Advanced Applied SQL for Business Intelligence and Analytics
Video description
Extend your knowledge of SQL, databases, and BI by mastering complex topics such as materialized views, common table expressions, and advanced data grouping
About This Video
Delve into Customer Value and Cohort Analysis.
Understand the time between event analysis and Top N calculations, in the context of applied business situations.
Analyze data using Excel and or Tableau.
Solve the challenge and conduct a freeform …
Advanced Applied SQL for Business Intelligence and Analytics
Video description
Extend your knowledge of SQL, databases, and BI by mastering complex topics such as materialized views, common table expressions, and advanced data grouping
About This Video
Delve into Customer Value and Cohort Analysis.
Understand the time between event analysis and Top N calculations, in the context of applied business situations.
Analyze data using Excel and or Tableau.
Solve the challenge and conduct a freeform database analysis.
In Detail
This example-driven course provides thoughtful and interactive commentary throughout. We understand the common mistakes and misconceptions you might make and help you navigate tricky SQL concepts.
Window Functions are used in detail throughout the course to solve problems dealing with finding the first order or the Nth instance of an event, computing the timing between events, and new and repeat purchase behaviors among customers. You'll run through the workflow from SQL to a localhost connection in Tableau and also analysis, all of which you'll need in your professional life. Concepts such as CASE statements, common table expressions, and subqueries will be explained via case studies. You'll generate web analytics acquisition source data using Python and then create tables to store your information.
By the end of the course, you will have gone through all the examples and coded them out, and you'll be ready to confidently tackle non-trivial problems. Supercharge your data productivity today with this course and get 100x your time investment back in the next year or two!
Audience
The course is for analysts and developers who have a basic understanding of SQL and interact with data and databases; it will help them understand query complexity with ease.
Chapter 1 : Installing Postgres and Our Initial Dataset
The Course Overview
Installation on Windows and Mac Via Postgres App
Installing pgAdmin
Downloading and Restoring the DVD Rental Database
Chapter 2 : SQL in the Real World and Customer Value Analysis
Finding First Orders
The Window Function ROW_NUMBER() and Using a CTE to Find First Orders
Analyzing New Versus Repeat Buyer Behavior
Customer Value Analysis/LTV Case Study Part One
Customer Value Analysis/LTV Case Study Part Two
Chapter 3 : Time between Events and Mastering Window Functions
The LAG Function
Time between Customer Orders
Analyzing Our Time Since Behavioral Data
NTILE Window Function
Chapter 4 : Freeform Analysis of the DVD Rental Database
First Orders
Top Five Highest Grossing Actors
Films by Most Gross Revenue Per Actor
Does First Rating Rented from Predict Lifetime Value?
Chapter 5 : Additional Advanced Analysis of the Database
Cross Shopping
Computing LTV Summary Metrics Using Correlate Subqueries
CPA and Profitability Analysis Project - Part One
CPA and Profitability Analysis Project - Part Two
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