Statistical thinking for data science: program of the course for students of specialty 122 "Computer sciences" of the programme study «Computer Science» of the Second (master's) study cycle

dc.contributor.author	Rayevnyeva O. V.
dc.contributor.author	Stryzhichenko K. A.
dc.contributor.author	Brovko O. I.
dc.contributor.author	Semkiv M. O.
dc.description.abstract	The list of topics and key questions that will be studied during the course, the list of competencies and learning outcomes by course, teaching methods, forms and methods of assessment learning outcomes, and the distribution of points during the teaching of the course, the example of exam card as well as recommended literature are provided. Recommended for students of specialty 122 "Computer sciences" of the programme study «Computer Science» of the Second (master's) study cycle.
dc.identifier.citation	Statistical thinking for data science: program of the course for students of specialty 122 "Computer sciences" of the programme study «Computer Science» of the Second (master's) study cycle: [Electronic edition] / O. V. Rayevnyeva, K. A. Stryzhichenko, O. I. Brovko, M. O. Semkiv. - Kharkiv: S. Kuznets KHNUE, 2024. - 12 p. (Eng. lang.)
dc.identifier.uri	http://repository.hneu.edu.ua/handle/123456789/33806
dc.language.iso	en
dc.subject	data
dc.subject	modeling
dc.subject	forecasting
dc.subject	research
dc.subject	analysis
dc.subject	socio-economic process
dc.subject	methods
dc.title	Statistical thinking for data science: program of the course for students of specialty 122 "Computer sciences" of the programme study «Computer Science» of the Second (master's) study cycle
dc.type	Other

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