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.
Kaggle is a Data Science platform by Google. The community brings together about 3,000,000 machine learning and data science professionals from all over the globe. The resource publishes learning materials and organizes surveys and online competitions. The platform has hosted over a hundred open machine learning competitions, with prizes totaling tens of thousands of dollars.
Participants of the annual Kaggle ML & DS Survey were asked to analyze the data from an online survey of Kaggle website users. After selecting a group from the survey, they then had to use the data to craft an interesting story about the respondents. The jury assessed the storytelling and project originality, as well as the clarity of the code and reproducibility of the results.
We chose respondents with a PhD as the subject of our research. We are interested in the topic since we study issues related to the effectiveness of human capital, and, in particular, education. Most of the survey data was about specific skills in data analysis the respondents possess, such as Python programming or knowledge of certain machine learning methods.
We used these answers to calculate the similarity between respondents and constructed a graph that we then used to draw some interesting conclusions about the traits of the academic data science community. With the help of this method, we managed to define certain clusters within the PhD community, examine differences in skills between groups from different countries, and determine which skills are fundamental and which are more specialized.
We also used network analysis to visualize the results in an interesting way. In addition, we demonstrated how advantageous or disadvantageous with regard to salary getting a PhD is in different countries, and also, how the existing gender discrimination in data science professions affects women with a PhD.
Ekaterina and Artyom originally chose the Master’s programme ‘Applied Statistics with Network Analysis’ because of their interest in applied data analysis. The programme will help them master a wide range of different statistical methods, including network analysis, which is extremely popular in different research fields today.
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.
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.
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.
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.