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Regular version of the site

Data-driven Culture

2022/2023
Academic Year
ENG
Instruction in English
6
ECTS credits
Delivered at:
Department of Marketing (Nizhny Novgorod) (Faculty of Management (Nizhny Novgorod))
Course type:
Compulsory course
When:
1 year, 3, 4 module

Instructors

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

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

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

Course Contents

  • Marketing analytics jobs and goals
  • Data collection, preparation and analysis
  • Report and presentation of results
Assessment Elements

Assessment Elements

  • non-blocking Homework
    Homework on end-to-end analytics or/and cohort analysis
  • non-blocking Homework
    Homework on modeling
  • non-blocking Homework
    Homework on pivot tables
  • non-blocking Homework
    Homework on vizualization
Interim Assessment

Interim Assessment

  • 2022/2023 4th module
    Оценка выполнения работ в период обучения + экзамен
Bibliography

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.