Essentialsql: Sql Window Functions For Business Analytics
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.25 GB | Duration: 3h 27m
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.25 GB | Duration: 3h 27m
SQL Window Functions for SQL Server, MySQL, SQLite & PostgreSQL, for Data Analysis, Business Analytics and Intelligence
What you'll learn
Learn how to incorporate window functions into your SQL queries.
Understand how partitions and windows work together within a query.
Apply window functions so you can avoid using cursors in your SQL.
Understand the difference between window function mechanics and GROUB BY summaries.
Create complex queries involving joins using window functions.
Apply aggregate, analytic, and ranking functions to perform common business tasks such as calculating running totals or comparing one row’s value to the next.
Create queries using either MySQL, PostgreSQL, or SQL Server.
Requirements
You should already be familiar with SELECT, GROUP BY, and ORDER BY clauses
Knowledge of joins and subqueries isn't required, but recommended.
If you can write a simple GROUP BY statement with HAVING, then you are ready for this course.
No special equipment needed, all exercises are done online.
Optional: Install a MySQL, PostgreSQL, or SQL Server learning lab on your own computer.
Description
In this Course you will Learn to:Write simpler queries using window functions.Know how window functions work with partition and other clauses to help you form running totals or compare values from one row to the next.Create complex queries involving joins using window functions.Learn how to use LEAD and LAG to avoid using cursors in your SQL scripts.Write window functions using MySQL, PostgreSQL, SQLite, or SQL Server – your choice! I'm sure they will work with Oracle, I just haven't tested… :)Understand how to set up a window frame and their affect on the window function.Know the difference between window functions and classing GROUP BY results.Work with multiple window functions within a query.Who to use results from a window functions within the same query.Learn to us the three classes of functions: Aggregate, Ranking, and Analytic functions.Nothing is worse thanBeing excited to learn something new but not knowing where to start.Wasting time learning the wrong features.You being overwhelmed with options and not knowing which to use.Imagine Having…Knowledge - Knowing how to quickly use window functions to take your SQL to the next level.Confidence - Feeling good that you’re on the right track.Accomplishment - Having a sense of accomplishment that you've learned something most cannot.By the time you’ve completed this course you’ll have an appreciation of window functions, overcome your fear, and able to use them to simplify some of your very complex queries.
Overview
Section 1: Introduction
Lecture 1 Welcome to the Course
Lecture 2 Why You Should Learn Windows Functions
Lecture 3 What Flavor of SQL Should I Choose?
Lecture 4 How to Take the Course
Lecture 5 Tools Used and Database Setup
Section 2: Warmup
Lecture 6 What is a Window Function?
Lecture 7 GROUP BY versus Window Function Results
Lecture 8 Create Running Totals using SQL Joins versus Window Functions
Section 3: Windows and Partitions
Lecture 9 Introduction
Lecture 10 Window Function Order of Operations
Lecture 11 Using OVER to create a window
Lecture 12 Using PARTITION BY to group rows
Lecture 13 Overcome Window Function Limitations
Section 4: Defining Window Function Frames with ROW and RANGE
Lecture 14 Introduction to Window Frames
Lecture 15 Using Over and Order by with Window Functions
Lecture 16 Introduction to Defining Window Frames using ROWS and RANGES
Lecture 17 Using ROWS to Define the Window Frame.
Lecture 18 Demonstration on Using ROWS to Define the Window Frame
Lecture 19 Using RANGE to define the Window Frame
Lecture 20 Demonstration on Using RANGE to Define a Windows Frame
Section 5: Aggregate Functions
Lecture 21 Introduction to Aggregate Functions with OVER
Lecture 22 Commonly Used Aggregate Functions
Lecture 23 Uncommonly Used Aggregate Functions
Lecture 24 Coding Exercise - Aggregate Functions and OVER()
Section 6: Ranking Functions
Lecture 25 Introduction and Review of Functions
Lecture 26 Comparison of Ranking Functions
Lecture 27 Using the WINDOWS clause.
Section 7: Analytic Functions
Lecture 28 Introduction to Analytic Functions
Lecture 29 Comparison of LEAD, LAG, FIRST_ROW and LAST_ROW functions
Lecture 30 LEAD and LAG Demo
Lecture 31 FIRST_VALUE and LAST_VALUE Demo
Lecture 32 Calculating Percentiles using Window Functions
Section 8: Window Function Recipies
Lecture 33 How Do I Calculate a Running Total Using SQL?
Lecture 34 How Do I Calculate a Moving Average using SQL?
Lecture 35 How Do I Find Duplicates Using Windows Functions
Advanced Beginner to Intermediate SQL query authors curious about window functions.,If you're having a hard time understanding the ins and outs of window functions, then this course is for you as I explain it to you in simple to understand English.,Business analysts looking more ways to write queries.,Data Engineers needing more tools to deal with dirty data, such as an easy means to deduplicate incoming rows.,Recent college graduates looking to hone their SQL skills.,Job applicants looking for that extra edge with their next interview!