By combining the stream processing capabilities of Azure Stream Analytics and the data visualization capabilities of Microsoft Power BI, you can create real-time data dashboards.

As the big data era unfolds, developments in sensor and information technologies are evolving quickly. As a result, science and businesses are yielding enormous amounts of data. Ideally this data provides valuable insights for decision-making in real time. But processing data the traditional way is no longer possible. Join Wageningen University & Research, #1 university Animal Sciences and Agriculture, and learn how to best handle big data sets. Enrol now.

This course is a quick getting started guide to Watson Studio for Data Scientists ranging from a student to professional level.

Building web map applications like a pro

From Beginner to Advanced | 4 Hands-On Projects

Learn the Fundamentals of XPath and Selenium to Scrape the Data from the Web

Learn to retrieve and parse information from the internet using the Python library scrapy.

Learn how to efficiently collect and download data from any website using R.

Grundlagen von XPath und Selenium für die Daten-Extraktion aus dem Web

From Beginner to Advanced | 3 Hands-On Projects

Learn how to work with compute targets and environments in the Azure Machine Learning workspace.

Learn how to work with compute targets in Azure Machine Learning. Compute targets allow you to run your machine learning workloads. Explore how and when you can use a compute instance or compute cluster.