DS&BI Academy at the University of Economics and Business

DS&BI Academy educates future professionals in data science & business intelligence through workshops.

Adastra is one of the partners of the project, which has been organized for several years by the Faculty of Information Technology of the Prague University of Economics and Business.

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Practice-focused teaching

Our goal is to show that the world of Data Science is achievable if you have the desire to learn. Every year we innovate the teaching together with the VŠE and we solve the problems in tools that correspond to the technological advances in the field.

We show everything with practical examples.

We assign tasks from block to block to make learning as intensive as possible.

Students work in teams to solve the problems which corresponds to real-life practice.

We place great emphasis on the final project and its defense.

We provide consultation and advice to the participants during the whole time.

Banks, mobile operators, and e-shops - all collecting big data

Tracking which goods people buy, how often, and under what conditions is crucial for mutual satisfaction and building customer loyalty, says Dagmar Bínová, Big Data Science Leader at Adastra, in an interview for Studenta magazine.

  • What different use cases can big data be used for?
  • How does Adastra work with big data?
  • How does Adastra lead the courses within the DS&BI Academy of the University of Economics?
Read the interview (CZ)
“We need educated colleagues not only on our side but also on the other side – at the customer’s side. It turns out that today there are generally not enough of such people, and so there is no choice but to do something to ensure that graduates come out of schools with the education they need. The VŠE is very close to Adastra in terms of the profile of its graduates, so it was chosen.”
Dagmar Bínová, Big Data & Data Science Team Lead, Adastra

Adastra's course agenda includes

Basic modelling principles

Business requirements analysis

Creation of attributes and models


Previous years at a glance

Each year of the Adastra-led course has been spiced up with new challenges.

Fifth year (2022): How will the quality of life of residents affect the election results?

For five years, we have followed a standard agenda, which means that after introducing data science, we focus on preparing data maps, creating analytical models, and evaluating and interpreting them.

The winning project this time was the prediction of voter turnout based on data related to the population’s quality of life.

Our lecturing team was significantly changed this year. It consisted of Dagmar Bínová, Radek Nevyhoštěný, Markéta Navrátilová helped with the preparation, and Jan Jirka sat on the defense committee.

Read a summary of the fifth year in the article.

Read the article

Fourth year (2021): The course is completely online

Even covid-19 didn’t stop us, even though the whole year was online due to the pandemic. We just seamlessly transitioned to the virtual environment. The quality of teaching didn’t suffer. We just missed the face-to-face contact.

Markéta Navrátilová has newly joined the teaching duo.

Third year (2019/2020): The winning project has the potential to contribute to accident prevention

The year was lectured by Jakub Augustín and Dagmar Bínová. The cloud environment was replaced by the servers of the data center of the University of Economics.

The sample case analysis took place over housing data. The winning project was the analysis of fatal traffic accidents, which has great potential for prevention and creating measures to reduce accidents.

Read an interview with the winning team, the lecturers, and the founder of the DS&BI Academy VŠE himself.

Read the interview (CZ)

Second year (2018/2019): What were the Titanic passengers' chances of survival?

On the cloud, we used the Jupyter tool. Using real data about the Titanic passengers, we tried to predict whether they would survive or drown. This included seemingly unrelated data (gender, cabin, when the person boarded, names, titles, or who paid how much for the ticket, etc.).

The team of lecturers was completed by Oleg Masajlo.

Read the article about the course and the evaluation of the students themselves.

Read the article (CZ)

First year (2017/2018): Who plays and doesn't score, is probably looking for patterns

League of Legends game marked the pilot year. In a cloud-based big data platform (Spark, Zeppelin), students used real data to design and build a prediction model to predict the winner.

Jakub Augustín, Dagmar Bínová, and Marcel Vrobel taught the course.

Are you interested in the introductory year of the academy? Read the interview with the course lecturers prepared by Adastra.

Read the interview (CZ)

Would you like to apply?

Find out more information and opportunities to participate in the next edition of the DS&BI Academy, which takes place at the University of Economics in Prague.

Our lecturers

Dagmar Bínová, Adastra
Dagmar Bínová
Big Data & Data Science Team Lead
Marcel Vrobel
CTO, Adoki
Oleg Masajlo
Senior Data Scientist
Radek Nevyhoštěný
Data Scientist
Jan Jirka
Data Analyst/Data Scientist
Markéta Navrátilová
Data Scientist
Lukáš Vosecký
Big Data Consultant

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