Anastasia Maximovskaya
- Visiting Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School
- Anastasia Maximovskaya has been at HSE University since 2025.
- Language Proficiency
- English
- Contacts
- Phone:
27334 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S812
- ORCID: 0000-0002-9072-5384
- ResearcherID: ABE-5833-2021
- Google Scholar
- Supervisors
- E. Sokolov
- K. Roslovtseva
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Education
2019
Bachelor's in EconomicsHSE University
Courses (2022/2023)
- Data Analysis in Economics and Finance (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Public Policy and Social Sciences, field of study International Relations; 3 year, 1, 2 module)Eng
- Introduction into Python (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Introduction into Python (Mago-Lego; 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Modern Data Analysis: Machine Learning (Mago-Lego; 1 module)Eng
- Modern Data Analysis: Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 1 module)Eng
- Research Seminar "Data Scraping" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 3 module)Eng
- Social Network Analysis (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Public Policy and Social Sciences, field of study International Relations; 3 year, 1, 2 module)Eng
- Past Courses
Courses (2021/2022)
- Introduction into Python (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 1 module)Rus
- Introduction to Data Science (Bachelor’s programme; Graduate School of Business field of study Management, field of study Management; 2 year, 4 module)Rus
- Introduction to data: collecting, analyzing, and visualizing (Bachelor’s programme; Faculty of Creative Industries field of study Journalism; 3 year, 1, 2 module)Rus
- Modern Data Analysis: Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
Courses (2020/2021)
- Data Analysis in Python (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 2 year, 1, 2 module)Rus
- Data Analysis in Python (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 3, 4 module)Rus