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Microsoft SQL from A to Z

Learn SQL querying! Master database skills with this complete guide. Write powerful queries for data analysis and management. Perfect for beginners to advanced users.

4.6(9,172)
32,849students
5h 41m
Certificate
Brewster Knowlton
Brewster KnowltonBusiness Intelligence Expert

Course Content

Microsoft SQL from A to Z is an all-levels Udemy course taught by Brewster Knowlton. It runs 5h 41m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 9,172 reviews, with 32,849 students enrolled. It is a paid course, last updated January 2025.

Unlock Advanced SQL Skills with Microsoft SQL from A to Z

Building upon your foundation in Microsoft SQL, this comprehensive course takes you from beginner to advanced proficiency. It expands significantly on our popular "Microsoft SQL for Beginners" course, incorporating all previous material plus a wealth of new lectures covering more intermediate and advanced SQL querying techniques.

Boost your career prospects! Mastering SQL can open doors to high-paying roles – with the potential to earn nearly $100,000 per year. SQL (Structured Query Language) is the essential language for interacting with databases, enabling you to effortlessly retrieve and manage data. As business intelligence and big data continue to grow, the demand for skilled SQL developers is soaring.

This course focuses on using SQL within Microsoft SQL Server, a leading database engine. You'll learn through engaging video lessons, reinforced by practical exercises and supplementary e-books.

What you'll get:

  • All content from "Microsoft SQL for Beginners"
  • New lectures on intermediate and advanced SQL querying
  • 150+ page "Complete T-SQL Querying Guide" – a valuable resource to support your learning journey.
  • Plenty of video lessons for easy understanding.
  • Practice problems and additional e-books to solidify your knowledge.

This course is perfect for anyone looking to develop a highly sought-after skill in database management and data analysis.

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