Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Type D and Type F activities
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in International Economics and Business - Enrollment from 2025/2026| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Job Club | D |
Paola Signori
(Coordinator)
|
| 1° 2° | Marketing plan | D |
Virginia Vannucci
(Coordinator)
|
| 1° 2° | Soft skills Coaching Days (Esu 4 job) - 2021/2022 | D |
Paola Signori
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Data Analysis Laboratory with R (Vicenza) | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Data Visualization Laboratory | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Python Laboratory | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Advanced Excel Laboratory (Vicenza) | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Excel Laboratory (Vicenza) | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Samsung Innovation Camp | D |
Marco Minozzo
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | An introduction to multivariate statistical analysis using R - 2021/2022 | D |
Francesca Rossi
(Coordinator)
|
| 1° 2° | Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public | D |
Federico Brunetti
(Coordinator)
|
| 1° 2° | English for business and economics | F |
Angelo Zago
|
| 1° 2° | Integrated Financial Planning | D |
Riccardo Stacchezzini
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | La metodologia SEM applicata allo studio della relazione tra gestione del rischio e performance nelle PMI | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Laboratory on research methods for business | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Professional Communication for Economics A.A. 2021-22 | D |
Claudio Zoli
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | How to Enter in a Foreign Market. Theory and Applications - 2021/2022 | D |
Angelo Zago
(Coordinator)
|
Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 (2021/2022)
Teaching code
4S010380
Teacher
Coordinator
Credits
2
Also offered in courses:
- Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 of the course Master's degree in Corporate governance and business administration
- Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 of the course Master’s degree in Business Administration and Corporate Law
- Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 of the course Master’s degree in Banking and Finance
- Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 of the course Master’s degree in Economics and Data Analysis
- Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 of the course Master’s degree in Marketing and Corporate Communication
- Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 of the course Master’s degree in Management and business strategy
Language
English
Scientific Disciplinary Sector (SSD)
NN - -
Period
primo semestre (lauree magistrali) dal Oct 4, 2021 al Dec 17, 2021.
Learning outcomes
At the end of this class, the student will know more about how to collect, manage and use data for business analytics purposes, using Excel proficiently:
▪ to use data for descriptive purposes;
▪ to use data for predictive purposes;
▪ to use data for prescriptive purposes.
Program
1. The concept of Business Analytics (what is it?, why is it needed?, what is it good for?, how can we
implement it?
2. Descriptive analytics
2.1. Visualization, exploration and data analysis
2.1.1. Pivot Tables
2.1.2. Dashboards
3. Predictive analytics
3.1.Predictive models (from causal models to time series models)
3.2. Excel tools for predictive analytics with practical international examples (what if analysis, scenario
manager, data tables) using OECD data.
4. Prescriptive analytics
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Periodo di svolgimento: tra fine ottobre e inizio novembre 2021
Destinatari: Studenti del CdLM in IEB; il corso è però aperto anche agli studenti di altri CdLM, fino ad un massimo di 30 partecipanti.
Examination Methods
The recognition of credits is subject to the attendance of the scheduled classes and the passing of a final test consisting of the application of the concepts learned during the module to a database chosen by the student and the preparation of a summary report of the analysis performed (about 2000 words).
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Data proposta per l’appello verbalizzante: 15 gennaio 2022
Impegno orario richiesto: 50 ore
