUP BY clause
- Filter groups of data using the HAVING clause
- Use built-in SQL Server functions
- Understand SQL Server Data Types and Type Casting
- Work with Table Expressions: Derived Tables and CTEs
- Use CASE Statements
- Use Subqueries
Course content
- Preview06:49
- 00:02ALSO START HERE: T-SQL Training Guide
- 00:03Installing SQL Server Written Instructions
- Preview11:26How to Install Microsoft SQL Server Express
- 04:45How to Attach the AdventureWorks Sample Database
- 04:13Introduction to T-SQL and Database Concepts
- 06:38Literal SELECT Statements - Part 1
- 03:38Literal SELECT Statements - Part 2
- 00:03Literal SELECT Statement Practice Problems
- 08:42Basic SELECT Statements - Part 1
- 08:10Basic SELECT Statements - Part 2
- 06:29Basic SELECT Statements - Part 3
- 00:02Basic SELECT Statement Practice Problems
Requirements
- I assume that you have NO SQL or database background before taking this course.
- You need to have a Windows computer or the ability to run a Windows Operating System on your computer.
Description
This course is an extension of our previous course, "Microsoft SQL for Beginners". This course, "Microsoft SQL from A to Z" contains all the course material and content from the previous course plus the additional MANY new lectures on more intermediate and advanced-level SQL querying topics. Students who sign up for this course will also have access to our 150+ page "Complete T-SQL Querying Guide" as an added bonus to assist you in the learning process.
Do you want to learn a skill that can help you earn nearly $100,000 per year? If so, then this course is for you!
SQL (Structured Query Language) is the language we use to interact with databases that store data. This allows us to retrieve data with ease and simplicity. As terms like business intelligence and big data become more familiar, businesses will need more people to learn the SQL language.
This course will teach you how to use the SQL language within Microsoft SQL Server, one of the most popular database engines in the world.
You will have plenty of video lessons to teach you the majority of the content. Each section includes practice problems or additional e-books to help reinforce what you learn in the video tutorials.
Who this course is for:
- Anyone who works with data, tables, or databases!
- Someone who wants to learn the foundational skill of big data and data analytics.
- Those who work in organizations where the company typically uses Microsoft databases. This course uses Microsoft SQL Server and T-SQL (Microsoft SQL) variant of the SQL language. Those who work with Oracle, DB2, or MySQL might not gain as much from this course.
- If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information
- Someone who wants to learn skills that give them the potential to earn near SIX figures!
Featured review
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Instructor
- 4.6 Instructor Rating
- 20,745 Reviews
- 71,460 Students
- 2 Courses
Brewster Knowlton has worked in all facets of the business intelligence industry. With significant experience writing SQL code, developing ETL processes, and architecting and designing data warehouse systems, his greatest strength is the ability to communicate difficult concepts in an easily understood way. Having completed business intelligence projects across a variety of industries, Brewster understands what BI skills organizations need and employers are seeking. His goal is to help you learn SQL and business intelligence skills so that you might find your dream career in the business intelligence field.