Course type: compulsory
Lecturer: Irena Ograjenšek, Ph.D., Associate Professor
 

For the timeline see Curriculum.

Prerequisites:

• Enrolment into the relevant academic year.
• Positively graded seminar paper (project) is a prerequisite for written exam.

Content (Syllabus outline):
Introductory topics:

• Relations among official statistics, economic statistics and business statistics.
• Relevance of business statistics for business decision-making processes and economic policy-making.

Data sources for business decision-making:

• Macro aspect.
• Micro aspect.

Levels of analysis in business decision-making processes:

• Analysis of macroeconomic environment.
• Industry analysis.
• Company analysis.

Statistical support for business decision-making:

• In R&D function.
• In R&D function.
• In purchasing
• In production and operations.
• In marketing.
• In accounting and finance.

Statistical support for strategic decision-making.
Other relevant topics.

Objectives and competences:
After taking this course and based on the modern information technology the students should be able to:

• find and/or collect, analyze and interpret relevant statistical data to solve a given business problem;
• interpret basic economic, social and business implications of published official statistical data;
• identify examples of business world's misuse of statistics.

Intended learning outcomes:
Skills acquisition:

• secondary data search, evaluation and use in economics and business sciences;
• primary data collection, evaluation and use in economics and business sciences;
• use of statistical software packages in economics and business sciences;
• data/results of analysis visualization and dissemination in economics and business sciences.