Writing Advanced SQL Queries on Microsoft SQL Server

Learn to write Practical Hands on advanced queries

3.85 (75 reviews)
Udemy
platform
English
language
Databases
category
Writing Advanced SQL Queries on Microsoft SQL Server
2,255
students
2.5 hours
content
Jun 2021
last update
$49.99
regular price

What you will learn

Download SQL Server

Download and Attach Sample Database

Extract data from multiple tables

Aggregate data using aggregate functions

Write queries to analyse data using various analytic functions

Write queries using various SET Operators

Why take this course?

šŸš€ **Course Title:** Writing Advanced SQL Queries on Microsoft SQL Server --- ### Course Headline: šŸŽ“ Dive into Mastering Advanced SQL Queries on Microsoft SQL Server! --- **Course Description:** Are you ready to unlock the full potential of your data? Whether you're a database administrator, developer, or simply looking to enhance your data analysis skills, our *Writing Advanced SQL Queries on Microsoft SQL Server* course is tailored to take you from a beginner to a slightly advanced user, all while working hands-on with real-world scenarios. **Why Microsoft SQL Server?** šŸ” **Microsoft SQL Server:** A robust and reliable relational database management system that's a go-to for organizations of all sizes, including top fortune 100 companies. It's the engine that powers some of the most critical data applications in the world. **About the Course:** This comprehensive course is designed to guide you through mastering the art of writing complex SQL queries. You'll learn best practices for querying and manipulating data within an SQL Server environment, ensuring that your data retrieval is both efficient and accurate. **What You Will Learn:** - šŸ¤ **Joining Tables:** Master the different types of joins to retrieve data from multiple tables, including: - Inner joins - Left outer joins - Right outer joins - šŸ“Š **Aggregate Functions:** Summarize and analyze your data using functions such as: - COUNT - SUM - AVG - MIN - MAX - VAR - VARP - šŸ“ˆ **Analytic Functions:** Get to grips with advanced analytic functions for complex analysis, including: - LEAD - LAG - LAST_VALUE - FIRST_VALUE - PERCENT_RANK - CUME_DIST **Course Highlights:** - **Hands-On Learning:** Engage with real-world examples and practice your skills. - **Practical Skills:** Learn to choose the most appropriate query method for accurate results. - **Avoid Common Errors:** Gain insights on how to steer clear of frequent mistakes and pitfalls. - **In-Depth Understanding:** Explore the full potential of SQL queries to handle complex data operations. **Who Is This Course For?** This course is perfect for: - Aspiring database professionals - Developers looking to enhance their SQL Server skills - Analysts who need to extract and analyze large datasets efficiently - Anyone interested in learning advanced SQL techniques to leverage data effectively. **Join Us and Transform Your Data Handling Capabilities!** By the end of this course, you'll not only have a solid understanding of writing advanced SQL queries but also the practical skills to handle complex database operations with confidence. Enroll now and take your first step towards becoming a data guru! šŸ’»šŸŒŸ --- Ready to elevate your SQL expertise? Click "Enroll Now" and start your journey to mastering advanced SQL queries on Microsoft SQL Server today!

Reviews

Pragya
May 19, 2021
I think the course could have been a bit more hands on and showed the different scenarios with some problems to solve
Miles
May 18, 2020
Course is ok, starts a bit too simply but it gets going towards the last quarter. Not a lot of explanation, so reading the documentation would give much the same experience.
Rey
February 29, 2020
Great in keeping as short sessions for each type of queries for effective and easier to understand each concept.
Nana
June 19, 2018
clear and good grammar nice and good presentation and clear medium of processing and teaching materials , awesome Guys keep it up !!!!!!!!!!

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1749818
udemy ID
6/15/2018
course created date
7/8/2019
course indexed date
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