| Statuss(Aktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Titre du cours | |
| Code du cours | InfT5057 |
| Crédits (ECTS) | 4.5 |
| La quantité totale d'heures en classe | 121.5 |
| Nombre de conferences | 12 |
| Nombre de travaux pratiques et des séminaires | 24 |
| La quantitē d'heures de travail autonome d'un ētudiant | 84 |
| Date de l'approbation du cours | 19/01/2022 |
| Auteurs du cours | |
| , Līga Paura |
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| 6979@@Priekšzināšanas Kursam priekšzināšanas nav nepieciešamas |
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| Le cours remplacé | |
| InfTM002 [GINTM002] |
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| Manuels | |
| 1.Kirk A. Data visualisation: a handbook for data driven design. Los Angeles: SAGE, 2019. 312 p.
2. Corr L., Stagnitto J. Agile Data Warehouse Design: collaborative dimensional modeling, from Whiteboard to Star Schema. UK: Decision Press, 2014. 304 p. 3.Arhipova I., Balina S. Statistika ekonomikā un biznesā: risinājumi ar SPSS un MS Excel: mācību līdzeklis. Rīga: Datorzinību centrs, 2006. 359 lpp. 4.Kabacoff R. I. R in action: data analysis and graphics with R. Second edition. Shelter Island, NY: Manning, 2015. 579 p. |
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| Ouvrages supplémentaires | |
| 1.Data science & big data analytics: discovering, analyzing, visualizing and presenting data. EMC Education Services. Indianapolis, IN: John Wiley and Sons, 2015. 410 p.
2.Advanced Analytics with Power BI: Microsoft. Pieejams: https://www.arbelatech.com/insights/white-papers/advanced-analytics-with-power-bi 3.Gujarati D. N. Basic econometrics. 3rd ed. New York [etc.]: McGraw-Hill, Inc., 1995. 838 p. |
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| Périodiques et d`autres ressources d`information | |
| 1.European Journal of Management and Business Economics: ISSN 2444-8451 Elsevier data base 2.Journal of Data Analysis and Information Processing: ISSN Online: 2327-7203. Pieejams: www.scirp.org/journal/jdaip | |