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Regular version of the site
Language Proficiency
English
Contacts
Phone:
+7 (495) 772-95-90
27056
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S416
Timetable
SPIN-RSCI: 7237-0444
ORCID: 0000-0001-7423-9127
ResearcherID: K-4968-2015
Google Scholar
Office hours
On Wednesday from 15.00 to 18.00 (Online. Pre-approval by email)
Supervisor
A. Surinov
Printable version


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Nataliya Zvezdina

    • Nataliya Zvezdina has been at HSE University since 2011.

    Education, Degrees and Academic Titles

    2013
    Associate Professor
    2006
    Candidate of Sciences* (PhD) in Accounting and Statistics
    Moscow State University of Economics, Statistics and Informatics
    2001
    Degree in Statistics
    Moscow Institute of Economics and Statistics
    * Candidate of Sciences
    According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

    Continuing education / Professional retraining / Internships / Study abroad experience

    Advanced training program "Organization of the teacher's work in the NRU HSE Smart LMS: basic course", Moscow, National Research University Higher School of Economics, January 18-20, 2021

    Advanced training program "Features of the organization of the educational process at the NRU HSE: rules and principles, regulatory and methodological issues, the use of information and communication technologies", Moscow, National Research University Higher School of Economics, October 18-20, 2021

     

    Advanced training program "Python for Researchers", Moscow, National Research University Higher School of Economics, October 26-December 11, 2020

    Advanced training program "Presentation of information and data. Creation of presentations", Moscow, National Research University Higher School of Economics, August 1-20, 2020

    Advanced Training Program "Modern Machine Learning and Methods of Teaching Data Analysis", HSE, Moscow, January 27-29, 2018