The Advanced SQL Server Masterclass For Data Analysis

The Advanced SQL Server Masterclass For Data Analysis, available at $109.99, has an average rating of 4.62, with 82 lectures, based on 4442 reviews, and has 49609 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Analysts or BI Professionals wanting to “make the leap” to Senior Analyst/Developer or Data Scientists who aspire to stand out from their peers by going beyond the basics in SQL or Job seekers who want to turbocharge their resumes with advanced SQL skills or Students seeking a comprehensive but practical pathway to SQL mastery or Anyone who wants to take their SQL data analysis skills to the next level It is particularly useful for Data Analysts or BI Professionals wanting to “make the leap” to Senior Analyst/Developer or Data Scientists who aspire to stand out from their peers by going beyond the basics in SQL or Job seekers who want to turbocharge their resumes with advanced SQL skills or Students seeking a comprehensive but practical pathway to SQL mastery or Anyone who wants to take their SQL data analysis skills to the next level.

Enroll now: The Advanced SQL Server Masterclass For Data Analysis

Summary

Title: The Advanced SQL Server Masterclass For Data Analysis

Price: $109.99

Average Rating: 4.62

Number of Lectures: 82

Number of Published Lectures: 82

Number of Curriculum Items: 82

Number of Published Curriculum Objects: 82

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Before we start coding…

Lecture 1: Introduction

Lecture 2: IMPORTANT NOTE: PLEASE READ

Lecture 3: Installing SQL Server 2019 Express

Lecture 4: Installing SQL Server Management Studio

Lecture 5: Downloading the AdventureWorks Sample Database

Lecture 6: Course Environment Walkthrough

Chapter 2: Advanced Analysis With Window Functions

Lecture 1: Introducing Window Functions With OVER

Lecture 2: Introducing Window Functions With OVER – Exercises

Lecture 3: PARTITION BY

Lecture 4: PARTITION BY – Exercises

Lecture 5: ROW_NUMBER

Lecture 6: ROW_NUMBER – Exercises

Lecture 7: RANK and DENSE_RANK

Lecture 8: RANK and DENSE_RANK – Exercises

Lecture 9: LEAD and LAG

Lecture 10: LEAD and LAG – Exercises

Lecture 11: FIRST_VALUE

Lecture 12: FIRST_VALUE – Exercises

Lecture 13: Introducing Subqueries

Lecture 14: Introducing Subqueries – Exercises

Lecture 15: ROWS BETWEEN

Lecture 16: ROWS BETWEEN – Exercises

Chapter 3: Subqueries

Lecture 1: Scalar Subqueries

Lecture 2: Scalar Subqueries – Exercises

Lecture 3: Correlated Subqueries

Lecture 4: Correlated Subqueries – Exercises

Lecture 5: EXISTS

Lecture 6: EXISTS – Exercises

Lecture 7: FOR XML PATH With STUFF

Lecture 8: FOR XML PATH With STUFF – Exercises

Lecture 9: PIVOT – Part 1

Lecture 10: PIVOT – Part 2

Lecture 11: PIVOT – Exercises

Chapter 4: Common Table Expressions (CTEs)

Lecture 1: CTEs – Part 1

Lecture 2: CTEs – Part 2

Lecture 3: CTEs – Exercise

Lecture 4: Recursive CTEs

Lecture 5: Recursive CTEs – Exercises

Chapter 5: Temp Tables

Lecture 1: Temp Tables – Part 1

Lecture 2: Temp Tables – Part 2

Lecture 3: Temp Tables – Exercises

Lecture 4: CREATE and INSERT

Lecture 5: CREATE and INSERT – Exercise

Lecture 6: TRUNCATE – Part 1

Lecture 7: TRUNCATE – Part 2

Lecture 8: TRUNCATE – Exercise

Lecture 9: UPDATE – Part 1

Lecture 10: UPDATE – Part 2

Lecture 11: UPDATE – Exercise

Lecture 12: DELETE

Chapter 6: Optimization

Lecture 1: Optimizing With UPDATE – Part 1

Lecture 2: Optimizing With UPDATE – Part 2

Lecture 3: Optimizing With UPDATE – Exercise

Lecture 4: An Improved EXISTS With UPDATE

Lecture 5: An Improved EXISTS With UPDATE – Exercise

Lecture 6: Introducing Indexes

Lecture 7: Optimizing With Indexes – Example

Lecture 8: Optimizing With Indexes – Exercise

Lecture 9: Lookup Tables – Part 1

Lecture 10: Lookup Tables – Part 2

Lecture 11: Lookup Tables – Exercises

Lecture 12: Views

Lecture 13: Views – Exercises

Chapter 7: Programming SQL

Lecture 1: Variables – Part 1

Lecture 2: Variables – Exercise 1

Lecture 3: Variables – Part 2

Lecture 4: Variables – Exercise 2

Lecture 5: Introducing User Defined Functions

Lecture 6: NOTE TO STUDENTS

Lecture 7: Making Functions Flexible With Parameters

Lecture 8: User Defined Functions – Exercises

Lecture 9: Table-Valued Functions

Lecture 10: Table-Valued Functions – Exercise

Lecture 11: Stored Procedures

Lecture 12: Stored Procedures – Exercise

Lecture 13: Control Flow With IF Statements

Lecture 14: Control Flow With IF Statements – Exercise

Lecture 15: Using Multiple IF Statements

Lecture 16: Using Multiple IF Statements – Exercise

Lecture 17: Dynamic SQL – Part 1

Lecture 18: Dynamic SQL – Part 2

Lecture 19: Dynamic SQL – Exercises

Instructors

Travis Cuzick
Data Solutions Engineer

Rating Distribution

1 stars: 14 votes
2 stars: 27 votes
3 stars: 241 votes
4 stars: 1282 votes
5 stars: 2878 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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