Course description:

In our data-driven world, it is hard to imagine a modern manager who does not know the basic tools of quantitative analysis. The course will include a necessary minimum of theory (30% of the time) and a lot of practical examples using real data from business, management, and finance. 

Students are expected to bring a laptop with an installed Excel 2013 (or later) English version. While group work on assignments is encouraged, 50% of the Final exam will be based on empirical exercises so each student should be proficient in Excel by the end of the course.

Learning outcomes:

At the end of this course, a student should be able to:

• Analyze and describe business data in Excel
• Be familiar with techniques of OLS estimation
• Understand basic probability theory
• Be able to run linear regression using Excel Add-in
• Apply regression to forecast business outcomes
• Understand the nature of qualitative and time-series data
• Have a basic understanding of advanced data analysis in R using machine learning techniques

Lecturer: Maksym Obrizan

Course language: English

 Price: UAH 35 500

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