| Course title | Business Planning and Statistics II |
| Course code | Ekon3008 |
| Credit points (ECTS) | 2.25 |
| Total Hours in Course | 60.75 |
| Number of hours for lectures | 8 |
| Number of hours for laboratory classes | 16 |
| Date of course confirmation | 19/10/2011 |
| Responsible Unit | Institute of Computer Systems and Data Science |
| Course developers | |
| Dr. agr., prof. Līga Paura |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| The course gives knowledge about data analysis methods, management and analysis in the different statistical software. The following topics are covered: descriptive statistics, graphical summarizing of data and qualitative data analysis methods. | |
| Learning outcomes and their assessment | |
| After completing the course student will have: knowledge and critical understanding about data analysis methods; how to apply data analyses methods in research projects; skills to discuss the choice of methods of data processing principles, their application and implementation, to interpret the results and draw conclusions; competence to use statistical software and realize data analysis outcomes in bachelor work. | |
| Compulsory reading | |
| 1. Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā. Rīga: Datorzinību centrs, 2006. 362 lpp.
2. Arhipova I., Bāliņa S. Statistika ekonomikā: risinājumi ar SPSS un Microsoft Excel. Rīga: Datorzinību centrs, 2003. 349 lpp. 3. Paura L., Arhipova I. Neparametriskas metodes. SPSS datorprogramma. Mācību līdzeklis. Jelgava: LLKC, 2002. 148 lpp. |
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| Further reading | |
| 1. Berenson M.L., Levine D.M. BasicBusinessStatistics: ConceptsandApplications. UpperSaddle, NewJersey: PrenticeHall, 2009. 1013 lpp. 2. SPSS forsocialscientists. R. L. Miller ... etal.; consultanted. Jo Campling. Basingstoke, Hants; NewYork: PalgraveMacmillan, 2002. 334 p. | |