The Advanced SQL Server Masterclass For Data Analysis

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Last updated 8/2024
Created by Travis Cuzick
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 82 Lectures ( 8h 7m ) | Size: 2 GB

Take your SQL skills - and your career - to the next level

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
Access to a Windows 10 operating system (SQL Server only runs on Windows); there are known compatibility issues between Windows 11 and SQL Server 2019, so I STRONGLY recommend Windows 10 for this course. If you only have access to a Windows 11 machine, you can install SQL Server 2022 instead.
Microsoft SQL Server 2019 and SQL Server Management Studio; these are both available for free, and I'll walk you through installation and setup.
A working knowledge of SQL fundamentals - including SELECT statements, applying criteria, table joins, and aggregate queries - is necessary for success in this course.
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 SQLBecome the resident SQL expert on your teamPerform nuanced analysis of large datasets with Window FunctionsUse subqueries, CTEs and temporary tables to handle complex, multi-stage queries and data transformationsWrite efficient, optimized SQLLeverage indexes to speed up your SQL queriesSupercharge your SQL knowledge with procedural programming techniques like variables and IF statementsProgram database objects like user defined functions and stored procedures that will make life easier for you AND your teammatesMaster useful tips and tricks not found in most database courses, like Dynamic SQLGain an intuition for what technique to apply and whenTrain your brain with tons of hands-on exercises that reflect real-world business scenariosWhat makes this course differentThere 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

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