Advanced Applied SQL for Business Intelligence and Analytics [Video]

More Information
Learn
  • Put SQL to work for Business Intelligence
  • Develop your SQL skills to advance your career
  • Master advanced topics such as materialized views, common table expressions, advanced data grouping, and more!
  • Bring data into Excel, Tableau or other business software for further analysis and visualization
  • Uncover key insights about your customers, suppliers, and business performance
  • Use your database to make crucial business decisions and grow the bottom line
  • Avoid common mistakes that cost you credibility and time.
About

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!

Style and Approach

This course will teach you to master real-world SQL, write complex queries, and answer very specific questions. In short, it will help you think in SQL.

Features
  • 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.
Course Length 2 hours 49 minutes
ISBN 9781788470803
Date Of Publication 28 Feb 2018

Authors

Jeffrey James

Jeffrey James has been working in the analytics and data space since 2006. With roots in digital marketing and web analytics, he's applied analytical techniques to problems including customer value analysis, financial forecasting, machine learning, and process automation. He's made his share of mistakes on the way to mastery and understands the mindset of a beginner/learner.