MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 2.46 GB | Duration: 7h 8m

What you'll learn
Installing SQL Server and SQL Server Management Studio
Window Functions
Correlated Subqueries
Advanced filtering with EXISTS and NOT EXISTS
Flattening data with PIVOT
Generating data series with Recursive CTEs
Leveraging CTEs and temporary tables to break complex processes into manageable steps
Defining and manipulating tables with DDL and DML commands
Designing lookup tables to simplify redundant analysis
SQL optimization techniques, including indexes
Procedural programming techniques like variables and IF statements
Defining your own SQL functions
Creating stored procedures for flexible, repeatable analysis
Supercharge your SQL knowledge with procedural programming techniques like variables and IF statements
Writing code that writes code, with Dynamic SQL
Requirements
A working knowledge of SQL fundamentals - including SELECT statements, applying criteria, table joins, and aggregate queries - is necessary for success in this course
Microsoft SQL Server 2019 and SQL Server Management Studio; these are both available for free, and I'll walk you through installation and setup
Access to a Windows operating system (SQL Server only runs on Windows)
Specific knowledge of SQL Server is helpful, but not required
Description
Do you already know the basics of SQL, but sometimes get frustrated when you encounter situations where the basics just aren't enough?

Are you a junior analyst who wants to level up to advanced SQL so you can take the next step in your career?

Or maybe you're a data scientist who knows enough SQL to get by, but want to take your skills further so you can spend less time wrangling data and more time building models.

If any of these sound like your situation, then you're in the right place. This course on advanced SQL for data analysis has everything that isn't covered in introductory SQL courses.

The curriculum goes DEEP, spanning all the advanced techniques you'll ever need to wrangle and analyze data in the fastest and most efficient way possible.

And these concepts aren't presented in isolation; everything is taught in the context of real-world analytics scenarios, meaning you'll be ready to apply these techniques on the job from day one.

Here's a look at just some of the things you'll get out of this course:

Make the leap to Senior Analyst by mastering advanced data wrangling techniques with SQL

Become the resident SQL expert on your team

Perform nuanced analysis of large datasets with Window Functions

Use subqueries, CTEs and temporary tables to handle complex, multi-stage queries and data transformations

Write efficient, optimized SQL

Leverage indexes to speed up your SQL queries

Supercharge your SQL knowledge with procedural programming techniques like variables and IF statements

Program database objects like user defined functions and stored procedures that will make life easier for you AND your teammates

Master useful tips and tricks not found in most database courses, like Dynamic SQL

Gain an intuition for what technique to apply and when

Train your brain with tons of hands-on exercises that reflect real-world business scenarios

What makes this course different

There are three things that really set this course apart.

First is its scope. We'll dig deep into the advanced toolbox that SQL has to offer, uncovering techniques to solve problems that leave even senior analysts scratching their heads.

Second is a relentless focus on that practical, real-world applications. Techniques are taught not as abstract concepts, but rather as solutions to common data wrangling and analytics problems. And whenever possible, these techniques are presented, not in isolation, but in combination with other things that have already been covered. This "spiral" approach reinforces concepts you've learned so they stay with you long after taking the course.

Finally, and most importantly, the course provides a treasure trove of coding exercises that give you ample opportunity for hands-on practice. And these exercises are distributed throughout the course - not clustered together after hours of videos. This means you'll have an opportunity to practice every concept you learn, right after you learn it.

So if you want to go from SQL apprentice to SQL master, enroll today. I look forward to seeing you in the course.

Who this course is for:
Data Analysts or BI Professionals wanting to "make the leap" to Senior Analyst/Developer
Data Scientists who aspire to stand out from their peers by going beyond the basics in SQL
Job seekers who want to turbocharge their resumes with advanced SQL skills
Students seeking a comprehensive but practical pathway to SQL mastery
Anyone who wants to take their SQL data analysis skills to the next level

Screenshots

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