Python for Data Science DSBA 2025/2026

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In case you find any inconsistencies on this page, please, contact @StefanieTheSentinels.

Teachers and assistants

Group 251 252 253 254 255 256 257
Lecturer Voznesenskaya T.V.

tvoznesenskaya@hse.ru, tg: @tvozn

Workshop Instructor Rudakov K.A.
tg: @ArcticBEARD
Kopylov I.S.
tg: @DanielWalker
253-1:
Kopylov I.S.
tg: @DanielWalker

253-2:
Rudakov K.A.
tg: @ArcticBEARD
254-1:
Dovgopolyi I.A.
tg: @TriariiMisha

254-2:
Yartsev M.S.
tg: @Mischay
Pronina A.S.
tg: @l_AnnaPronina_l
257-1:
Kopylov I.S.
tg: @DanielWalker

257-2:
Pavleeva M.V.
tg: @mariapavleeva
Teaching Assistant Argirov George
tg: @gotchaya
Shakhmin Pavel
tg: @rotanimoddFPV
253-1:
Shakhmin Pavel
tg: @rotanimoddFPV

253-2:
Argirov George
tg: @gotchaya
254-1:
Argirov George
tg: @gotchaya

254-2:
Alexia Foks
tg: @xsAlexFoxx
Khudyakov Nikita
tg: @jiko_keno
257-1:
Alexia Foks
tg: @xsAlexFoxx

257-2:
Shakhmin Pavel
tg: @rotanimoddFPV
Lecturer's Assistant Artemiy Sapunov
tg: @StefanieTheSentinels

Grading system

0.1 * HW (Contests) +
0.1 * SA (Seminar attendance) +
0.15 * Activity +
0.25 * Midterm +
0.4 * Exam (Project defence)

Contests

Contest Deadline Topic
Contest 1
Contest 2
Contest 3

Grades

The results table with all your grades can be found by [ this link].

Lecture notes

Date Lecture Topic
[link Lecture 1]
[link Lecture 2]
[link Lecture 3]
[link Lecture 4]
[link Lecture 5]
[link Lecture 6]
[link Lecture 7]
[link Lecture 8]
[link Lecture 9]
[link Lecture 10]

Midterm

The midterm will be conducted on XXX in the offline format.

All the details you can find here.

Project / Exam

All the information regarding your course project can be found by accessing this page.

Your exam (project defence) will be conducted on XXX in the offline format.

Syllabus

Syllabus