The Advanced SQL Server Masterclass For Data Analysis from Udemy

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.

What's inside

Learning objectives

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
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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
Show more
Show less

Syllabus

Before we start coding...

Introduction

IMPORTANT NOTE: PLEASE READ

Installing SQL Server 2019 Express

Installing SQL Server Management Studio

Downloading the AdventureWorks Sample Database

Course Environment Walkthrough

Advanced Analysis With Window Functions

Introducing Window Functions With OVER

Introducing Window Functions With OVER - Exercises

PARTITION BY

PARTITION BY - Exercises

ROW_NUMBER

ROW_NUMBER - Exercises

RANK and DENSE_RANK

RANK and DENSE_RANK - Exercises

LEAD and LAG

LEAD and LAG - Exercises

FIRST_VALUE

FIRST_VALUE - Exercises

Introducing Subqueries

Introducing Subqueries - Exercises

ROWS BETWEEN

ROWS BETWEEN - Exercises

Subqueries

Scalar Subqueries

Scalar Subqueries - Exercises

Correlated Subqueries

Correlated Subqueries - Exercises

EXISTS

EXISTS - Exercises

FOR XML PATH With STUFF

FOR XML PATH With STUFF - Exercises

PIVOT - Part 1

PIVOT - Part 2

PIVOT - Exercises

Common Table Expressions (CTEs)

CTEs - Part 1

CTEs - Part 2

CTEs - Exercise

Recursive CTEs

Recursive CTEs - Exercises

Temp Tables

Temp Tables - Part 1

Temp Tables - Part 2

Temp Tables - Exercises

CREATE and INSERT

CREATE and INSERT - Exercise

TRUNCATE - Part 1

TRUNCATE - Part 2

TRUNCATE - Exercise

UPDATE - Part 1

UPDATE - Part 2

UPDATE - Exercise

DELETE

Optimization

Optimizing With UPDATE - Part 1

Optimizing With UPDATE - Part 2

Optimizing With UPDATE - Exercise

An Improved EXISTS With UPDATE

An Improved EXISTS With UPDATE - Exercise

Introducing Indexes

Optimizing With Indexes - Example

Optimizing With Indexes - Exercise

Lookup Tables - Part 1

Lookup Tables - Part 2

Lookup Tables - Exercises

Views

Views - Exercises

Programming SQL

Variables - Part 1

Variables - Exercise 1

Variables - Part 2

Variables - Exercise 2

Introducing User Defined Functions

NOTE TO STUDENTS

Making Functions Flexible With Parameters

User Defined Functions - Exercises

Table-Valued Functions

Table-Valued Functions - Exercise

Stored Procedures

Stored Procedures - Exercise

Control Flow With IF Statements

Control Flow With IF Statements - Exercise

Using Multiple IF Statements

Using Multiple IF Statements - Exercise

Dynamic SQL - Part 1

Dynamic SQL - Part 2

Dynamic SQL - Exercises

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores advanced SQL techniques, helping learners navigate complex data analysis

Suitable for intermediate SQL learners who want to advance

Provides hands-on exercises for practical application

Taught by industry experts with a strong reputation

Covers topics relevant to real-world data analysis scenarios

Requires prior SQL knowledge and may require additional prerequisites

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Advanced SQL Server Masterclass For Data Analysis with these activities:

Review Basic SQL Concepts

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Refreshing your knowledge of basic SQL concepts will help you prepare for the more advanced topics covered in the course.

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Review the course materials on basic SQL concepts.
Complete the practice exercises provided in the course.

Create a Database and Populate it with Data

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Creating a database and populating it with data will give you hands-on experience with the fundamental concepts of SQL.

Browse courses on Inserting Data

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Choose a database management system (e.g., MySQL, PostgreSQL).
Create a new database.
Create tables and define their columns.
Insert data into the tables.
Verify that the data was inserted correctly.

Attend a SQL Meetup or Conference

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Connecting with other SQL professionals can provide you with valuable insights and networking opportunities.

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Find a local SQL Meetup or conference.
Register for the event.
Attend the event and participate in discussions.
Connect with other SQL professionals.

Six other activities

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Follow tutorials on advanced SQL techniques

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Enhance your SQL skills by following online tutorials that cover advanced techniques such as window functions, CTEs, and stored procedures.

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Search for tutorials on specific SQL techniques
Watch the tutorials and take notes
Practice the techniques in the tutorials

Practice database queries

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Practice writing and executing SQL queries to reinforce your understanding of the syntax and concepts covered in the course.

Browse courses on SQL Queries

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Set up a database environment
Write queries to retrieve data, filter data, and perform aggregations
Use subqueries, joins, and other advanced techniques

Complete the Exercises in the Course

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Practicing SQL queries in the exercises provided in the course will help you solidify your understanding of the concepts and techniques taught.

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Follow the instructions in each exercise.
Execute the queries and verify the results.
Review the solutions provided in the course.

Build a data analysis dashboard

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Create a data analysis dashboard that visualizes and analyzes data using the techniques covered in the course.

Browse courses on Dashboard

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Gather and clean the data
Design the dashboard layout and visualizations
Implement the dashboard using a data visualization tool

Attend an Advanced SQL Workshop

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Attending an advanced SQL workshop can give you the opportunity to learn from experts and ask specific questions related to the topics covered in the course.

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Find an advanced SQL workshop that fits your needs.
Register for the workshop.
Attend the workshop and participate in discussions.
Apply the concepts learned in the workshop to your work.

Contribute to an Open-Source SQL Project

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Contributing to an open-source SQL project will allow you to gain practical experience and connect with the SQL community.

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Find an open source SQL project to contribute to.
Read the project's documentation.
Identify a feature or bug that you can work on.
Implement the feature or fix the bug.
Submit a pull request.

Career center

Learners who complete The Advanced SQL Server Masterclass For Data Analysis will develop knowledge and skills that may be useful to these careers:

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The Advanced SQL Server Masterclass For Data Analysis

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