Foundations of Data Science - Training Week

Join us for this 4ECTS doctoral training course "Foundations of Data Science" tailored specifically for doctoral students in finance, providing a comprehensive and practical foundation in data science as applied to financial analysis and decision-making, along with "Project Management" (1ECTS).

Time & Location

20 Mar 2025, 13:00 – 04 Apr 2025, 18:30

Babes-Bolyai University (BBU), Strada Teodor Mihali 58-60, Cluj-Napoca 400591, Romania

About the event

Register on Meetup:

For the event on March 20th (1 pm - 2 pm): Online Event BBU

For the training week from March 31st - April 4th: MSCA Training Week - BBU

The course 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.

For better organization, please complete the form at the following link: Organization details

To participate online, use the Zoom invitation link below: Zoom participation

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.

Detailed Schedule

Thursday, March 20th, 13:00 - 14:00 (online)

The Last Word on Testing General Nesting Spatial (GNS) Model (Anil Bera)

Monday, March 31st, 9:00 - 20:45 (BBU, room 118)

9:00 – 9:15 Welcome: Econometrics, Statistics and Data Science (Codruta Mare)

9:15 – 10:15 Semantic Search and Knowledge Graphs (Silvia Chirila)

10:30 – 10:45 Introduction to Project Management (Codruta Mare)

10:45 – 12:15 Project Management in a Data Company (Calin Vlad Ginga)

12:15 – 13:45 Lunch Break

13:45 – 14:45 Multivariate Analysis for Digital Assets (Daniel Pele)

15:00 – 19:45 Foundation of Data Science (Liana Stanca, Codruta Mare)

Tuesday, April 1st, 9:00 - 19:30 (BBU, room 118)

09:00 - 10:30 The Data Analysis Lifecycle: Project Management, Methodologies, and Decision Making (Vasile Anton)

10:45-12:30 Unlocking Value - Data Science and the Future of Payments (Vlăduț-Vasile Sima)

12:30 – 14:00 Lunch break

14:00 – 19:30 Estimating the growth potential of bank branches using economic, demographic and social data (Catalin Crisan)

Wednesday, April 2nd, 9:00 - 19:45 ( ABC Incubator)

09:00 – 10:30 Project Management and Stakeholder Engagement (Calin Sahleanu)

10:45 – 12:30 Data Science in Business (TBA)

12:30 – 13:30 Lunch break

13:30 – 15:30 Intro into Agentic AI and LLMs (Stefana Belbe, Dan Andrei Mircea, Andreea Ginga)

15:45 – 19:45 Data Science in Business (TBA)

Thursday, April 3rd, 9:00 - 19:30 (BBU, room 120)

9:00 - 10:30 Project management in Research (Codruta Mare and Monica Achim)

10:45 - 12:15 Status report on the financial data space (Codruta Mare, Liana Stanca)

12:15 - 13:15 Lunch break

13:15 - 14:15 Working session Data Science Research Development – part1 (All teachers)

14:30 - 15:30 Constructive Feedback on Research Drafts (Codruta Mare, all teachers)

15:45 - 19:30 Data Science Research Development (All teachers)

Friday, April 4th, 9:00 - 19:00 (BBU, room 120)

9:00 - 12:00 Showcase Final Presentation Showcase (All teachers, guest speakers)

13:00 – 19:00 Data Science in IRPs (Codruta Mare)

Picture credits: By Andrei Lucian Vaida - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=82622794

Wix Events Google Map

| | | | --- | --- | | `←` | Move left | | `→` | Move right | | `↑` | Move up | | `↓` | Move down | | `+` | Zoom in | | `-` | Zoom out | | `Home` | Jump left by 75% | | `End` | Jump right by 75% | | `Page Up` | Jump up by 75% | | `Page Down` | Jump down by 75% |