Магистратура
2021/2022
Введение в R
Лучший по критерию «Полезность курса для расширения кругозора и разностороннего развития»
Статус:
Курс обязательный
Направление:
38.04.08. Финансы и кредит
Кто читает:
Департамент экономики и финансов
Где читается:
Факультет экономики (Пермь)
Когда читается:
1-й курс, 1 модуль
Формат изучения:
с онлайн-курсом
Онлайн-часы:
6
Охват аудитории:
для своего кампуса
Преподаватели:
Паршаков Петр Андреевич
Прогр. обучения:
Финансовые стратегии и аналитика
Язык:
английский
Кредиты:
3
Контактные часы:
4
Course Syllabus
Abstract
The course “Introduction to R” is designed to provide students with basic knowledge of in R, free software environment for statistical computing and graphics. The course begins with an introduction to basics of R programming language, data types and importing dataset in different formats. Then students will learn how to explore, clean and prepare data for further analysis. The final part of the course is devoted to techniques of data visualization using R. The course is supported by online platform for education DataCamp (www.datacamp.com). Students are expected to watch online lectures and complete assignments using the platform. Some lectures and final examination are provided by lecturers of National Research University Higher School of Economics.
Learning Objectives
- Know basic syntax of R programming language.
- Import data, explore and clear it.
- Have skills of data manipulation and visualization.
Expected Learning Outcomes
- Is able to explore dataset.
- Have skills of data cleaning.
- Have skills of data visualization.
- Is able to transform datasets.
- Know basic data types and R syntax.
- Know types of data joining.
Bibliography
Recommended Core Bibliography
- Boehmke, B. C. (2016). Data Wrangling with R. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1331500
- Rahlf, T. (2017). Data Visualisation with R : 100 Examples. Cham, Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1377904
- Spector, P. (2008). Data Manipulation with R. New York: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=229058