Objectives and competences
Goals:
• Repeat basics of descriptive statistics
• Explain the difference between primary and secondary data sources
• Outline possible secondary data sources
• Explain web analytics
Competencies:
• Use of secondary data sources for research
• Analysis of secondary data
• Synthesis of primary and secondary data
Content (Syllabus outline)
• Collection and analysis of secondary data
• Secondary databases
• Digital and web analytics
• Descriptive statistics
Learning and teaching methods
• Seminary work
• Case studies
• Problem based learning
• Group work
Intended learning outcomes - knowledge and understanding
Knowledge and understanding:
Students:
• calculate descriptive statistics
• use secondary data sources
• analyze secondary and web data
• analyze data of digital portals
• analyze data of web sites
• create reports by synthesis of primary and secondary data
• analyze data for preparation and/improvement of business idea
Readings
Mladen Knežević. Osnove metodologije in statistike. Grafis Trade. ISBN 9789616401616.
George Argyrous. Statistics for Research: With a Guide to SPSS. SAGE Publications. 3rd Ed. ISBN 9781849205955
Tiffany Bergin. An Introduction to Data Analysis. Quantitative, Qualitative and Mixed Methods. Sage Publications. ISBN 9781446295151 / 9781446295144
Avinash Kaushik. Web Analytics 2.0. ISBN 9780470529393.
John Goodwin. SAGE secondary data analysis, Volume I. ISBN 9781446246900.
»Seznam dodatnih študijskih materialov bo razdeljen študentom ob začetku predavanj. A list of additional study materials will be distributed when the module begins.«
Prerequisits
There are no prerequisites for this course.
Additional information on implementation and assessment Method (written or oral exam, coursework, project):
Written exam * 50%
Exercises 50%
* written exam can be substituted by two written colloquia; students with positive grade from exercises may write the exam; subject is passed with positive grade from written exam
