IDAO (International Data Analysis Olympiad) was created by leading data analysts for their future colleagues. It brings together analysts, scientists, professionals, and early-career researchers from around the world.
The Olympiad is held for the second time this year. Compared to the first Olympiad, the number of participating teams has grown by almost 400, and the number of countries they represent - by 23.
The majority of teams registered for the Olympiad are from Russia (664). India comes in second with 247 teams. Indonesia, Belarus, Peru, Egypt, Ukraine, Kazakhstan, Azerbaijan, and Thailand are also among the top ten participating countries.
The first round of the competition is held online. Top 30 performing teams from the online roundwill compete in the finals which will be held in Moscow from April 4 to 6.
IDAO winners will receive valuable prizes, and the results of the Olympiad will be taken into account in the candidates' portfolio when they apply for Master’s programmes run by the HSE Faculty of Computer Science.
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.
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.
The Higher School of Economics has joined the LHCb collaboration at the Large Hadron Collider, which is operated by the European Organization for Nuclear Research. The group from HSE will consist of researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA). This will give HSE researchers full access to data from the collaboration and allow the university to participate in various projects.
The joint department with SAS at the HSE Faculty of Computer Science aims to support educational programmes in data analysis and enrich teaching and learning with business expertise. The Higher School of Economics is the first Russian university to have founded a joint department with SAS.
On April 4, the winners of the First International Data Analysis Olympiad (IDAO) were announced. The event was organized by the HSE Faculty of Computer Science, Yandex, and Harbour.Space University (Barcelona) with the support of Sberbank. Magic City team from St. Petersburg took out first prize, a team from the Ukraine came second, and the Apex team from Belarus came third.
On February 20, the first online stage of the International Data Analysis Olympiad (IDAO) was completed. IDAO was organised by the Faculty of Computer Science of the Higher School of Economics in partnership with Harbour.Space University (Barcelona), Yandex and with the Gold sponsor, Sberbank.
The IDAO (International Data Analysis Olympiad), created by leading experts in data analysis for their future colleagues, aims to bring together analysts, scientists, professionals, and junior researchers from all over the world on a single platform. This is the first time an event of this scale will be held in Russia. The HSE Faculty of Computer Science, Yandex and Harbour. Space University organize the Olympiad with the support of Sberbank.
First-year ICEF master’s student Tamara Shangina has won the McKinsey Moscow Next Generation Women Leadership Award 2017 with her project on data analysis. Below, Tamara discusses how she decided to switch gears from programming to finance, as well as what role case championships and a student loan from Sberbank have played in her life.
Concept lattices can help spot pedophiles on the web. Researchers of the HSE's Department of Data Analysis and Artificial Intelligence have helped the Dutch police create a computer program that can detect internet pedophiles and even determine how dangerous they can be.
The 4th Summer School of the Laboratory for Comparative Social Research (LCSR) was centered around Categorical Data Analysis and saw the participation of more than 40 junior academics from universities and research centres of Russia, Ukraine, Belarus, Italy, Germany, Poland, Romania, Israel and the U.S.