Bachelor
2021/2022
Statistics with R Specialization
Type:
Elective course (Fundamental and Computational Linguistics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
When:
3 year, 3 module
Mode of studies:
distance learning
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
2
Course Syllabus
Abstract
In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.
Learning Objectives
- learn to analyze and visualize data in R
- learn to perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions
Assessment Elements
- Online course
- Discussion with a HSE instructor
- Online course
- Discussion with a HSE instructor
Interim Assessment
- 2021/2022 3rd moduleРассчет оценки в соответствии с баллами, набранными на онлайн-платформе: 95-100 %: 10; 85-94 %: 9; 75-84 %: 8; 65-74 %: 7; 55-64 %: 6; 45-54 %: 5; 35-44 %: 4; 25-34 %: 3; 15-24 %: 2; 5-14 %: 1; < 4 %: 0;
Bibliography
Recommended Core Bibliography
- Мастицкий, С. Э. Статистический анализ и визуализация данных с помощью R / С. Э. Мастицкий, В. К. Шитиков. — Москва : ДМК Пресс, 2015. — 496 с. — ISBN 978-5-97060-301-7. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/73072 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.
Recommended Additional Bibliography
- Введение в статистическое обучение с примерами на языке R / Г. Джеймс, Д. Уиттон, Т. Хасти, Р. Тибширани ; перевод с английского С. Э. Мастицкого. — Москва : ДМК Пресс, 2017. — 456 с. — ISBN 978-5-97060-495-3. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/93580 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.