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.
Learn moreOur 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.
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.
Basic modelling principles
Business requirements analysis
Creation of attributes and models
Evaluation
Each year of the Adastra-led course has been spiced up with new challenges.
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.
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.
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.
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.
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.
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.
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