Market basket analysis with T-SQL, R, Python, Azure ML and SSAS. You will learn how to recognize good products, products which raise the sales of other products, and toxic products, products which are usually sold alone or are the last product in the basket, thus finishing the shopping. Measures like support, confidence and lift, are explained in details. Sequential basket analysis is covered as well. Demos are developed step by step in T-SQL, in order to show how the calculations are made. Then you will see demos also in other languages and on other platforms.

Presented By: Dejan Sarka

Dejan Sarka, MCT and SQL Server MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of the time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of twenty books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Radacad, Microsoft, SolidQ, and Pluralsight.