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!


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.

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Product information

  • Title: Advanced Applied SQL for Business Intelligence and Analytics
  • Author(s): Jeffrey James
  • Release date: February 2018
  • Publisher(s): Packt Publishing
  • ISBN: 9781788470803