What is data science? What can you do with it? Why does it have so much impact in business, industry, healthcare and the public sector? This 6-day course is targeted at professionals and managers eager to learn how to integrate data and analytics into their work. Where data engineers and data scientists are technical experts, business managers and senior professionals need to integrate data and analytics into their work, and ensure that data science connects flawlessly to the business needs. This bridge function between analytics and other business functions is called the Analytics Translator and this program teaches you how to acquire these knowledge and skills.
Participants receive proof of participation.
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!