Applied Quantitative Methods to Analyse Business Data, Short Course | Vrije Universiteit Amsterdam | Amsterdam, Netherlands
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Applied Quantitative Methods to Analyse Business Data

8 days
Duration
1100 EUR/full
1100 EUR/full
Unknown
Tuition fee
Unknown
Apply date
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Start date

About

The Applied Quantitative Methods to Analyse Business Data course from Vrije Universiteit Amsterdam focuses on quantitative applications to real-world business data, teaching students econometric methods (principles of statistical testing, multiple linear regression, logistic regression, time series regression, panel data analysis) and implementation of these methods in the statistic software R.

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

Language

English
TOEFL admission requirements TOEFL® IBT
92

Credits

3 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT
92

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

To always see correct tuition fees
  • International

    1100 EUR/full
    Tuition Fee
    Based on the tuition of 1100 EUR for the full programme during 8 days.
  • EU/EEA

    1100 EUR/full
    Tuition Fee
    Based 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

1000 - 1500 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Applied Quantitative Methods to Analyse Business Data
Vrije Universiteit Amsterdam
Applied Quantitative Methods to Analyse Business Data
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