Getting Started in Data Science
We are happy to announce a new edition of the BISS online course for professionals, “Getting Started in Data Science”, which kicks off on 11 May!
Judith Kamalski (BISS Managing Director) says: “It’s great to be able to announce a new and improved version of one of BISS’ flagship courses for Professionals: Getting Started in Data Science. Taking customer feedback and customer needs into account, this new and interesting program offers an overview of techniques and possibilities, and concrete tips to apply in your working environment.”
The academic director of this course, Prof. Dr. Rudolf Müller (Principal Investigator at BISS) points out that the course emphasizes the holistic nature of applying data science. “The program gives not only insights into techniques by which you can extract valuable information from data, but shows also how to use that information for improved managerial decisions and added customer value. Having followed the program, you're ready to discover and judge data science opportunities in your working environment.”
Professionals that want to make a headstart in the exciting and challenging field of data science can either follow the full program or choose from the modules individually.
More information can be found here.
Relevant links
Also read
-
Maastricht University contributes to FASTTRACK: extremely fast particle detection at CERN.
Maastricht University is participating in the FASTTRACK project, which has been awarded a €21.7 million NWO Roadmap grant. FASTTRACK will enable extremely fast detection of particle collisions in the Large Hadron Collider.
-
Harm Askes: “Helping people excel, no need for showmanship.”
Harm Askes, the new vice-dean of FSE “Let’s continue building a faculty where talent shines: no ego, just impact, collaboration, and curiosity."
-
DigiMach: Digital Transformation of the Machining Value Chain for Sustainable Growth
DigiMach is a transnational 3-year collaborative approach that will transform manufacturing across the Meuse-Rhine region by bringing AI, IoT, and robotics to small and medium-sized enterprises in the machining sector. The project will assist more than 150 SMEs to adopt smart, digital tools, through...
