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NumPy user guide. NumPy Developers, 2022.
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MCKINNEY, Wes. pandas: powerful Python data analysis toolkit. Pandas Development Team, 2022.
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LASÁK, Pavel. Jak na Excel: VBA v Excel. 2021.
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MATTHES, Eric. Python Crash Course: A Hands-On, Project-Based Introduction to Programming. No Starch Press, 2019. 2nd Edition. ISBN 978-1-59327-928-8.
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MANLY, Brian and Alberto NAVARRO. Multivariate Statistical Methods. Chapman & Hall, 2017. 269 pp. ISBN 978-1-4987-2896-6.
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Seaborn Tutorial. Tutorials Point, 2017.
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FERRARI, Alberto and Marco RUSSO. Introducing Microsoft Power BI. The Microsoft Press Store by Pearson, 2016. 189 pp. ISBN 978-1-5093-0228-4.
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Matplotlib Tutorial. Tutorials Point, 2016.
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KIRCHGÄSSNER, Gebhard, Jürgen WOLTERS and Uwe HASSLER. Introduction to modern time series analysis. Springer, 2013. Springer texts in business and economics. ISBN 978-3-642-33435-1.
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ČERMÁK, L. Numerické metody pro řešení diferenciálních rovnic. Brno: Litera Brno, 2013. ISBN 978-80-903586-7-6.
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FIŠER, Jiří. Úvod do teorie obyčejných diferenciálních a diferenčních rovnic. Olomouc: Univerzita Palackého v Olomouci, 2013. ISBN 978-80-244-3401-8.
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WOODWARD, Wayne, Henry L. GRAY and Alan C. ELLIOTT. Applied time series analysis. Boca Raton: CRC Press, Taylor& Francis group, 2012. Statistics: textbooks and monographs. ISBN 978-1-4398-1837-4.
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HAN, Jiawei, Micheline KAMBER and Jian PEI. Data mining: concepts and techniques. Boston: Elsevier, 2012. 703 pp. ISBN 978-0-12-381479-1.
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MCKINNEY, Wes. Python for data analysis. Beijing: O'Reilly Media, 2012. ISBN 978-1-4493-1979-3.
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BURDEN, R. L. and J. D. FAIRES. Numerical analysis. Boston, USA, 2011. ISBN 978-0-538-73351-9.
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BISGGARD, Soren and Murat KULAHCI. Time Series Analysis and Forecasting by Example. Wiley, 2011. ISBN 978-0-470-54064-0.
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SKALSKÁ, Helena. Data mining a klasifikační modely. Hradec Králové: Gaudeamus, 2010. 154 pp. ISBN 978-80-7435-088-7.
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ARLT, Jozef and Markéta ARLTOVÁ. Ekonomické časové řady. Praha: Professional Publishing, 2009. ISBN 978-80-86946-85-6.
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FORBELSKÁ, Marie. Stochastické modelování jednorozměrných časových řad. Brno: Masarykova univerzita, 2009. 251 pp. ISBN 978-80-210-4812-6.
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BROCKWELL, Petr and Richard DAVIS. Time Series: Theory and Methods. 2nd edition. Springer, 2009. ISBN 978-1-4419-0319-8.
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EDWARDS, C. H. and D. E. PENNEY. Elementary Differential Equations with Boundary Value Problems. Pearson, 2008. ISBN 0-13-239730-7.
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WALKENBACH, John. Microsoft Office Excel 2007 Programování ve VBA. Brno: CPress, 2008. 912 pp. ISBN 978-80-251-2011-8.
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BOX, George, Gwilym JENKINS and Gregory REINSE. Time series analysis: Forecasting and control. Springer, 2008. ISBN 978-0-470-27284-8.
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RUBLÍKOVÁ, Eva. Analýza časových radov. Bratislava: Ekonomická univerzita, 2007. Iura Edition. ISBN 978-80-8078-139-2.
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MCCUE, Colleen. Data mining and predictive analysis: intelligence gathering and crime analysis. Boston: Butterworth-Heinemann, 2007. 332 pp. ISBN 978-0-7506-7796-7.
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RICE, John A. Mathematical Statistics and Data Analysis (with CD Data Sets). 3 edition. Belmont, CA: Thomson/Brooks/Cole, 2007. ISBN 0-534-39942-8.
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ELAYDI, S. An introduction to Difference Equations. New York: Springer, 2005. ISBN 978-0-387-23059-7.
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HEBÁK, Petr. Vícerozměrné statistické metody. Praha: Informatorium, 2005. 255 pp. ISBN 80-7333-039-3.
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GELMAN, Andrew, John B. CARLIN, Hal S. STERN and Donald B. RUBIN. Bayesian data analysis. 2nd Edition. Boca Raton, Fla: Chapman & Hall/CRC, 2004. ISBN 1-58488-388-X.
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GIUDICI, Paolo. Applied data mining: statistical methods for business and industry. Chichester: Wiley, 2003. 364 pp. ISBN 0-470-84679-8.
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BRITTON, N. F. Essential Mathematical Biology. London: Springer, 2003. ISBN 978-1-85233-536-6.
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MURRAY, J. D. Matehmatical biology. Springer, 2003.
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CHATFIELD, Chris. The Analysis of Time Series: An Introduction. Chapman & Hall, 2003. ISBN 978-1-58488-317-3.
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HAND, D. J., Heikki MANNILA and Padhraic SMYTH. Principles of data mining. Cambridge, Mass.: MIT Press, 2001. 546 pp. ISBN 0-262-08290-X.
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ŠIMŮNEK, Milan. SQL kompletní kapesní průvodce. Grada, 1999. 246 pp. ISBN 80-7169-692-7.
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RAINVILLE, E. D., P. E. BEDIENT and R. E. BEDIENT. Elementary Differential Equations. Prentice Hall, 1997. ISBN 978-0-13-508011-5.
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STOER, J. and R. BULIRSCH. Introduction to Numerical Analysis. New York: Springer, 1993. ISBN 978-1-4757-2272-7.
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KELLEY, Walter G. and Allan C. PETERSON. Difference Equations: An Introduction with Applications. San Diego: Academic Press, 1991. ISBN 0-12-403325-3.
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VITÁSEK, E. Numerické metody. SNTL, Praha, 1987.
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