Магистратура
2025/2026
Введение в бизнес-статистику с использованием R
Статус:
Курс по выбору (Аналитика данных для бизнеса и экономики)
Кто читает:
Департамент экономики
Где читается:
Санкт-Петербургская школа экономики и менеджмента
Когда читается:
1-й курс, 1 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Заздравных Евгений Александрович
Язык:
английский
Кредиты:
3
Контактные часы:
28
Course Syllabus
Abstract
Statistical processing of data and visualisation of the results of analysis is an inevitable stage of working with data obtained in various fields of natural sciences, sociology, psychology or economics. In this course we will go through the basics of statistics and learn the basics of the statistical programming language R. We will teach you how to use visualisation tools (charts, graphs, etc.) flexibly to make the results of analysis as accessible and understandable as possible. You will learn how to calculate basic descriptive statistics: median and quantiles, mean and standard deviation. You will be introduced to the principles of using theoretical distributions of statistics to construct confidence intervals and test hypotheses (using the t-criterion as an example). Finally, we will discuss the difficulties encountered in multiple hypothesis testing and teach you how to overcome them.
Expected Learning Outcomes
- to be able to create vectors, lists, matrices in R
- to be able to identify basic data types in R
- to be able to make scatterplots, histograms, line plots by using ggplot2, graphics, echarts4r
- to be able to read complicated xlsx files
- to be able to save plots
- to be able to estimate the descriptive statistics for small and large tables
- to be able to interpret the descriptive statistics
- to be able to explain the idea of probability
- to be able to generate and manage binomial and poisson distributions in R
- to be able to generate normally distributed variables
Course Contents
- Introduction to R
- Data Visualisation in R
- Descriptive statistics in R
- Introduction to probability and discrete probability distributions
- Introduction to continuous probability distributions
Assessment Elements
- Midterm test
- ExamThe exam lasts 80 minutes. The student has to solve 10 exercises where each exercise gives either 1 or 0 points. The sum of the points is the examination mark. If the script does not work, the student receives 0 for the whole exam. This is an open book test.
Bibliography
Recommended Core Bibliography
- Fraser C. Business statistics for competitive advantage with Excel 2016: basics, model building, simulation and cases. New York, NY: Springer Science+Business Media, 2016. 475 с.
Recommended Additional Bibliography
- Groebner, David, et al. Business Statistics, EBook, Global Edition, Pearson Education, Limited, 2018. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=5186156.