The Advanced SQL Server Masterclass For Data Analysis
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
A working knowledge of SQL fundamentals – including SELECT statements, applying criteria, table joins, and aggregate queries – is necessary for success in this course
Microsoft SQL Server 2019 and SQL Server Management Studio; these are both available for free, and I’ll walk you through installation and setup
Access to a Windows operating system (SQL Server only runs on Windows)
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.
Overview
Section 1: Before we start coding…
Lecture 1 Introduction
Lecture 2 Installing SQL Server 2019 Express
Lecture 3 Installing SQL Server Management Studio
Lecture 4 Downloading the AdventureWorks Sample Database
Lecture 5 Course Environment Walkthrough
Section 2: Advanced Analysis With Window Functions
Lecture 6 Introducing Window Functions With OVER
Lecture 7 Introducing Window Functions With OVER – Exercises
Lecture 8 PARTITION BY
Lecture 9 PARTITION BY – Exercises
Lecture 10 ROW_NUMBER
Lecture 11 ROW_NUMBER – Exercises
Lecture 12 RANK and DENSE_RANK
Lecture 13 RANK and DENSE_RANK – Exercises
Lecture 14 LEAD and LAG
Lecture 15 LEAD and LAG – Exercises
Lecture 16 Introducing Subqueries
Lecture 17 Introducing Subqueries – Exercises
Section 3: Subqueries
Lecture 18 Scalar Subqueries
Lecture 19 Scalar Subqueries – Exercises
Lecture 20 Correlated Subqueries
Lecture 21 Correlated Subqueries – Exercises
Lecture 22 EXISTS
Lecture 23 EXISTS – Exercises
Lecture 24 FOR XML PATH With STUFF
Lecture 25 FOR XML PATH With STUFF – Exercises
Lecture 26 PIVOT – Part 1
Lecture 27 PIVOT – Part 2
Lecture 28 PIVOT – Exercises
Section 4: Common Table Expressions (CTEs)
Lecture 29 CTEs – Part 1
Lecture 30 CTEs – Part 2
Lecture 31 CTEs – Exercise
Lecture 32 Recursive CTEs
Lecture 33 Recursive CTEs – Exercises
Section 5: Temp Tables
Lecture 34 Temp Tables – Part 1
Lecture 35 Temp Tables – Part 2
Lecture 36 Temp Tables – Exercises
Lecture 37 CREATE and INSERT
Lecture 38 CREATE and INSERT – Exercise
Lecture 39 TRUNCATE – Part 1
Lecture 40 TRUNCATE – Part 2
Lecture 41 TRUNCATE – Exercise
Lecture 42 UPDATE – Part 1
Lecture 43 UPDATE – Part 2
Lecture 44 UPDATE – Exercise
Lecture 45 DELETE
Section 6: Optimization
Lecture 46 Optimizing With UPDATE – Part 1
Lecture 47 Optimizing With UPDATE – Part 2
Lecture 48 Optimizing With UPDATE – Exercise
Lecture 49 An Improved EXISTS With UPDATE
Lecture 50 An Improved EXISTS With UPDATE – Exercise
Lecture 51 Introducing Indexes
Lecture 52 Optimizing With Indexes – Example
Lecture 53 Optimizing With Indexes – Exercise
Lecture 54 Lookup Tables – Part 1
Lecture 55 Lookup Tables – Part 2
Lecture 56 Lookup Tables – Exercises
Section 7: Programming SQL
Lecture 57 Variables – Part 1
Lecture 58 Variables – Exercise 1
Lecture 59 Variables – Part 2
Lecture 60 Variables – Exercise 2
Lecture 61 Introducing User Defined Functions
Lecture 62 NOTE TO STUDENTS
Lecture 63 Making Functions Flexible With Parameters
Lecture 64 User Defined Functions – Exercises
Lecture 65 Stored Procedures
Lecture 66 Stored Procedures – Exercise
Lecture 67 Control Flow With IF Statements
Lecture 68 Control Flow With IF Statements – Exercise
Lecture 69 Using Multiple IF Statements
Lecture 70 Using Multiple IF Statements – Exercise
Lecture 71 Dynamic SQL – Part 1
Lecture 72 Dynamic SQL – Part 2
Lecture 73 Dynamic SQL – Exercises
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
Course Information:
Udemy | English | 7h 9m | 2.22 GB
Created by: Travis Cuzick
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