Advanced Applied SQL for Business Intelligence and Analytics
What you'll 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.
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!
All the resource files are added to the GitHub repository at https://github.com/packtpublishing/-advanced-applied-sql-for-business-intelligence-and-analytics
