The Level 2 course revolves around learning to lead a data‐science initiative and achieve real impact. This 12-month program is targeted at professionals who want to deep‐dive in advanced‐level topics, including privacy law & data security, process mining and advanced data architectures. Become a Certified Lead Analytics Translator.
The business-savvy and creative thinking of an Analytics Translator by taking a leading role in the development of your organization’s data ambitions.
Electives, including advanced data architectures, data science and cognitive science, advanced machine learning & AI, and business analytics.
Turn data insights into concrete, measurable, strategic actions in your organization and create business value from data and analytics.
From Level 1 and up, our programs offers a range of electives. In the second half of the Level 1 program you can either choose a specialization (sector) or choose your own learning path. Together with a mentor you choose the electives that are most relevant to you. Electives like:
The T shape visualizes the idea that a successful career is based on the combination of deep technical expertise (the vertical bar) and wide and broad boundary-crossing skills (the horizontal bar).
Data scientists master the technical skills of data engineering, and know how to use data-warehouses, build a data pipeline and access Big Data cloud solutions. They have the analytical skills of machine learning, and can translate a business opportunity into a data-science problem, apply the data-analytic workflow to develop a model, and test and implement it in a Python environment.
Data scientists are also business savvy, understand how business models and strategies work, are able to manage data-science projects delivering results, and in general, know what it takes to get things done in large and complex organizations.
And discover the possibilities of our Level 2 program.