Methodical guidelines for laboratory work in the discipline "Data analysis tools"

dc.contributor.authorGrinberg, Galyna Leonidivna
dc.contributor.authorKonokhova, Zoya Petrіvna
dc.date.accessioned2024-08-15T07:10:36Z
dc.date.available2024-08-15T07:10:36Z
dc.date.issued2024
dc.description.abstractThe main goal of the laboratory workshop "Data Analysis Tools" is to master modern methods of information analysis using application software, namely, to acquire skills in the full cycle of data research - accumulation, structuring, analysis and visualization of analysis results. Carrying out laboratory work provides an opportunity to learn data analysis methods using a spreadsheet editor (MS Office Excel, Google Sheets, etc.). During laboratory work, students, in addition to theoretical knowledge, should acquire practical skills of sorting, filtering, formatting, summarizing and visualizing data. Laboratory works include informational material, step-by-step examples of tasks and tasks for independent implementation. Students receive evaluations for a specific type of work from the teacher individually.
dc.identifier.citationMethodical guidelines for laboratory work in the discipline "Data analysis tools" [Electronic resource] : for "Marketing" educational program second (master's) level students of full-time and correspondence education forms / comp.: G. L. Grinberg, Z. P. Konokhova ; National technical university "Kharkiv polytechnic institute". – Electronic text data. – Kharkiv : NTU "KhPI", 2024. – 165 p. – URI: https://repository.kpi.kharkov.ua/handle/KhPI-Press/80148.
dc.identifier.orcidhttps://orcid.org/0000-0002-0774-5414
dc.identifier.orcidhttps://orcid.org/0000-0003-3672-4847
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/80148
dc.language.isoen
dc.publisherNational technical university "Kharkiv polytechnic institute"
dc.subjectmethodical guidelines
dc.subjectinformation technology
dc.subjectcomputer systems
dc.subjectsoftware
dc.subjectfilters
dc.subjectinteractive diagrams
dc.subjectgraphs
dc.subjectcharts
dc.titleMethodical guidelines for laboratory work in the discipline "Data analysis tools"
dc.typeLearning Object

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