Best DASS Courses
Eight courses in the Master's programme 'Data Analytics and Social Statistics' were recognized as the best by students of the 2023-2025 cohort.
Start of the school year on the DASS programme
The Data Analytics and Social Statistics (DASS) academic year has begun!
Master class 'Data analysis without code'
The International Laboratory of Applied Network Research invites you to watch the recording of the master class 'Data Analysis Without Code', which took place on August 22, 2024.
DASS teachers among the best in 2024
Irina Pavlova and Stanislav Pashkov, teachers of the Data Analytics and Social Statistics programme, were chosen as the best in a vote by students of the Faculty of Social Sciences in 2024.
Seminar 'Retirement age as a milestone in life: the image of the desired future and the experience of planning your life'
On August 15, the open day of the Data Analytics and Social Statistics programme took place.
Seminar 'Network effects around us: amazing discoveries in the field of social network analysis'
The DASS programme invites you to watch a recording of the open day, where together with the head of ANR-Lab Daria Maltseva we talked about some discoveries in the field of Social Network Analysis (SNA): concepts and theories that explain social interactions with various network effects.
Workshop on collecting and processing data from Telegram
On August 1, the DASS Master's programme Open Day took place, where the programme's teacher, Lika Kapustina, held a workshop on collecting and processing data from Telegram.
Workshop 'Centrality measures: who is the most important in the network'
On July 25th a workshop on centrality in network analysis was held.
Who are data analysts?
On July 18 at 18:30, the online programme 'Data Analytics and Social Statistics' held a seminar on the market for data analytics specialists.
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'.