Name: MSCA TRAINING - Data Science @BBU | Digital Finance MSCA
Start: 2025-03-31T09:00:00+02:00
End: 2025-04-04T18:00:00+02:00

The 4EC doctoral training course "Foundations of Data Science" is tailored specifically for doctoral students in finance, providing a comprehensive
and practical foundation in data science as applied to financial analysis and decision-making.
This course equips participants with the essential skills and knowledge required to effectively extract, transform, analyze, and model financial data using Python.
**The starting point of the training school will be on the 20th of March, at 14:00 Romania time, 13:00 CET,** with a scientific seminar of WP1 joint with Cluj Economics and Business Seminar Series (CEBSS) ([https://econ.ubbcluj.ro/cebss.php](https://econ.ubbcluj.ro/cebss.php)) and WP5. We have the pleasure to have as a guest speaker **Prof. Anil BERA** (Jarque-Bera normality test) (Professor of Economics, College of LAS; Affiliated Professor of Statistics, College of LAS; Adjunct Professor of Finance, College of Business Adjunct Professor of Agricultural and Consumer Economics, College of ACES, University of Illinois).
**This scientific seminar is compulsory for the PhD students, as part of the Foundations in Data Science training.**
Please notice that is an hybrid event.

For better organization, please complete the form at the following link:
[https://forms.gle/X68w2hrLRAYwu7m29](https://forms.gle/X68w2hrLRAYwu7m29)
To participate online, use the Zoom invitation link below:
[https://econ-ubbcluj-ro.zoom.us/j/81658602430](https://econ-ubbcluj-ro.zoom.us/j/81658602430)

The seminar and the training week will be held in Room 118 of the Faculty of Economics at Babes-Bolyai Univerisity.

Upon completion, doctoral students will not only be proficient in technical data science skills but also adept at applying these skills within the context of finance. They will be capable of conducting high-level financial analysis, developing predictive models, and translating data-driven insights into actionable strategies. This course bridges the gap between data science and financial theory, preparing students to lead and innovate in the finance industry through rigorous data-driven methodologies.

This event is organized as part of the MSCA Industrial Doctoral Network Digital Finance. The course is open to participants beyond the network, as long as capacity allows. In case of insufficient capacity, doctoral candidates from the network will have priority. Please note that our online stream is available to all.

Codruta Mare

Monica Achim

Stefana Cioban

Liana Stanca

Fulvio Raddi

Zurich AI

Technology

Artificial Intelligence

Big Data

Data Analytics

Predictive Analytics

Financial Services

Finance

Machine Learning

Financial Technology

Data Science

Blockchain

Sustainability

MSCA TRAINING - Data Science @BBU | Digital Finance MSCA 

Faculty of Economics and Business Administration, room 118, Babes-Bolyai University

Share

Zurich AI

MSCA TRAINING - Data Science @BBU | Digital Finance MSCA

Zurich AI

Details

Members are also interested in