Analytics Academy

Machine Learning on Azure

As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 1-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.

Dimensional Data Modeling - Basic/Advanced

Because of a lack of offerings in the Belgian market, element61 has developed a training on Dimensional Data Modeling. The training is an ideal start for people new to Data Warehousing. Dimensional models constitute the beating heart of any sound Business Intelligence & Data Warehousing system. In other words the quality and the final acceptance of our Business Intelligence solution is uttermost dependent on the quality of the dimensional models.

Microsoft Power BI Update Session

Do you want to stay up to date on the new features of Power BI ? Are you overwhelmed but not well inform enough?

Azure fundamentals for BI Professionals

In this fundamentals workshop we aim to share and show what a BI professional should know about building BI and Analytics platforms in the Azure Cloud. In this first day we go through the theory & fundamental concepts on Data & Analytics in Azure. On the second-day, we'll run a full-day technical training where participants get hands-on in Azure.

Using MLflow with Databricks

As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 1-day course we deep-dive on how MLFlow in Azure Databricks can practically be used as MLOps tool. This course is hands-on, practical & concrete and aims to leave the audience with concrete tips & best-practices on how to use MLFlow end-to-end

Data Science training for BI Analysts

Business analysts and programmers are getting more and more in 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 to all participants.

Data Visualization Best Practices

This training teaches you the fundamentals of data visualization. In this course, we go over the most common types of tables and charts, and how you need to choose between those two options. We look at “design best practices” to make graphs and visuals the most efficient and effective. The course also covers the principles of visual perception and how these can help you to make better visualizations and dashboards.

Azure fundamentals for BI Professionals

In this fundamentals workshop we aim to share and show what a BI professional should know about building BI and Analytics platforms in the Azure Cloud. In this first day we go through the theory & fundamental concepts on Data & Analytics in Azure. On the second-day, we'll run a full-day technical training where participants get hands-on in Azure.

Microsoft Power BI coaching workshop

During this 2-days coaching workshop you will be guided step-by-step to get acquainted with the capabilities of Microsoft Power BI. It will enable you to get started with Power BI, build your own dashboards, reports and visualize the data within your company and turn it into insights.

Dimensional Data Modeling - Basic/Advanced

Because of a lack of offerings in the Belgian market, element61 has developed a training on Dimensional Data Modeling. The training is an ideal start for people new to Data Warehousing. Dimensional models constitute the beating heart of any sound Business Intelligence & Data Warehousing system. In other words the quality and the final acceptance of our Business Intelligence solution is uttermost dependent on the quality of the dimensional models.