Track 'Applied Statistics and Data Science' of the master’s programme 'Data Analytics and Social Statistics'
On July 15, an open day was held about the DASS track 'Applied Statistics and Data Science'.
We will catch you in our nets: an introduction to network analysis methodology
There was a workshop on network analysis – three bright speakers told important, interesting and necessary things in an hour and a half.
Q&A with DASS Academic Supervisor
Ivan Aleksandrovich Klimov met with applicants to the master’s programme “Data Analytics and Social Statistics”: he answered questions and shared interesting facts about how graduates’ careers are shaping up. The meeting was held in Russian, in free communication mode.
DASS held a webinar 'Generative vs. Graph models: Who wins in data analysis?'
As part of the admissions campaign, the master's programme 'Data Analytics and Social Statistics' held a webinar where generative and graph models in unstructured data analysis were compared.
Webinar on network visualization software
The webinar demonstrated examples of successful network visualizations, as well as pros and cons of different visualization programs. The webinar was conducted by Irina Pavlova, Deputy Head of ANR-Lab and DASS professor.
Applied methods for analyzing trends of the present and future: a review of various approaches
At the Open Day on May 16, partner of the Aventica group of companies, Stanislav Moiseev, spoke about the various approaches that are used in trend research: monitoring, trendwatching and foresight. To accurately forecast trends, a comprehensive approach that combines several methods is required.
At the open day on May 2, we talked about the track “Computational Social and Network Sciences”
The online master's programme Data Analytics and Social Statistics (DASS) has two tracks. The open day was dedicated to the track 'Computational Social and Network Sciences'.
On April 18, an Open Day for the DASS master's programme was held on the topic 'How to analyze the structure of collaboration?'
On April 18, 2024, the online programme 'Data Analytics and Social Statistics' held a webinar 'How to analyze the structure of scientific interaction? An example of leading young universities.'