Eager to learn to develop machine-learning solutions, and also interested to learn the business implications of data science? Big Data and analytics are changing the world rapidly. This unique course prepares you for a leading role in this new business reality.
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 opportunities to augment products with new value based on analytics-driven services, and in the long run is the basis for new, data-driven business models.
We’ve created a welcoming and warm online teaching environment, which we use as long as the covid situation prevents classroom teaching. Instructors and teaching technologies are adjusted to online teaching. We miss the friendly and inspirational atmosphere of our historic campus, but the teaching effectiveness of online course matches that of classroom teaching!