Past courses

Business analysts and programmers are getting more and more into contact with advanced analytics. Although not the core of their job, it is important that they gain an initial understanding of what it is, and what value it can bring to their organization. Therefore, we have created a 2-day introductory course in Data Science explaining all the important concepts, and the process that leads to a successful project. We end the course with practical examples and applications of machine learning to give food for thought for all participants.

This 2 day course covers basic and advanced functionality of SAC for planning and combines expert training and advice with hands-on exercises in your individual SAC training environment.

This 2 day course covers basic and advanced functionality of SAC for reporting and combines expert training and advice with hands-on exercises in your individual SAC training environment.

In this course we learn you how to embrace Azure DevOps for Data Analytics. This course highlights the principles of DevOps including what is CICD, what is infrastructure-as-code, what is git, what is a pull request, etc but also has hands-on exercises using git, Azure Pipelines, Infrastructure-as-code using ARM and use of DevOps within Azure Data Factory and Azure Databricks. This course is not focused on teaching agile of scrum methodology but rather to 'how to practically do it for BI & Anaytics using Azure DevOps'

After this course, you will know all basics on how to use Azure DevOps for your Azure BI or Analytics environment.