Магистратура
2022/2023
Современные методы анализа данных: исследования и лучшие практики
Статус:
Курс по выбору (Трансмедийное производство в цифровых индустриях)
Направление:
42.04.05. Медиакоммуникации
Кто читает:
Институт медиа
Где читается:
Факультет креативных индустрий
Когда читается:
2-й курс, 2 модуль
Формат изучения:
с онлайн-курсом
Онлайн-часы:
30
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Новикова Анна Алексеевна
Прогр. обучения:
Трансмедийное производство в цифровых индустриях
Язык:
английский
Кредиты:
4
Контактные часы:
6
Course Syllabus
Abstract
Despite a large variety of different courses on analytics, the courses that offer a broad overview of the field are rare. From practice of teaching statistics, it became clear that it is difficult for learners to put together a broad field map if they have taken only a few of the different topics on analytical tools. As a result, they do not see the overall picture of everything that the field of data analysis has to offer.
This course is designed to fill this gap. It is a survey course on state-of-the-art in interdisciplinary methods of data analysis, applicable to business and academia alike. Unlike other statistical courses, which focus on specific methods, this course will focus on the broader areas within statistics and data analytics. There are five major topics it will cover. It will start with the root of it all - the data – and some of the problems with the data. Then it will move through the contemporary approaches to descriptive, inferential, predictive and prescriptive analytics.
Within each broader topic, the course will offer the theoretical foundation behind the methods without focusing too much on the mathematics. It will provide historical references, examples, explanations and case studies to illustrate the main concepts within each broader topic. In doing so, it will introduce the applied, problem-based approach to using specific tools. Then, it will discuss some of the specific of a particular approach. Overall, after taking this course, the students will get a good understanding of the state-of-the-art tools that the field of data analysis currently has to offer.