Бакалавриат 2024/2025

Статистический анализ и визуализация данных в среде R и Python

Статус: Курс по выбору (Маркетинг и рыночная аналитика)

Направление: 38.03.02. Менеджмент

Кто читает: Департамент маркетинга

Где читается: Высшая школа бизнеса

Когда читается: 3-й курс, 4 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для всех кампусов НИУ ВШЭ

Язык: английский

Кредиты: 3

Контактные часы: 30

Course Syllabus

Abstract

In this data-driven world, business decisions need to be backed by the insights one can retrieve from the regular and proper analyses of data at hand. Data Science has emerged as an interesting discipline lately with huge potential. For getting started in data analysis, one of the most important skills is proficiency in a statistical programming language and in the last decades R and Python have emerged as most sought-after tools when it comes to cleaning, manipulating, analyzing, and visualizing data. In this course “Statistical Analysis and Data Visualization in R and Python”, we will explore these two open-source programming languages which can handle just about any data analysis task, and are considered relatively easy languages to learn, especially for beginners. This course is designed for undergraduate students with no prior experience in programming or data analysis. The course will provide an introduction to statistical analysis and data visualization using R and Python, with a focus on basic concepts and techniques. The course will be divided into 7 lecture sessions and 8 seminar sessions. Each lecture will be followed by a related seminar, where students will work on practical projects to reinforce the concepts learned in the lecture.