Dr. Haug (University of Bern) - Showing Students Industry Data Solutions with Dataiku

shaug

Name:
Sigve Haug

Title:
PD Dr.

Country:
Switzerland

Organization:
Data Science Lab, University of Bern

Description:
The Data Science Lab at the University of Bern is a cross-faculty initiative for open collaboration on data science, machine learning and artificial intelligence topics. It supports and conducts research projects and shares knowledge via a wide range of training offers and seminars. The University of Bern is a university in the Swiss capital of Bern and was founded in 1834. It is regulated and financed by the Canton of Bern. It is a comprehensive university offering a broad choice of courses and programs in eight faculties and some 150 institutes. With around 18’000 students, the University of Bern is the third largest university in Switzerland.

Awards Categories:

• Excellence in Teaching

Challenge:

We offer data science and machine learning training to students and professionals at all levels. The offers range from initial data model design via programming, collaboration tools, mathematics, statistical inference, ethics, etc. to deep learning with all its application possibilities. A comprehensive and intuitive most-in-one solution which simplifies and connects the full workflow was missing in our portfolio.

Solution:

Through introducing students to Dataiku in voluntary training courses, we are able to exemplify a high-level industry solution to data science and machine learning with its advantages and possible limitations. Students in particular appreciate the comprehensive capture of large parts of the workflow in a data science project.

Impact:

The Dataiku training courses show students how high-level industry solutions to data science and machine learning may look like. In particular, they gain an impression of their advantages and possible limitations.

The students appreciate the comprehensive capture of large parts of the workflow in a data science project. In future engagements, they may need to work with Dataiku or similar products.