The Level 2 program revolves around learning to lead a data‐science initiative and achieve real impact. This 12-month program is targeted at professionals who want to learn to develop machine-learning solutions, and who are also interested to learn the business implications of data science.
Professional skills: taking a leading role in the development of your organization’s data ambitions.
Implementing a data‐science application in your own organization and helping your organization create business value from data and analytics..
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.