Data & AI for Business
The Centre for Training and Lifelong Learning (K.E.DI.VI.M) of the University of Crete organises course with title
Data & AI for Business: Turning Data and AI into Business Value
The programme will be implemented in English.
The program is conducted with blended learning (10% face-to-face -hybrid, 20% asynchronous and 70% synchronous).
Discover the Programme:
Join an online information session to learn about the programme’s content, learning approach and practical details, and ask your questions.
Dates: 4 November & 23 November 2026
Register here
Sustainable Development Goals




- 1 Description
-
Data & AI for Business combines the best of two worlds: The program aims to learn participants to reproducible analytical methods – including segmentation, predictive modelling, and sentiment analysis – to generate reliable insights. At the same time, they use Generative AI to interpret results, critically challenge hypotheses and translate insights into actionable business recommendations.
The programme focuses on practical and accessible approaches to creating business value with Data & AI – without requiring large investments, complex IT infrastructures or dedicated data science teams. Using a modern data science environment combining KNIME and Python, and working on realistic business scenarios, participants learn how to turn existing data into better business decisions.
By the end of the programme, participants will be able to identify relevant Data & AI use cases, build and evaluate analytical workflows and translate insights into concrete business actions. The programme is suitable for organisations of all sizes and particularly relevant for small and medium-sized enterprises (SMEs) seeking pragmatic and cost-effective ways to leverage Data & AI.
Who it is aimed at
- Business professionals and managers who want to use Data & AI to improve decision making, optimise processes and create business value across different functions
- Professionals and managers in tourism and hospitality, as well as other service industries, seeking to leverage Data & AI for areas such as demand forecasting, customer experience, pricing and operational efficiency
- Data analysts, BI specialists and professionals working at the interface between business and data
Participation fee: 500 Euros
In 2 instalments.
- 2 Content
-
Teaching Module Duration of teaching modules (hours) 1. Data & AI for Business: Foundations & Use Cases 9 2. Data Strategy, Quality & AI Readiness 4 3. Data Exploration, Segmentation & Profiling 10 4. Business Value & Performance Analytics 5 5. Predictive Modelling & Machine Learning 13 6. Forecasting, Recommendation & Decision Models 14 7. Text Analytics, Sentiment & Generative AI 9 8. Data Science Workshop I – KNIME & Python 9 9. Data Science Workshop II – Integrated Business Project 9 10. Final Presentations & Evaluation 8 TOTAL HOURS 90 - 3 Scientific Coordinator
-
K.Magoutis
- 4 Trainers
-
Dr. Evangelos Xevelonakis
Professor, HWZ University of Applied Sciences for Business Administration
Zurich – Center for Data Science
Profile
Dr. Evangelos Xevelonakis is an expert in Customer Relationship Management, Business Informatics, and Knowledge Extraction.
He is a Professor at the Zurich University of Applied Sciences in Business Administration (HWZ) and CEO of SWISS VALUENET.
He has extensive experience in organizations such as Swisscom, Credit Suisse, and various international institutions.
Participation fee
500 €
Workload
150
Teaching Hours
90
Start Date
03/12/2026
Duration
3 months
ECTS
6
Scientific Coordinator
Academic Coordinator
E. Xevelonakis
Applications until
27/11/2026
Information & Registration
kedivim@uoc.gr
