TASTE THE WORLD OF DATA ANALYTICS AT CEU
Learn from our professor Gabor Bekes and from Georg Heiler (Senior Data Scientist at Magenta Austria) at the coming meetup organized together with the Vienna Data Science Group.
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TALKS ON THE MEETUP
1. From AUC to EUR - what is the worth of a data science project?
Gábor Békés, assistant professor at CEU, research affiliate at CEPR London
We will look at a case study of corporate default prediction and discuss how to quantify the analytical added value.
In this project, we worked as data scientists for a consultancy that was set to decide which firms to have a contract with. This means building a predictive algorithm for classifying firms into two categories: risky and reliable partners. After the pilot project, we had to quantify how a better model created value for the company. This actual case study used financial and management data on 20K companies and made it my textbook.
2. Orchestrating data in the mesh of the fragmented modern data stack
Georg Heiler, senior data scientist & complexity researcher
The fragmented modern data stack has emerged as the unbundling of Airflow. Various tools operate in silos. Dagster as a next-generation data orchestrator allows you to clearly see the data dependencies of the individual pipelines on your data factory floor. Following along with my blog post series about Dagster I will cover:
- Getting started with dagster and building simple data pipelines
- How software-defined assets allow to turn data pipelines around and result in higher quality by allowing to integrate data quality tests straight into the pipelines as well as by separating business logic from infrastructure allowing for better testability.
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Because digital transformation is ongoing in every great business, data scientists and business analysts are now in high demand by international companies.
MASTER'S OF BUSINESS ANALYTICS AT CEU
The program serves a pressing business need of preparing quantitative professionals and key decision makers for data driven businesses and has a modular structure of
- Data Engineering,
- Data Analysis,
- Data Science,
- Data Visualization and
- Managing Analytics.
The specific tools and technologies taught are regularly updated in consultation with industry practitioners. This event shows how you benefit from the cooperation.
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