POSTPONED - Machine Learning and AI Features in Power BI & Deceptive Dax

18/03/2020 - U2U
Zone1 Research Park 110/Z1

Aniek Sies (U2U)
Machine Learning and AI Features in Power BI

Many people use Power BI to visualize their data and gain insights for their business. Often however, a more advanced analysis of the data may be needed or useful. Instead of just visualizing how often a certain product was sold for example, you may want to understand or explain what kind of customers generally buy this product. There are several possibilities to get such insights from within Power BI. In this session, I will start by showing and explaining a few built-in and marketplace visuals for advanced analytics. Then we will look at an example of how Python and R can help us out if we need some more flexibility. Finally, we will have a look at the possibility to incorporate insights in Power Query from machine learning models hosted in Azure.

Nico Jacobs (U2U)
DAX in Power BI

The DAX language is very powerful. Handy to compute the complex business values you need, but oh so frustrating if the DAX expression doesn’t do what you expected it to do. In this session several DAX expressions will be shown which do not always do what most Power BI users expect. Step by step these DAX expressions will be dissected and the evaluation context rules will be made clear such that you understand why the expressions behave different then expected.

Speakers

Aniek Sies

Data & BI Trainer / Consultant at U2U

As a trainer at U2U, Aniek is involved in data- and BI related courses on technologies such as SQL Server, Power BI and Azure Machine Learning Studio and Service. Before joining U2U, she did a PhD in quantitative psychology, in which she developed and applied machine learning methods for optimally assigning patients to different treatments, and worked as a data analyst in Proximus.

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Nico Jacobs

Business Intelligence Trainer and Consultant at U2U

Dr. Nico Jacobs is a Microsoft Business Intelligence and SQL Server trainer and consultant at U2U since 2004. Before that, he was a machine learning (data mining) researcher at the computer science department of the University of Leuven where he obtained a PhD in machine learning.
At U2U, Nico creates and delivers courses on the SQL Server business intelligence stack (Integration Services, Analysis Services, Reporting Services …), Power BI, Azure Cortana Intelligence (Big Data) and the traditional relational database environment (database development and administration).

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