Let’s talk today about teaching data science with low code and especially with KNIME Analytics Platform.
Does the low code approach help in teaching data science? What is the student target for low code data science? Will low code for data science prepare the students better for their job of the future? Should low code be integrated with AI? Are there any tips and tricks that we can use in the classroom?
We invite you to hear that from the experts.
Agenda:
17:00 “Welcome and a quick update on development of predictive models for home palliative care” by Alberto Montanari, Consultant,
Fondazione ANT Italia ONLUS
and Rita Ostan, Scientific Researcher
Fondazione ANT Italia ONLUS
17:15 "Marketing Analytics with Low Code" by prof. Francisco Villarroel, Associate Professor and Director of the MSc. in Marketing at LUISS Guido Carli University
In this presentation, Francisco will show his experience using KNIME Analytics Platform as an orchestration platform for teaching Marketing Analytics. Some of the topics that will be covered are data manipulation, machine learning, text mining, and computer vision. Through a variety of examples, Francisco will show how to use a low-code approach to handle marketing problems such as content marketing, brand reputation, and customer experience.
17:45 "Teaching Data Science Using Low-Code Workflows - with the help and a touch of GenAI" prof. Michael Berthold (University of Konstanz)
18:15 The first KNIME Distinguished Educator Award goes to …
18:30 Networking & finger food