Overview
Students in the Applied Quantitative Methods to Analyse Business Data course from Vrije Universiteit Amsterdam will get to know different types of company data (cross-sectional, longitudinal, panel data), learn the basic frequentist approach to statistical test theory, and be introduced to the main workhorses of causal analysis. They will gather theoretical knowledge about these methods, their assumptions, and remedies to violations of these assumptions. Furthermore, students will apply this knowledge practically to data provided from openly available case studies and proprietary records from collaborating companies using the free statistical software R. Finally, academic articles applying the introduced methods teach students comprehension and interpretation of econometric research. Thus, (1) econometric knowledge, (2) implementation skills, and (3) understanding of empirical academic procedures are the main objectives of this course.
By the end of this course, students will be able to:
- understand different types of real-world data and the methods suitable to analyze them
- apply quantitative methods themselves using a popular, open-source statistical software
- interpret results of quantitative models and use them to make business decisions
Programme Structure
The course follows a lecture-application sequence, with six major topics:
- Introduction
- Principles of statistical testing
- Multiple linear regression (continuous outcome; cross-sectional data)
- Logistic regression (binary outcome; cross-sectional data)
- Time series regression (continuous outcome; longitudinal data)
- Panel data analysis (continuous outcome; longitudinal data)
Key information
Duration
- Full-time
- 8 days
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Business Intelligence Data Science & Big Data Data Analytics View 6 other Short Courses in Business Intelligence in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Other requirements
General requirements
- The course is designed for students aiming to tackle real-world business problems with quantitative methods, using the popular coding language R. The main target group are Master's (as well as PhD) students from different disciplines aiming to advance their econometric tool set to apply to a company setting.
- Although methodological knowledge provides the basis of this course, the focus is on business practice. Academic articles serve as examples for such application, but the course is also suitable for students who seek a career in industry, positioning themselves in the intersection of management/marketing and analytics.
Tuition Fee
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International
1100 EUR/fullTuition FeeBased on the tuition of 1100 EUR for the full programme during 8 days. -
EU/EEA
1100 EUR/fullTuition FeeBased on the tuition of 1100 EUR for the full programme during 8 days.
- Students, PhD students and employees of VU Amsterdam, Amsterdam UMC or an Aurora Network Partner: €735
- Students at Partner Universities of VU Amsterdam: €995
- Students and PhD candidates at non-partner universities of VU Amsterdam: €1100
- Professionals: €1310
Living costs for Amsterdam
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.