{"id":90698,"date":"2020-08-05T01:42:04","date_gmt":"2020-08-04T23:42:04","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/bystryj-start-i-nizkij-potolok-chto-zhdet-molodyh-data-science-speczialistov-na-rynke-truda"},"modified":"2020-08-05T01:42:04","modified_gmt":"2020-08-04T23:42:04","slug":"bystryj-start-i-nizkij-potolok-chto-zhdet-molodyh-data-science-speczialistov-na-rynke-truda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/bystryj-start-i-nizkij-potolok-chto-zhdet-molodyh-data-science-speczialistov-na-rynke-truda","title":{"rendered":"Fillim i shpejt\u00eb dhe tavan i ul\u00ebt. \u00c7far\u00eb pret specialist\u00ebt e rinj n\u00eb Data Science n\u00eb tregun e pun\u00ebs","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Sipas studimeve t\u00eb HeadHunter dhe Mail.ru, k\u00ebrkesa p\u00ebr specialist\u00eb n\u00eb fush\u00ebn e Data Science tejkalon ofert\u00ebn, por megjithat\u00eb, specialist\u00ebt e rinj nuk arrijn\u00eb gjithmon\u00eb t\u00eb gjejn\u00eb pun\u00eb. Po flasim p\u00ebr at\u00eb q\u00eb i mungon diplomant\u00ebve t\u00eb kurseve dhe ku duhet t\u00eb m\u00ebsojn\u00eb ata q\u00eb planifikojn\u00eb nj\u00eb karrier\u00eb t\u00eb madhe n\u00eb Data Science.<\/p>\n<blockquote><p>\u00abAta vijn\u00eb dhe mendojn\u00eb se tani do t\u00eb fitojn\u00eb 500k n\u00eb sekond\u00eb, sepse din\u00eb emrat e framworkeve dhe si t\u00eb fillojn\u00eb nj\u00eb model n\u00eb dy rreshta\u00bb<\/p><\/blockquote>\n<p>\n<b>Emil Magerramov<\/b> drejton grupin e sh\u00ebrbimeve t\u00eb kimis\u00eb llogarit\u00ebse n\u00eb kompanin\u00eb biocad dhe gjat\u00eb intervistave p\u00ebrball\u00ebt me faktin se kandidat\u00ebt nuk kan\u00eb nj\u00eb kuptim sistematik t\u00eb profesionit. Ata p\u00ebrfundojn\u00eb kurset, vijn\u00eb me njohuri t\u00eb mira n\u00eb Python dhe SQL, mund t\u00eb ngritin Hadoop ose Spark p\u00ebr 2 sekonda, t\u00eb realizojn\u00eb nj\u00eb detyr\u00eb sipas nj\u00eb TZ-je t\u00eb sakt\u00eb. Por nj\u00eb hap n\u00eb an\u00eb \u2014 tashm\u00eb nuk funksionon. Megjithat\u00eb, pik\u00ebrisht fleksibilitetin n\u00eb zgjidhje e presin pun\u00ebdh\u00ebn\u00ebsit nga specialist\u00ebt e Data Science.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>\u00c7far\u00eb ndodh n\u00eb tregun e Data Science<\/h3>\n<p>\nAft\u00ebsit\u00eb e specialist\u00ebve t\u00eb rinj reflektojn\u00eb situat\u00ebn n\u00eb tregun e pun\u00ebs. K\u00ebtu k\u00ebrkesa tejkalon ndjesh\u00ebm ofert\u00ebn, prandaj pun\u00ebdh\u00ebn\u00ebsit e d\u00ebshp\u00ebruar shpesh jan\u00eb v\u00ebrtet t\u00eb gatsh\u00ebm t\u00eb pun\u00ebsojn\u00eb specialist\u00eb t\u00eb pap\u00ebrvoj\u00eb dhe t'i formojn\u00eb ata sipas nevojave t\u00eb tyre. Ky variant funksionon, por i p\u00ebrshtatet vet\u00ebm n\u00ebse n\u00eb ekip ka nj\u00eb lider t\u00eb p\u00ebrvoj\u00ebs, i cili do t\u00eb marr\u00eb p\u00ebrsip\u00ebr trajnimin e nj\u00eb juniori.<\/p>\n<p>Sipas nj\u00eb studimi t\u00eb HeadHunter dhe Mail.ru, specialist\u00ebt e analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave jan\u00eb nj\u00eb nga grupet m\u00eb t\u00eb k\u00ebrkuara n\u00eb treg:<\/p>\n<ul>\n<li>N\u00eb vitin 2019, numri i vendeve t\u00eb pun\u00ebs n\u00eb fush\u00ebn e analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave u rrit 9.6 her\u00eb, nd\u00ebrsa n\u00eb fush\u00ebn e m\u00ebsimit t\u00eb makinerive \u2013 7.2 her\u00eb, krahasuar me vitin 2015.<\/li>\n<li>N\u00eb krahasim me vitin 2018, numri i vendeve t\u00eb pun\u00ebs p\u00ebr specialist\u00ebt e analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave u rrit 1.4 her\u00eb, p\u00ebr m\u00ebsimin e makinerive \u2013 1.3 her\u00eb.<\/li>\n<li>38% e vendeve t\u00eb hapura t\u00eb pun\u00ebs i p\u00ebrkasin kompanive IT, 29% kompanive nga sektori financiar, 9% sektorit t\u00eb sh\u00ebrbimeve p\u00ebr biznesin.<\/li>\n<\/ul>\n<p>\nSituata po p\u00ebrkeq\u00ebsohet nga numri i madh i shkollave online q\u00eb p\u00ebrgatisin k\u00ebta junior\u00eb. N\u00eb p\u00ebrgjith\u00ebsi, arsimimi p\u00ebrfshin nj\u00eb periudh\u00eb prej tre deri n\u00eb gjasht\u00eb muajsh, gjat\u00eb t\u00eb cil\u00ebs nx\u00ebn\u00ebsit arrijn\u00eb t\u00eb zot\u00ebrojn\u00eb n\u00eb nj\u00eb nivel t\u00eb bazuar mjetet kryesore: Python, SQL, analiz\u00ebn e t\u00eb dh\u00ebnave, Git dhe Linux. N\u00eb fund, rezultati \u00ebsht\u00eb nj\u00eb klasik junior: mund t\u00eb zgjidh\u00eb nj\u00eb detyr\u00eb specifike, por nuk mund ta kuptoj\u00eb problemin dhe ta formuloj\u00eb detyr\u00ebn vet\u00eb. Megjithat\u00eb, k\u00ebrkesa e lart\u00eb p\u00ebr specialist\u00eb dhe hype rreth profesionit shpesh krijon ambicie t\u00eb larta dhe k\u00ebrkesa p\u00ebr pag\u00eb.<\/p>\n<blockquote><p>Fatkeq\u00ebsisht, intervista p\u00ebr Data Science tani zakonisht duket k\u00ebshtu: kandidati tregon se ka provuar t\u00eb aplikoje disa biblioteka, por nuk mund t\u00eb p\u00ebrgjigjet n\u00eb pyetje se si funksionojn\u00eb algoritmet, pastaj k\u00ebrkon 200, 300, 400 mij\u00eb rubla n\u00eb muaj n\u00eb dor\u00eb.<\/p>\n<p>P\u00ebr shkak t\u00eb shumic\u00ebs s\u00eb sloganeve reklamues si \"\u00e7do njeri mund t\u00eb b\u00ebhet analist i t\u00eb dh\u00ebnave\", \"n\u00eb t\u00eb m\u00ebsosh m\u00ebsimin e makineri p\u00ebr tri muaj dhe fillo t\u00eb fitoj\u00eb shum\u00eb para\" dhe d\u00ebshira p\u00ebr fitim t\u00eb shpejt\u00eb, n\u00eb fush\u00ebn ton\u00eb ka hyr\u00eb nj\u00eb num\u00ebr i madh kandidat\u00ebsh superficial\u00eb pa p\u00ebrgatitje sistematike.<\/p>\n<p><b>Viktor Kantor<\/b><br \/>\nKrye Shkenc\u00ebtar i T\u00eb Dh\u00ebnave n\u00eb MTS<\/p><\/blockquote>\n<p><\/p>\n<h3>K\u00eb kan\u00eb pritur pun\u00ebdh\u00ebn\u00ebsit<\/h3>\n<p>\n\u00c7do pun\u00ebdh\u00ebn\u00ebs d\u00ebshiron q\u00eb junior\u00ebt e tij t\u00eb punojn\u00eb pa kontroll t\u00eb vazhduesh\u00ebm dhe t\u00eb mund t\u00eb zhvillohen n\u00ebn udh\u00ebheqjen e nj\u00eb timlidi. P\u00ebr k\u00ebt\u00eb, fillestari duhet t\u00eb zot\u00ebroj\u00eb menj\u00ebher\u00eb mjetet e nevojshme p\u00ebr t\u00eb zgjidhur problemet aktuale dhe t\u00eb ket\u00eb nj\u00eb baz\u00eb teorike t\u00eb mjaftueshme p\u00ebr t\u00eb propozuar gradualisht zgjidhje t\u00eb veta dhe p\u00ebr t\u00eb p\u00ebrballuar detyra m\u00eb t\u00eb komplikuara.<\/p>\n<p>Me mjetet, fillestar\u00ebt n\u00eb treg jan\u00eb n\u00eb nj\u00eb pozita t\u00eb mir\u00eb. Kursi t\u00eb shkurtra lejon q\u00eb ata t\u00eb zot\u00ebrojn\u00eb shpejt mjetet dhe t\u00eb fillojn\u00eb pun\u00ebn.<\/p>\n<p>Sipas nj\u00eb hulumtimi nga HeadHunter dhe Mail.ru, aft\u00ebsia m\u00eb e k\u00ebrkuar \u00ebsht\u00eb zot\u00ebrimi i Python. Ajo p\u00ebrmendet n\u00eb 45% t\u00eb vendeve t\u00eb pun\u00ebs p\u00ebr specialist\u00eb t\u00eb analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave dhe n\u00eb 51% t\u00eb vendeve t\u00eb pun\u00ebs n\u00eb fush\u00ebn e m\u00ebsimit t\u00eb makinerive.<\/p>\n<p>Po ashtu, pun\u00ebdh\u00ebn\u00ebsit d\u00ebshirojn\u00eb q\u00eb specialist\u00ebt e analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave t\u00eb din\u00eb SQL (23%), t\u00eb zot\u00ebrojn\u00eb analiz\u00ebn e inteligjenc\u00ebs s\u00eb t\u00eb dh\u00ebnave (DataMining) (19%), statistik\u00ebn matematikore (11%) dhe t\u00eb din\u00eb t\u00eb punojn\u00eb me t\u00eb dh\u00ebna t\u00eb m\u00ebdha (10%).<\/p>\n<p>Pun\u00ebdh\u00ebn\u00ebsit q\u00eb k\u00ebrkojn\u00eb specialist\u00eb n\u00eb m\u00ebsimin e makinerive, p\u00ebrve\u00e7 dituris\u00eb n\u00eb Python, presin q\u00eb kandidati t\u00eb zot\u00ebroj\u00eb C++ (18%), SQL (15%), algoritmet e m\u00ebsimit t\u00eb makinerive (13%) dhe Linux (11%).<\/p>\n<p>Porosit, n\u00ebse me mjetet junior\u00ebt jan\u00eb n\u00eb rregull, drejtuesit e tyre p\u00ebrballen me nj\u00eb tjet\u00ebr problem. Shumica e diplomuarve t\u00eb kurseve nuk kan\u00eb nj\u00eb kuptim t\u00eb thell\u00eb t\u00eb profesionit, prandaj t\u00eb rinjve u v\u00ebshtir\u00ebsohet avancimi.<\/p>\n<blockquote><p>Aktualisht po k\u00ebrkoj specialist\u00eb t\u00eb m\u00ebsimit t\u00eb makineris\u00eb p\u00ebr ekipin tim. N\u00eb t\u00eb nj\u00ebjt\u00ebn koh\u00eb, shoh se shpesh kandidat\u00ebt kan\u00eb m\u00ebsuar mjete t\u00eb ve\u00e7anta t\u00eb Data Science, por nuk kan\u00eb nj\u00eb kuptim t\u00eb mjaftuesh\u00ebm t\u00eb bazave teorike p\u00ebr t\u00eb krijuar zgjidhje t\u00eb reja.<\/p>\n<p><b>Emil Magerramov<\/b><br \/>\nKryetari i grupit t\u00eb sh\u00ebrbimeve t\u00eb kimis\u00eb kompjuterike, Biocad\n<\/p><\/blockquote>\n<p> Struktura dhe periudha e kursit nuk lejon nj\u00eb ndales\u00eb n\u00eb nivelin e nevojsh\u00ebm. Shpesh, diplomuarve u mungojn\u00eb ato soft skills q\u00eb zakonisht injorohen kur lexojn\u00eb nj\u00eb ofert\u00eb pune. E v\u00ebrteta \u00ebsht\u00eb, kush nga ne do t\u00eb thoshte se nuk ka mendim sistematik apo d\u00ebshir\u00eb p\u00ebr tu zhvilluar. Megjithat\u00eb, n\u00eb kontekstin e specialistit t\u00eb Data Science, kjo \u00ebsht\u00eb nj\u00eb histori m\u00eb e thell\u00eb. K\u00ebtu, p\u00ebr tu zhvilluar, nevojitet nj\u00eb p\u00ebrkushtim i fort\u00eb n\u00eb teori dhe shkenc\u00eb, i cili \u00ebsht\u00eb i mundur vet\u00ebm n\u00eb nj\u00eb m\u00ebsim t\u00eb zgjatur, si\u00e7 \u00ebsht\u00eb universiteti.<\/p>\n<blockquote><p>Shum\u00eb varet nga individi: n\u00ebse nj\u00eb intensiv tre-mujor nga pedagog\u00ebt e fort\u00eb me p\u00ebrvoj\u00eb si lider\u00eb n\u00eb kompani t\u00eb njohura kalon nj\u00eb nx\u00ebn\u00ebs me nj\u00eb themel t\u00eb mir\u00eb n\u00eb matematik\u00eb dhe programim, q\u00eb kupton t\u00eb gjith\u00eb materialin e kursit dhe \u00abp\u00ebrthith si nj\u00eb shpongj\u00eb\u00bb, si\u00e7 thon\u00eb n\u00eb shkoll\u00eb, at\u00ebher\u00eb nuk ka probleme me at\u00eb punonj\u00ebs m\u00eb von\u00eb. Por 90-95% e njer\u00ebzve, p\u00ebr t\u00eb m\u00ebsuar di\u00e7ka p\u00ebrher\u00eb, duhet t\u00eb m\u00ebsojn\u00eb dhjet\u00eb her\u00eb m\u00eb shum\u00eb dhe ta praktikojn\u00eb k\u00ebt\u00eb sistematikisht p\u00ebr disa vite rresht. Dhe kjo e b\u00ebn programin e masterit n\u00eb analiz\u00ebn e t\u00eb dh\u00ebnave nj\u00eb mund\u00ebsi t\u00eb shk\u00eblqyer p\u00ebr t\u00eb fituar nj\u00eb themel t\u00eb mir\u00eb njohurish, me t\u00eb cilin as n\u00eb intervist\u00eb nuk do t\u00eb ndiheni t\u00eb turp\u00ebruar, dhe pun\u00ebn do ta b\u00ebni shum\u00eb m\u00eb leht\u00eb.<\/p>\n<p><b>Viktor Kantor<\/b><br \/>\nKrye Shkenc\u00ebtar i T\u00eb Dh\u00ebnave n\u00eb MTS<\/p><\/blockquote>\n<h3>Ku t\u00eb studiojm\u00eb p\u00ebr t\u00eb gjetur pun\u00eb n\u00eb Data Science<\/h3>\n<p>\nN\u00eb treg ka shum\u00eb kurse t\u00eb mira p\u00ebr Data Science dhe t\u00eb marr\u00ebsh nj\u00eb arsim fillestar nuk \u00ebsht\u00eb problem. Por \u00ebsht\u00eb e r\u00ebnd\u00ebsishme t\u00eb kuptosh orientimin e k\u00ebtij arsimi. N\u00ebse kandidati tashm\u00eb ka nj\u00eb sfond t\u00eb fort\u00eb teknik, at\u00ebher\u00eb kursit intensiv \u00ebsht\u00eb ajo q\u00eb nevojitet. Njeriu do t\u00eb zot\u00ebroj\u00eb mjetet, do t\u00eb vij\u00eb n\u00eb vend dhe do t\u00eb adaptohet shpejt, sepse tashm\u00eb di t\u00eb mendoj\u00eb si nj\u00eb matematicien, t\u00eb shoh\u00eb problemin dhe t\u00eb formuloj\u00eb detyra. N\u00ebse nuk ka nj\u00eb sfond t\u00eb till\u00eb, at\u00ebher\u00eb pas kursit do t\u00eb jet\u00eb nj\u00eb ekzekutues i mir\u00eb, por me mund\u00ebsi t\u00eb kufizuara p\u00ebr rritje.<\/p>\n<blockquote><p>N\u00ebse para jush q\u00ebndron nj\u00eb detyr\u00eb afatshkurt\u00ebr p\u00ebr t\u00eb ndryshuar profesionin ose p\u00ebr t\u00eb k\u00ebrkuar pun\u00eb n\u00eb k\u00ebt\u00eb specialitet, at\u00ebher\u00eb ju p\u00ebrshtaten disa kurse sistematike, t\u00eb cilat jan\u00eb t\u00eb shkurtra dhe shpejt japin nj\u00eb grup minimal teknike aft\u00ebsish, n\u00eb m\u00ebnyr\u00eb q\u00eb t\u00eb mund t\u00eb pretendoni p\u00ebr nj\u00eb pozita fillestare n\u00eb k\u00ebt\u00eb fush\u00eb.<\/p>\n<p><b>Ivan Yamshchikov<\/b><br \/>\nDrejtori Akademik i programit online t\u00eb Masterit \"Shkenca e t\u00eb Dh\u00ebnave\"<\/p><\/blockquote>\n<p>Problemi i kurseve \u00ebsht\u00eb se ato japin nj\u00eb shp\u00ebrthim t\u00eb shpejt\u00eb, por minimal. Njeriu literalmente hyn n\u00eb profesion dhe arrin shpejt nj\u00eb maj\u00eb. P\u00ebr t\u00eb hyr\u00eb n\u00eb profesion p\u00ebr nj\u00eb koh\u00eb t\u00eb gjat\u00eb, \u00ebsht\u00eb e nevojshme t\u00eb vendoset nj\u00eb baz\u00eb e mir\u00eb q\u00eb si nj\u00eb program m\u00eb afatgjat\u00eb, p\u00ebr shembull, n\u00eb master.<\/p>\n<blockquote><p>Arsimimi i lart\u00eb \u00ebsht\u00eb i p\u00ebrshtatsh\u00ebm kur kuptoni se kjo fush\u00eb ju intereson p\u00ebr nj\u00eb periudh\u00eb afatgjat\u00eb. Ju nuk p\u00ebrpiqeni t\u00eb dilni n\u00eb pun\u00eb sa m\u00eb shpejt t\u00eb jet\u00eb e mundur. Dhe nuk d\u00ebshironi t\u00eb keni nj\u00eb maj\u00eb karriere, gjithashtu nuk d\u00ebshiron t\u00eb p\u00ebrballeni me problemin e munges\u00ebs s\u00eb njohurive, aft\u00ebsive, munges\u00ebs s\u00eb kuptimit t\u00eb ekosistemit t\u00eb p\u00ebrgjithsh\u00ebm, me an\u00eb t\u00eb t\u00eb cilit zhvillohen produktet novatore. P\u00ebr k\u00ebt\u00eb ju nevojitet n\u00eb m\u00ebnyr\u00eb specifike arsimi i lart\u00eb, i cili formon jo vet\u00ebm grupin e nevojsh\u00ebm t\u00eb aft\u00ebsive teknike, por gjithashtu strukturohet ndryshe mendimin tuaj dhe ndihmon n\u00eb formimin e nj\u00eb vizioni p\u00ebr karrier\u00ebn tuaj n\u00eb nj\u00eb perspektiv\u00eb m\u00eb afatgjat\u00eb.<\/p>\n<p><b>Ivan Yamshchikov<\/b><br \/>\nDrejtori Akademik i programit online t\u00eb Masterit \"Shkenca e t\u00eb Dh\u00ebnave\"\n<\/p><\/blockquote>\n<p>Mungesa e maj\u00ebs n\u00eb karrier\u00eb \u00ebsht\u00eb p\u00ebrpar\u00ebsia kryesore e programit t\u00eb masterit. Brenda dy viteve, specialisti merr nj\u00eb baz\u00eb teorike t\u00eb fort\u00eb. K\u00ebshtu duket semestri i par\u00eb n\u00eb programin Data Science t\u00eb NITU \"MISiS\":<\/p>\n<ul>\n<li>Hyrja n\u00eb Data Science. 2 jav\u00eb.<\/li>\n<li>T\u00eb dh\u00ebna analizash. Procesimi i t\u00eb dh\u00ebnave. 2 jav\u00eb.<\/li>\n<li>M\u00ebsimi makinerik. Paraprocesimi i t\u00eb dh\u00ebnave. 2 jav\u00eb.<\/li>\n<li>EDA. Analiza eksploruese e t\u00eb dh\u00ebnave. 3 jav\u00eb.<\/li>\n<li>Algoritmet kryesore t\u00eb m\u00ebsimit makinerik. Pjesa 1 + Pjesa 2 (6 jav\u00eb)<\/li>\n<\/ul>\n<p>\nN\u00eb k\u00ebt\u00eb m\u00ebnyr\u00eb, mund t\u00eb fitohet p\u00ebrvoj\u00eb praktike n\u00eb pun\u00eb. Asgj\u00eb nuk e pengon t\u00eb zbatohet n\u00eb nj\u00eb pozita junior, sapo student\u00ebt t\u00eb zot\u00ebrojn\u00eb mjetet e nevojshme. Megjithat\u00eb, ndryshe nga nj\u00eb diplom\u00eb nga kurset, nj\u00eb master nuk e ndalon k\u00ebtu m\u00ebsimin e tij, por vazhdon t\u00eb thellohet n\u00eb profesion. N\u00eb t\u00eb ardhmen, kjo lejon zhvillim t\u00eb pakufizuar n\u00eb Data Science.<\/p>\n<blockquote><p>N\u00eb faqen e internetit t\u00eb universitetit t\u00eb shkencave dhe teknologjive \"MISiS\" po zhvillohen <noindex><a rel=\"nofollow\" href=\"https:\/\/data.misis.ru\/?utm_source=habr&amp;utm_medium=st&amp;utm_campaign=hhmail&amp;utm_term=statiahh&amp;utm_content=2707#dayopendoor\">Dit\u00ebt e hapura dhe webinaret<\/a><\/noindex> p\u00ebr ata q\u00eb duan t\u00eb punojn\u00eb n\u00eb Data Science. P\u00ebrfaq\u00ebsues t\u00eb NITU \"MISiS\", SkillFactory, HeadHunter, Facebook, Mail.ru Group dhe Yandex, flasin p\u00ebr gj\u00ebrat m\u00eb t\u00eb r\u00ebnd\u00ebsishme:<\/p>\n<ul>\n<li>\"Si t\u00eb gjejm\u00eb vendin ton\u00eb n\u00eb Data Science?\",<\/li>\n<li>\"A mund t\u00eb b\u00ebhesh data scientist nga zero?\",<\/li>\n<li>\"A do t\u00eb ket\u00eb ende nevoj\u00eb p\u00ebr data scientist\u00eb n\u00eb 2-5 vjet?\",<\/li>\n<li>\"P\u00ebr \u00e7far\u00eb probleme punojn\u00eb specialist\u00ebt e data science?\",<\/li>\n<li>\"Si t\u00eb nd\u00ebrtojm\u00eb nj\u00eb karrier\u00eb n\u00eb Data Science?\"<\/li>\n<\/ul>\n<p>\nM\u00ebsim online, diplom\u00eb shtet\u00ebrore. <noindex><a rel=\"nofollow\" href=\"https:\/\/data.misis.ru\/?utm_source=habr&amp;utm_medium=st&amp;utm_campaign=hhmail&amp;utm_term=statiahh&amp;utm_content=2707\">Aplikimet p\u00ebr programin<\/a><\/noindex> pranohet deri m\u00eb <b>10 gusht<\/b>.<\/p><\/blockquote>\n<p>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/513566\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u043e \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f\u043c HeadHunter \u0438 Mail.ru \u0441\u043f\u0440\u043e\u0441 \u043d\u0430 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 Data Science \u043f\u0440\u0435\u0432\u044b\u0448\u0430\u0435\u0442 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u043d\u043e \u0434\u0430\u0436\u0435 \u0442\u0430\u043a \u043c\u043e\u043b\u043e\u0434\u044b\u043c \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u0430\u043c \u043d\u0435 \u0432\u0441\u0435\u0433\u0434\u0430 \u0443\u0434\u0430\u0435\u0442\u0441\u044f \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0431\u043e\u0442\u0443. \u0420\u0430\u0441\u0441\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u043c, \u0447\u0435\u0433\u043e \u043d\u0435 \u0445\u0432\u0430\u0442\u0430\u0435\u0442 \u0432\u044b\u043f\u0443\u0441\u043a\u043d\u0438\u043a\u0430\u043c \u043a\u0443\u0440\u0441\u043e\u0432 \u0438 \u0433\u0434\u0435 \u0443\u0447\u0438\u0442\u044c\u0441\u044f \u0442\u0435\u043c, \u043a\u0442\u043e \u043f\u043b\u0430\u043d\u0438\u0440\u0443\u0435\u0442 \u0431\u043e\u043b\u044c\u0448\u0443\u044e \u043a\u0430\u0440\u044c\u0435\u0440\u0443 \u0432 Data Science. \u00ab\u041e\u043d\u0438 \u043f\u0440\u0438\u0445\u043e\u0434\u044f\u0442 \u0438 \u0434\u0443\u043c\u0430\u044e\u0442, \u0447\u0442\u043e \u0441\u0435\u0439\u0447\u0430\u0441 \u0431\u0443\u0434\u0443\u0442 \u0437\u0430\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c 500\u043a \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0443, \u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e \u0437\u043d\u0430\u044e\u0442 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-90698","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u043e \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f\u043c HeadHunter \u0438 Mail.ru \u0441\u043f\u0440\u043e\u0441 \u043d\u0430 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 Data Science \u043f\u0440\u0435\u0432\u044b\u0448\u0430\u0435\u0442 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u043d\u043e \u0434\u0430\u0436\u0435 \u0442\u0430\u043a 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