|Session Date/Time (dd-MM-YYYY 24h)||Speaker||Category||Track||Title|
|28-11-2018 01:00||Brad Llewellyn||Breakout Session (60 minutes)||Advanced Analytics||Azure Machine Learning Studio: Making Data Science Easy(er)|
|28-11-2018 02:00||Tony McGovern||Breakout Session (60 minutes)||Advanced Analytics||Spatial Data Analysis in Power BI|
|28-11-2018 03:00||Julie Hyman||Breakout Session (60 minutes)||Business Intelligence and Data Warehousing||Getting data-driven on a budget|
|28-11-2018 04:00||Joseph Yeates||Breakout Session (60 minutes)||Advanced Analytics||Predictive Analytics with R in Power BI|
|28-11-2018 05:00||Tomaž Kaštrun||Breakout Session (60 minutes)||Advanced Analytics||Common Data Science Mistakes|
|28-11-2018 06:00||Paul Andrew||Breakout Session (60 minutes)||Advanced Analytics||Beyond IoT Real-time Data Ingestion with Azure Stream Analytics|
Event Date: 28-11-2018 01:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics
Event Date: 28-11-2018 02:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics
While I use data from the United States Census Bureau and the Socrata Open Data APIs, what you'll learn can also be reproduced using similar non-U.S. spatial data.
I'll also highlight some commonly used machine learning models you can integrate with Power BI using the popular statistical programming language, R. From clustering algorithms to hotspot analysis, the combination of ArcGIS, Mapbox, R, and Power BI allows us to deliver better and more rigorous insight from our spatial data.
If you're accustomed to mapping data in Power BI and want to be able to perform advanced spatial analysis and visualize more beautiful maps, this is the session for you.
Event Date: 28-11-2018 03:00 - Category: Breakout Session (60 minutes) - Track: Business Intelligence and Data Warehousing
Join us on this webcast to learn about the different approaches to analytics within organizations and what solutions you may wish to consider as you move to be more data-driven.
Event Date: 28-11-2018 04:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics
This session will introduce how to start the shift from descriptive to predictive analysis and how you can begin to leverage the power of machine learning in your business intelligence solutions. No previous knowledge of R or predictive modeling is required!
We will cover the basics and best practices of predictive modeling and then these concepts will be applied to create three different predictive models in R. Then we will cover three ways to integrate the predictive power of these models into a Power BI report.
Event Date: 28-11-2018 05:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics
Event Date: 28-11-2018 06:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics