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[{"key": "dc.contributor.advisor", "value": "Luoma, Eetu", "language": null, "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Pinola, Teemu", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2016-01-15T05:54:14Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2016-01-15T05:54:14Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2015", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1507344", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/48355", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 pro gradu \u2013 tutkielmassa tarkasteltiin datatieteilij\u00e4n kompetensseja. \nKompetensseja l\u00e4hestyttiin kahdesta eri n\u00e4k\u00f6kulmasta, tieteellisen kirjallisuu-\nden pohjalta sek\u00e4 empiirisesti ty\u00f6paikkailmoitusten kautta. Tutkimusmenetel-\nm\u00e4n\u00e4 k\u00e4ytettiin sis\u00e4ll\u00f6nanalyysi\u00e4. Tieteellisen kirjallisuuden pohjalta m\u00e4\u00e4ritel-\ntiin keskeiset k\u00e4sitteet massadata ja massadata-analytiikka, sek\u00e4 valittiin tutki-\nmuksessa k\u00e4ytetty viitekehys. Tutkimuksessa koottiin tieteellisess\u00e4 kirjallisuu-\ndessa esiintyneet datatieteilij\u00e4n kompetenssit. Empiirinen aineisto koostui 94 \nty\u00f6paikkailmoituksesta, joista eriteltiin datatieteilij\u00e4lt\u00e4 vaaditut kompetenssit. \nTieteellisest\u00e4 kirjallisuudesta ja empiirisest\u00e4 aineistosta ker\u00e4ttyj\u00e4 kompetensseja \nvertailtiin yhten\u00e4isen viitekehyksen avulla. Aiempaa tutkimustietoa datatieteili-\nj\u00e4n kompetensseista on hyvin v\u00e4h\u00e4n. Tulevaisuudessa datatieteilij\u00f6ist\u00e4 odote-\ntaan olevan pulaa, joten on t\u00e4rke\u00e4\u00e4 tiet\u00e4\u00e4 mit\u00e4 datatieteilij\u00e4n tulisi osata. T\u00e4m\u00e4 \non oleellista, jotta organisaatiot osaisivat rekrytoida oikein ja koulutusorgani-\nsaatiot opettaa oikeita asioita. Tutkimustulokset osoittavat, ett\u00e4 tieteellisess\u00e4 \nkirjallisuudessa ja ty\u00f6paikkailmoituksissa datatieteilij\u00e4lt\u00e4 vaadituissa kompe-\ntensseissa ei ollut kovin suuria eroja. Yll\u00e4tt\u00e4vin ero oli datatieteilij\u00e4lt\u00e4 odotetus-\nsa toimialaosaamisessa. Kirjallisuudessa datatieteilij\u00e4lt\u00e4 odotettiin toimialao-\nsaamista, mutta sit\u00e4 ei vaadittu kuin yhdess\u00e4 ty\u00f6paikkailmoituksessa. Tutki-\nmustulosten perusteella datatieteilij\u00e4n t\u00e4rkeimm\u00e4t kompetenssit ovat tilastotie-\nteellinen ja liiketoiminnallinen osaaminen, sek\u00e4 analyyttiset taidot, ohjelmointi- \nja kommunikointitaidot, koneoppiminen ja tiedonlouhinta. Lis\u00e4ksi datatieteili-\nj\u00e4lt\u00e4 odotettiin intohimoa ja kyky\u00e4 ratkaista liiketoiminnan ongelmia massada-\nta-analytiikan avulla.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "The purpose of this master\u2019s thesis is to study data scientist competencies, \nwhich were analyzed through scientific literature and job advertisements. The \ndata was analyzed by using content analysis. Based on previous research the \nframework for this study was selected and key concepts big data and big data \nanalytics were defined. The competencies of data scientist were collected from \nscientific literature. The empirical data consists of 94 job advertisements, from \nwhich the competencies required for data scientist were extracted. The compe-\ntencies from these two sources where then compared by using the selected \nframework. Previous research considering data scientist competencies is lacking. \nIn future there is expected to be a shortage of data scientists, so it is important \nto be aware of requirements for this job title. Furthermore this information is \nimportant for the recruitment as well as training of data scientists. The results of \nthis study show that there were little differences between data scientist compe-\ntencies from scientific literature and job advertisements. The most surprising \ndifference was domain knowledge. In scientific literature domain knowledge \nwas an important competency but it was mentioned only in one of the job ad-\nvertisements. Based on the results of this study the most important competen-\ncies for data scientists are statistical and business knowledge, analytical, pro-\ngramming and communication skills, machine learning and data mining. In \naddition data scientist was required to be passionate and skilled in solving \nbusiness problems through the use of big data analytics.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Miia Hakanen (mihakane) on 2016-01-15 05:54:14.525218. Form: Admin-lomake opinn\u00e4ytteiden julkaisuun (https://kirjasto.jyu.fi/julkaisut/julkaisulomakkeet/admin-lomake-opinnaytteet). JyX data: [jyx_publishing-allowed (fi) =True]", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2016-01-15T05:54:14Z\nNo. of bitstreams: 2\nURN:NBN:fi:jyu-201601151108.pdf: 784747 bytes, checksum: fecdeca2eedff5f29031ef8fe5be896f (MD5)\nlicense.html: 107 bytes, checksum: a7d86e598caa500b1b433bbb9dc8ef1c (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2016-01-15T05:54:14Z (GMT). No. of bitstreams: 2\nURN:NBN:fi:jyu-201601151108.pdf: 784747 bytes, checksum: fecdeca2eedff5f29031ef8fe5be896f (MD5)\nlicense.html: 107 bytes, checksum: a7d86e598caa500b1b433bbb9dc8ef1c (MD5)\n Previous issue date: 2015", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "1 verkkoaineisto (53 sivua)", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "datatieteilij\u00e4", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "kompetenssikehys", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "massadata", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "massadata-analytiikka", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Datatieteilij\u00e4n kompetenssien m\u00e4\u00e4ritteleminen", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201601151108", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Tietojenk\u00e4sittelytieteiden laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Computer Science and Information Systems", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.date.updated", "value": "2016-01-15T05:54:15Z", "language": null, "element": "date", "qualifier": "updated", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": null, "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": "fi", "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": null, "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "kompetenssi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "big data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "analyysi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": 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