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

Traffic lights

Read about what's good

what should give you pause

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

Reviews summary

Advanced sql for real-world data analysis

According to students, this course is a game-changer for those looking to level up their SQL skills from a basic understanding to an advanced level needed for data analysis. Learners frequently highlight the instructor's clear explanations and the course's strong emphasis on hands-on exercises and real-world application, making it immediately useful for their jobs. Specific topics like Window Functions, CTEs, and Dynamic SQL are praised for their thorough coverage. While largely positive, some learners noted inconsistent pacing or a need for more prior intermediate knowledge to fully grasp all concepts smoothly, suggesting it might be better for high-intermediate users rather than strict beginners moving to advanced.

Equips learners with skills for career advancement.

"This course is an absolute game-changer for anyone wanting to seriously level up their SQL skills."

"This course fills a huge gap between beginner SQL and what's actually needed in a data analysis role."

"It truly equips you with the skills to tackle real-world data problems."

"Overall, a solid investment for my career development."

Comprehensive dive into key advanced SQL features.

"I particularly found the sections on Window Functions and Dynamic SQL to be extremely well-explained and practical."

"It covers a lot of ground, from CTEs to stored procedures."

"I learned a ton about performance optimization with indexes and user-defined functions that I didn't get from other courses."

"The content on window functions and CTEs alone is worth the price."

Ample practical opportunities to reinforce learning.

"The hands-on exercises truly solidify the concepts."

"The practical application focus is superb."

"The hands-on practice makes a huge difference."

"The practical exercises are the highlight of the course for me."

Excellent explanations and real-world scenarios.

"The instructor's explanations are incredibly clear, and the hands-on exercises truly solidify the concepts."

"This masterclass broke down advanced topics like recursive CTEs and optimization techniques into understandable chunks."

"It truly equips me with the skills to tackle real-world data problems."

"I've been able to apply these techniques immediately at work."

Some found the pace uneven, requiring more prior knowledge.

"I found the pace inconsistent. Some topics were covered too quickly for an 'advanced' course..."

"...assuming a bit too much prior knowledge on certain aspects beyond basic SQL."

"While it claims to be advanced, it often revisits basic concepts briefly, then jumps to complex ones without enough scaffolding."

"I felt I needed to consult external resources quite a lot to follow along."

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

Expand to see all activities and additional details

Show all nine activities

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:

Reading list

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The Advanced SQL Server Masterclass For Data Analysis

What's inside

Learning objectives

Syllabus

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Reviews summary

Advanced sql for real-world data analysis

Activities

Career center

Reading list

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