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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

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

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Before we start coding...
6
1.1-Introduction
1.2-IMPORTANT NOTE: PLEASE READ
1.3-Installing SQL Server 2019 Express
1.4-Installing SQL Server Management Studio
1.5-Downloading the AdventureWorks Sample Database
1.6-Course Environment Walkthrough
2-Advanced Analysis With Window Functions
16
2.1-Introducing Window Functions With OVER
2.2-Introducing Window Functions With OVER - Exercises
2.3-PARTITION BY
2.4-PARTITION BY - Exercises
2.5-ROW_NUMBER
2.6-ROW_NUMBER - Exercises
2.7-RANK and DENSE_RANK
2.8-RANK and DENSE_RANK - Exercises
2.9-LEAD and LAG
2.10-LEAD and LAG - Exercises
2.11-FIRST_VALUE
2.12-FIRST_VALUE - Exercises
2.13-Introducing Subqueries
2.14-Introducing Subqueries - Exercises
2.15-ROWS BETWEEN
2.16-ROWS BETWEEN - Exercises
3-Subqueries
11
3.1-Scalar Subqueries
3.2-Scalar Subqueries - Exercises
3.3-Correlated Subqueries
3.4-Correlated Subqueries - Exercises
3.5-EXISTS
3.6-EXISTS - Exercises
3.7-FOR XML PATH With STUFF
3.8-FOR XML PATH With STUFF - Exercises
3.9-PIVOT - Part 1
3.10-PIVOT - Part 2
3.11-PIVOT - Exercises
4-Common Table Expressions (CTEs)
5
4.1-CTEs - Part 1
4.2-CTEs - Part 2
4.3-CTEs - Exercise
4.4-Recursive CTEs
4.5-Recursive CTEs - Exercises
5-Temp Tables
12
5.1-Temp Tables - Part 1
5.2-Temp Tables - Part 2
5.3-Temp Tables - Exercises
5.4-CREATE and INSERT
5.5-CREATE and INSERT - Exercise
5.6-TRUNCATE - Part 1
5.7-TRUNCATE - Part 2
5.8-TRUNCATE - Exercise
5.9-UPDATE - Part 1
5.10-UPDATE - Part 2
5.11-UPDATE - Exercise
5.12-DELETE
6-Optimization
13
6.1-Optimizing With UPDATE - Part 1
6.2-Optimizing With UPDATE - Part 2
6.3-Optimizing With UPDATE - Exercise
6.4-An Improved EXISTS With UPDATE
6.5-An Improved EXISTS With UPDATE - Exercise
6.6-Introducing Indexes
6.7-Optimizing With Indexes - Example
6.8-Optimizing With Indexes - Exercise
6.9-Lookup Tables - Part 1
6.10-Lookup Tables - Part 2
6.11-Lookup Tables - Exercises
6.12-Views
6.13-Views - Exercises
7-Programming SQL
19
7.1-Variables - Part 1
7.2-Variables - Exercise 1
7.3-Variables - Part 2
7.4-Variables - Exercise 2
7.5-Introducing User Defined Functions
7.6-NOTE TO STUDENTS
7.7-Making Functions Flexible With Parameters
7.8-User Defined Functions - Exercises
7.9-Table-Valued Functions
7.10-Table-Valued Functions - Exercise
7.11-Stored Procedures
7.12-Stored Procedures - Exercise
7.13-Control Flow With IF Statements
7.14-Control Flow With IF Statements - Exercise
7.15-Using Multiple IF Statements
7.16-Using Multiple IF Statements - Exercise
7.17-Dynamic SQL - Part 1
7.18-Dynamic SQL - Part 2
7.19-Dynamic SQL - Exercises