Are you working in a professional service setting? And eager to learn how Big Data, machine learning and analytics can change the way services are provided by organizations? Consider the data science program at JADS for a boost or switch in your career.
Teaching does not start from theory and technology, but from challenging assignments. Real challenges make learning motivating, helps to get your organization involved, and is a catalyst to achieving real impact. During the program, you complete three CRISP-DM data-science projects:
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.
Data-science applications in professional organizations range from initiatives to make current processes and services more efficient. Common applications are in smart maintenance, production planning, marketing, product and reliability improvement, anomaly detection and early warning systems. But organizations should also think beyond the horizon of current products and services, as data science is creating important
Unlock the power of Data Science for your organisation with a Data Science for Professional Services at JADS. What opportunities does it create, and how to seize them?