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Data & AI for Business

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

Applications open until 27/11/2026

Sustainable Development Goals

04 Quality Education
08 Decent Work and Economic Growth
09 Industry, Innovation, and Infrastructure
11 Sustainable Cities and Communities
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