To meet the growing demand for cutting-edge expertise, the Nordic, NKJ co-funded network NADAS has developed a brand-new course curriculum for data scientists. Through international training in the scientific programming languages Julia and R, the goal is to train the next generation of experts for both academia and industry.
The need for skilled agricultural data scientists is growing rapidly. To tackle this challenge, the NADAS network (Nordic across-domain network of agricultural data scientists) has developed and successfully organized two tailored specialist courses, featuring teachers and participants from multiple countries:
- “Scientific computing using Julia language” – a deep dive into one of the fastest-growing languages for advanced computing.
- “Statistical methods in animal breeding” – with a specific focus on Genomic Selection and Genome-Wide Association Studies (GWAS).
The training centered on fundamental methods and practical applications using the widely used scientific programming languages R and Julia. To keep the Nordic data community at the forefront and contribute further to talent development, the goal is to organize these developed courses repeatedly, with their contents continuously adjusted according to up-to-date developments in the area.
Behind this educational initiative is NADAS, which has built a large Nordic, across-domain network of agricultural data scientists working in academia and industry.
The courses and the network respond to immense interest, not only from researchers, but from the business sector. The interest has been so great that individuals from the industry have approached the network on their own initiative to join. By acting as a knowledge exchange platform through dedicated sessions targeting industry needs, the initiative now serves as a crucial bridge for communication, research, and cooperation across the Nordic countries.














