2023/2024





Аналитическая культура
Лучший по критерию «Полезность курса для Вашей будущей карьеры»
Лучший по критерию «Полезность курса для расширения кругозора и разностороннего развития»
Лучший по критерию «Новизна полученных знаний»
Статус:
Маго-лего
Кто читает:
Кафедра маркетинга (Нижний Новгород)
Когда читается:
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 1Homework on end-to-end analytics or/and cohort analysis
- Homework 2Homework on modeling
- Homework 3Homework on pivot tables
- Homework 4Homework on vizualization
Interim Assessment
- 2023/2024 4th module0.25 * Homework 1 + 0.25 * Homework 2 + 0.25 * Homework 3 + 0.25 * Homework 4
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.