2022/2023
Статистический анализ данных
Статус:
Дисциплина общефакультетского пула
Кто читает:
Международный институт экономики и финансов
Когда читается:
1, 2 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Люлько Ярослав Александрович
Язык:
английский
Кредиты:
3
Контактные часы:
32
Course Syllabus
Abstract
Computational statistics is a one-semester optional course which is taught for ICEF BSc
students. The course focuses on practical aspects and applications of probability theory, statistics
and mathematical finance. Course naturally complements corresponding compulsory course
«Statistics» for second-year students.
The course is taught in English. The students are also studying for Russian degree in
Economics, and knowing Russian terminology through reading in Russian is also required.
Course prerequisites: students are supposed to be familiar with basic probability theory and statistics at the level of
«Probability Theory and Statistics» as well as «Calculus» courses which are taught in the first
year of studies. In terms of programming language skills students are supposed to be familiar
with basics of Python language at the level of «Python Programming and Data Processing»
course. In particular, students should be familiar with numpy, pandas, matplolib packages, be
able to read datasets, represent data as data frames, work with arrays.
Learning Objectives
- Familiarise students with data analysis methods and tools which are provided in statistics courses.
- Increase understanding of compulsory courses topics by considering examples and use cases where various methods can be applied.
- Learn how to use statistical software and programming language (Python) to analyse the data.
- Show how various statistical methods can be applied together to make comprehensive data analysis, how various topics of statistics are connected and can complement each other.
Interim Assessment
- 2022/2023 2nd module0.16 * Activity in the class + 0.28 * Final project + 0.28 * Home assignment 1 + 0.28 * Home assignment 2
