Магистратура
2025/2026
Аналитическая культура
ID 1077139
Лучший по критерию «Полезность курса для Вашей будущей карьеры»
Лучший по критерию «Новизна полученных знаний»
Статус:
Курс обязательный (Маркетинг)
Кто читает:
Департамент маркетинга и предпринимательства
Где читается:
Факультет менеджмента (Нижний Новгород)
Когда читается:
1-й курс, 3, 4 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
6
Контактные часы:
40
Course Syllabus
Abstract
The course helps students to learn how to set analytic goals, work with data in a team, select data analysis methods, and make decisions based on data. If students know basic statistics and use Python, R, or SPSS for analysis, it helps students to better understand the course topics.
Learning Objectives
- Know job requirements. Set and decompose analytic goals and metrics
- To learn how to set analytic goals, work with data in a team, select data analysis methods, and make decisions based on data.
Expected Learning Outcomes
- Know job requirements. Set and decompose analytic goals and metrics
- Select and apply data collection, preparation and analysis methods and tools.
- Prepare a report and explain (present) results.
Course Contents
- Marketing analytics jobs and goals
- Data collection, preparation and analysis
- Report and presentation of results
Assessment Elements
- Homework 2
- Homework 4
- Homework 3
- Homework 1Homework on end-to-end analytics or/and cohort analysis
Interim Assessment
- 2025/2026 4th module0.25 * Homework 4 + 0.25 * Homework 3 + 0.25 * Homework 1 + 0.25 * Homework 2
Bibliography
Recommended Core Bibliography
- Phillips, Tim. Data-Driven Business: Use Real-Life Numbers to Improve Your Business by 352% [Электронный ресурс] / Tim Phillips; БД books24х7. – Infinite Ideas, 2016. – 160 pages. – ISBN 978-1908984609. –Режим доступа: http://common.books24x7.com/toc.aspx?bookid=130361. – Загл. с экрана.
Recommended Additional Bibliography
- Foreman, John W. Data Smart: Using Data Science to Transform Information into Insight [Электронный ресурс] / John W. Foreman; БД books24х7. – John Wiley & Sons, 2014. – 432 pages. – ISBN 978-1-118-03496-5. – Режим доступа: http://common.books24x7.com/toc.aspx?bookid=58144. – Загл. с экрана.Foreman, John W. Data Smart: Using Data Science to Transform Information into Insight [Электронный ресурс] / John W. Foreman; БД books24х7. – John Wiley & Sons, 2014. – 432 pages. – ISBN 978-1-118-03496-5. – Режим доступа: http://common.books24x7.com/toc.aspx?bookid=58144. – Загл. с экрана.
- Jeffery, M. Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know [Электронный ресурс] / Mark Jeffery; БД ebrary. – John Wiley & Sons, Incorporated, 2010. – 323 p. – ISBN 9780470504543. – Режим доступа: https://ebookcentral.proquest.com/lib/hselibrary-ebooks/reader.action?docID=485632&query=Data-Driven+Marketing. – Загл. с экрана.