Data science with Microsoft – Training materials

Today I’ll be guiding you through the, sometimes very busy, world of Microsoft training material.
We’ll put the focus on the training material for data science.

Expect everything you need to become fluent with Microsoft’s Data science solutions.

  • Free training courses with certificates
  • Free webinars & recordings of live sessions
  • Free (e-)books
  • Documentation & Learning Paths
  • Microsoft Virtual Academy

Read on for the good stuff!

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Microsoft Foundation Sessions at PASS Summit 2015

This years PASS Summit has seen some of the biggest announcements in SQL Server and Microsoft Business Intelligence history.

  • We’ve finally gotten a clear vision where Microsoft is heading.
    And it even makes sense!
  • Microsoft already was the leader in Gartner’s Magic Quadrant for Operational Database Management Systems
    But SQL Server 2016 will bring even more improvements.
  • In the past year, Power BI has gone from “OK” to “Nice” to “Wooooooooow“.
    With all the new announcements, it seems like Microsoft is not even taking it’s foot of the throttle.
  • Cortana Analytics Suite is Microsoft’s way to help you get insight and take action on your data.
    It’s basically everything you need for your Data Science scenario’s.

Below are some Microsoft Foundation sessions from the PASS Summit that talk about these products and what you can expect from them, now and in the future.

If you’re interested in just a list of features, check out Chris Webb’s blog post about the announcements.

Business Intelligence

Advanced Analytics

Big Data and Data Warehousing

Developing Modern Applications on Azure


Video’s via

Holding off the cloud?

I’m interested to know some of the reasons you’re currently not moving your data, or at least a part of it, to the cloud.

Tell me the reason you’re not likely to use a cloud service like
Or do you know someone who’s not going to put their data in the cloud? Let me know as well!

Did you know about Power BI’s ability to connect to your on site data? And it’s ability to not put your data in the cloud? Does this want to make you adopt Power BI?


Seriously, tell me your reasons and I’ll do my best to address these issues in an upcoming blog post.

I want YOU to comment, tweet, hit me up on LinkedIn, or use whatever method suits you the best. Just let me know the reason (or reasons) you’re currently holding off the boat on adopting “the cloud” for your data analytics.

Let’s get this discussion going!15145-illustration-of-a-stormy-cloud-with-a-warning-symbol-pv[1]

Power BI 2.0 – Day 1: Introduction

This entry is part 1 of 2 in the series Power BI: Zero to hero

Power BI Logo

Power BI: Zero to Hero series
Day 1: introduction

Today we’ll look at what Power BI was, is and can be thanks to users everywhere.

In this blog series, together we’ll go from beginner to expert in Power BI as fast as humanly possible.
On our path, we’ll use Microsoft and non-Microsoft resources and we’ll try to explore what Power BI can add to an enterprise BI stack.

We’ll be using datasets like the old AdventureWorks database and any useful databases we can get from opendata initiatives.
But we’ll also explore the new data source possibilities included with Power BI.
These include web pages, OData feeds, On-Premise Tabular models and much more.

This series will be split into “days”. With each day representing a bitesize and mostly self-contained “module”.
You can either go through all the content at once or pace it 1 day at a time.
As busy as everyone is these days, it is my suggestion to go through each “day” during a lunch, a quiet evening or even in a short group session at work.

This way, together we’ll go step by step through the desktop application and the web service.
Along the way we’ll learn to work with Power BI and discover in which way, different parts can be fitted into an existing Enterprise Business Intelligence solution.

Read on to get started!

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