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IDAO 2021 Qualifying Round Comes to a Close

IDAO 2021 Qualifying Round Comes to a Close

© https://idao.world/

30 teams have advanced to the finals of the 2021 International Data Analysis Olympiad (IDAO) after passing the qualifying round, which was dedicated to the search for dark matter.

The Olympiad is held for novice analysts and scientists to help them try their hand at real-world problems. The competition is held on the Yandex.Contest platform.

In this year’s IDAO qualifying round, participants had to build a model to detect dark matter. This is not an easy task given that dark matter does not interact with light and has very little contact with other matters. The model had to classify processes already known to scientists and exclude them from the search for dark matter.

30 teams (totaling 84 people) from 15 countries were able to complete the task most successfully and advance to the final round. They will be joined by 4 winners and medalists of IDAO 2020. Now they have to solve a problem provided by the competition’s platinum partner, Otkritie Bank. Participants will have 36 hours to solve a real problem aimed at maximizing the effect of personal advertising communications with bank customers.

In 2021, the HSE Faculty of Computer Science and Yandex will host the Olympiad for the fourth time. The countries most represented in participant registration for the Olympiad were Russia, India, the USA, Peru, and France. 648 teams took part in the Olympiad, 43% of which were comprised of Bachelors students, 19% of which were Master’s students, and 4% of which were PhD students. 34% were representatives of the industry.

Sergey Karapetyan, Chief Coordinator of the IDAO Olympiad

For several years now, we have been creating the IDAO tasks from different areas in the qualifying round and in the final. We are very proud of the Olympiad participants’ success, because the task of the qualifying round, which dealt with finding dark matter, was far from trivial. Now the finalists have to solve an applied business problem. Unfortunately, the restrictions of 2021 will not allow us to host the final in person, but we are sure that the participants will still experience the unique atmosphere of the competition.

See also:

International Data Analysis Olympiad IDAO-2021 Has Started

The registration period for the International Data Analysis Olympiad (IDAO-2021) is open until March 12. The qualifying round has already begun and will run until March 31. This year, the HSE Faculty of Computer Science and Yandex are holding the Olympiad for the fourth time. This year's Platinum Partner is Otkritie Bank. The Olympiad is organised by leading data analysts for their future colleagues—early career analysts and scientists.

HSE University Faculty of Computer Science and Yandex Hold Final Round of International Data Analysis Olympiad IDAO-2020

The HSE Faculty of Computer Science (FCS) and Yandex held the Online Final of the IDAO-2020 International Data Analysis Olympiad, which took place for the third time. The task for the final round was provided by QIWI, the platinum partner of the event. Sberbank also became a competition partner.

2756

participants from 83 countries have registered for the International Data Analysis Olympiad (IDAO). Most registrations came from Russia and India. The top ten most-represented countries among participants also include the United States, Iran, Azerbaijan, Indonesia, Vietnam, and Pakistan.

HSE Students Win Awards at the Kaggle International Data Science Competition

Ekaterina Melianova and Artyom Volgin, second-year students of the Master’s programme ‘Applied Statistics with Network Analysis’, took second place in an international data analysis competition. Using a Kaggle survey of 19,717 respondents from 171 countries, they analyzed the community of PhD degree holders in Data Science.

Eight Teams Compete in HSE’s First Data Science Hackathon

HSE University has recently hosted an SAS Data Hack Platypus data analysis hackathon, where teams competed to solve a case problem provided by the online hypermarket, Utkonos (or, in English, ‘Platypus’).The top five finalists received devices from partner companies as gifts.

What You Can Do in Data Science: HSE University Invites Applications for IDAO 2020

The registration for the 3rd International Data Analysis Olympiad (IDAO 2020) organised jointly by the HSE Faculty of Computer Science and Yandex, is open until January 21, 2020. The international competition introduces young developers and analysts to current issues in Data Science.

31 Teams from Seven Countries Make It to IDAO Finals

On February 18, the online round of the International Data Analysis Olympiad (IDAO) officially finished. The Data analysis competition is organized by the HSE Faculty of Computer Science and Yandex with the support of Sberbank. This year 1287 teams from 78 countries took part in the online round.

1287

teams from 78 countries have registered for the International IDAO Data Analysis Olympiad organized by the HSE Faculty of Computer Science and Yandex with the support of Sberbank.

International Data Analysis Olympiad (IDAO) to Be Held for the Second Time

The HSE Faculty of Computer Science and Yandex with the support of Sberbank are to organize the 2nd International Data Analysis Olympiad (IDAO). The Olympiad is held by leading experts in data analysis for their future colleagues and aims to bring together analysts, scientists, professionals, and junior researchers.

All HSE Students Are Taught Data Analysis. What Does This Mean?

The Data Culture project at HSE is celebrating its first anniversary! Its key concept is that all students should possess at least basic competencies in data analysis, since data skills are increasingly becoming an entry-level requirement for professionals in almost every field. More than half of all HSE programmes were involved in the project in its first year. In the following academic year, the project is being expanded to cover all programmes and all students. Let’s have a closer look at the project’s profile and try to see the ways students can benefit.