{"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":"Fillimi i shpejt\u00eb dhe nj\u00eb plafon t\u00eb ul\u00ebt. \u00c7far\u00eb pret profesionist\u00ebt e rinj t\u00eb Data Science n\u00eb tregun e pun\u00ebs","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Sipas hulumtimit t\u00eb HeadHunter dhe Mail.ru, k\u00ebrkesa p\u00ebr specialist\u00eb n\u00eb fush\u00ebn e Data Science tejkalon ofert\u00ebn, por madje edhe k\u00ebshtu, specialist\u00ebt e rinj nuk arrijn\u00eb gjithmon\u00eb t\u00eb gjejn\u00eb pun\u00eb. Po flasim se \u00e7far\u00eb u mungon t\u00eb diplomuarve t\u00eb kurseve dhe ku duhet t\u00eb studiojn\u00eb ata q\u00eb planifikojn\u00eb nj\u00eb karrier\u00eb t\u00eb madhe n\u00eb Data Science.<\/p>\n<blockquote><p>\u00abVijn\u00eb dhe mendojn\u00eb se tani do t\u00eb fillojn\u00eb t\u00eb fitojn\u00eb 500k n\u00eb sekond\u00eb, sepse din\u00eb emrat e framework-eve dhe si t\u00eb b\u00ebjn\u00eb t\u00eb funksionoj\u00eb modelin 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\u00ebrballet me faktin se kandidat\u00ebt nuk kan\u00eb nj\u00eb kuptim t\u00eb sistemuar t\u00eb profesionit. Ata p\u00ebrfundojn\u00eb kurset, vijn\u00eb me njohuri t\u00eb mira n\u00eb Python dhe SQL, mund t\u00eb ngrejn\u00eb Hadoop ose Spark p\u00ebr 2 sekonda, t\u00eb kryejn\u00eb nj\u00eb detyr\u00eb sipas nj\u00eb T\u00eb n\u00ebngjyr\u00eb t\u00eb qart\u00eb. Por, nj\u00eb hap n\u00eb an\u00eb \u2013 nuk \u00ebsht\u00eb m\u00eb. 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 po ndodh n\u00eb tregun e Data Science<\/h3>\n<p>\nK\u00ebrkesat e specialist\u00ebve t\u00eb rinj pasqyrojn\u00eb situat\u00ebn n\u00eb tregun e pun\u00ebs. K\u00ebtu, k\u00ebrkesa tejkalon ndjesh\u00ebm ofert\u00ebn, prandaj pun\u00ebdh\u00ebn\u00ebsi t\u00eb d\u00ebshp\u00ebruar shpesh jan\u00eb v\u00ebrtet t\u00eb gatsh\u00ebm t\u00eb pun\u00ebsojn\u00eb specialist\u00eb krejt\u00ebsisht t\u00eb rinj dhe t'i rrisin ata sipas nevojave t\u00eb tyre. Ky \u00ebsht\u00eb nj\u00eb opsion funksional, por p\u00ebrshtatet vet\u00ebm n\u00eb rast se n\u00eb ekipin ekziston nj\u00eb lider i p\u00ebrvojsh\u00ebm, i cili do t\u00eb marr\u00eb p\u00ebrsip\u00ebr trajnimin e juniorit.<\/p>\n<p>Sipas hulumtimit t\u00eb HeadHunter dhe Mail.ru, specialist\u00ebt e analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave jan\u00eb nj\u00eb nga m\u00eb t\u00eb k\u00ebrkuarit 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 me 9.6 her\u00eb, dhe n\u00eb fush\u00ebn e m\u00ebsimit t\u00eb makinerive \u2013 me 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 me 1.4 her\u00eb, p\u00ebr m\u00ebsimin e makinerive \u2013 me 1.3 her\u00eb.<\/li>\n<li>38% e vendeve t\u00eb hapura t\u00eb pun\u00ebs jan\u00eb n\u00eb kompanit\u00eb IT, 29% n\u00eb sektorin financiar, 9% n\u00eb sh\u00ebrbimet p\u00ebr biznes.<\/li>\n<\/ul>\n<p>\nSituata ushqehet nga shum\u00eb shkolla online t\u00eb cilat p\u00ebrgatisin ata t\u00eb rinjt\u00eb. Kryesisht, m\u00ebsimi zgjat nga tri deri n\u00eb gjasht\u00eb muaj, gjat\u00eb t\u00eb cilave student\u00ebt arrijn\u00eb t\u00eb zot\u00ebrojn\u00eb n\u00eb nivele t\u00eb bazuara mjetet kryesore: Python, SQL, analiza e t\u00eb dh\u00ebnave, Git dhe Linux. Rezultati \u00ebsht\u00eb nj\u00eb klasike junior: mund t\u00eb zgjidh\u00eb nj\u00eb detyr\u00eb konkrete, por nuk mund ta kuptoj\u00eb problemin dhe t\u00eb formuloj\u00eb detyr\u00ebn vet\u00eb ende. Megjithat\u00eb, k\u00ebrkesa e lart\u00eb p\u00ebr specialist\u00eb dhe hype rreth profesionit shpesh krijon ambicie dhe k\u00ebrkesa t\u00eb larta p\u00ebr pagat.<\/p>\n<blockquote><p>Fatkeq\u00ebsisht, intervistat p\u00ebr Data Science zakonisht duket k\u00ebshtu: kandidati tregon se kishte provuar t\u00eb aplikonte disa biblioteka, nuk mund t\u00eb p\u00ebrgjigjet p\u00ebr pyetje se si funksionojn\u00eb algoritmet, dhe pastaj k\u00ebrkon 200, 300, 400 mij\u00eb rubla n\u00eb muaj n\u00eb dor\u00eb.<\/p>\n<p>P\u00ebr shkak t\u00eb numrit t\u00eb madh t\u00eb sloganeve reklamues si '\u00e7do kush mund t\u00eb b\u00ebhet analist i t\u00eb dh\u00ebnave', 'm\u00ebso m\u00ebsimin e makinerive p\u00ebr tri muaj dhe fillo t\u00eb fitoj\u00eb nj\u00eb shum\u00eb t\u00eb madhe parash' dhe etjes p\u00ebr fitime t\u00eb shpejta, n\u00eb fush\u00ebn ton\u00eb ka hyr\u00eb nj\u00eb fluks i madh kandidat\u00ebve t\u00eb sip\u00ebrfaqsh\u00ebm krejt\u00ebsisht pa nj\u00eb p\u00ebrgatitje sistematike.<\/p>\n<p><b>Viktor Kantor<\/b><br \/>\nKryetar i Shkenc\u00ebs s\u00eb Dh\u00ebnave n\u00eb MTS<\/p><\/blockquote>\n<p><\/p>\n<h3>K\u00eb e presin pun\u00ebdh\u00ebn\u00ebsit<\/h3>\n<p>\n\u00c7do pun\u00ebdh\u00ebn\u00ebs do t\u00eb donte q\u00eb junior\u00ebt e tij t\u00eb punonin pa mbik\u00ebqyrje t\u00eb vazhdueshme dhe t\u00eb mund t\u00eb zhvilloheshin n\u00ebn drejtimin e nj\u00eb lideri. P\u00ebr k\u00ebt\u00eb, \u043d\u043e\u0432\u0438\u0447ok duhet t\u00eb zot\u00ebroj\u00eb menj\u00ebher\u00eb mjetet e nevojshme p\u00ebr t\u00eb zgjidhur detyrat aktuale dhe t\u00eb ket\u00eb nj\u00eb baz\u00eb teorike t\u00eb mjaftueshme, p\u00ebr t\u00eb ofruar gradualisht zgjidhje t\u00eb veta dhe p\u00ebr t'u ngritur n\u00eb detyra m\u00eb t\u00eb komplikuara.<\/p>\n<p>N\u00eb lidhje me mjeteve, fillestar\u00ebt n\u00eb treg poja ndihmojn\u00eb mjaft mir\u00eb. Kurset afatshkurtra lejojn\u00eb q\u00eb ato t\u00eb m\u00ebsohen shpejt dhe t\u00eb nisin pun\u00ebn.<\/p>\n<p>Sipas hulumtimit t\u00eb HeadHunter dhe Mail.ru, aft\u00ebsia m\u00eb e k\u00ebrkuar \u00ebsht\u00eb zot\u00ebrimi i Python. Kjo p\u00ebrmendet n\u00eb 45% t\u00eb vendeve t\u00eb pun\u00ebs p\u00ebr specialist\u00ebt e analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave dhe n\u00eb 51% t\u00eb vendeve t\u00eb pun\u00ebs p\u00ebr m\u00ebsimin e makinerive.<\/p>\n<p>Gjithashtu, pun\u00ebdh\u00ebn\u00ebsit duan 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 inteligjente t\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 fush\u00ebn e m\u00ebsimit t\u00eb makinerive, p\u00ebrve\u00e7 njohjes s\u00eb Python, presin gjithashtu 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>Por n\u00ebse n\u00eb lidhje me mjete, junior\u00ebt jan\u00eb n\u00eb nj\u00eb gjendje t\u00eb mir\u00eb, drejtuesit e tyre p\u00ebrballen me nj\u00eb problem tjet\u00ebr. Shumica e diplomuarve t\u00eb kurseve nuk kan\u00eb nj\u00eb kuptim t\u00eb thell\u00eb t\u00eb profesionit, prandaj, pasi fillestarit i \u00ebsht\u00eb e v\u00ebshtir\u00eb t\u00eb p\u00ebrparoj\u00eb.<\/p>\n<blockquote><p>Un\u00eb tani po k\u00ebrkoj specialist\u00eb p\u00ebr m\u00ebsimin e makinerive p\u00ebr ekipin tim. Megjithat\u00eb, shoh se shpesh kandidat\u00ebt kan\u00eb zot\u00ebruar mjetet e ve\u00e7anta t\u00eb Data Science, por ata nuk kan\u00eb nj\u00eb kuptim t\u00eb mjaftuesh\u00ebm t\u00eb parimeve teorike p\u00ebr t\u00eb krijuar zgjidhje t\u00eb reja.<\/p>\n<p><b>Emil Magerramov<\/b><br \/>\nKreu i grupit t\u00eb sh\u00ebrbimeve t\u00eb kimis\u00eb informatike, Biocad\n<\/p><\/blockquote>\n<p> Struktura dhe zgjatja e kurseve nuk lejojn\u00eb t\u00eb thellohemi n\u00eb nivelin e nevojsh\u00ebm. Absolvent\u00ebve shpesh u mungojn\u00eb ato soft skills, t\u00eb cilat zakonisht p\u00ebrjashtohen gjat\u00eb leximit t\u00eb shpalljeve t\u00eb vendeve t\u00eb pun\u00ebs. Pra, me t\u00eb v\u00ebrtet\u00eb, kush nga ne do t\u00eb thot\u00eb se nuk ka mendim sistematik apo d\u00ebshir\u00eb p\u00ebr t'u zhvilluar. Megjithat\u00eb, n\u00eb kontekstin e specialist\u00ebve Data Science, ka nj\u00eb tregim m\u00eb t\u00eb thell\u00eb. K\u00ebtu, p\u00ebr t'u zhvilluar, duhet nj\u00eb theks i fort\u00eb n\u00eb teori dhe shkenc\u00eb, i cili \u00ebsht\u00eb i mundur vet\u00ebm p\u00ebrmes nj\u00eb t\u00eb edukimi m\u00eb t\u00eb gjat\u00eb, p\u00ebr shembull, n\u00eb universitet.<\/p>\n<blockquote><p>Shum\u00eb varet nga individi: n\u00ebse nj\u00eb rajoni tre-mujor nga m\u00ebsimdh\u00ebn\u00ebs t\u00eb fort\u00eb me p\u00ebrvoj\u00eb si lider\u00eb ekipesh n\u00eb kompani t\u00eb njohura ndjek nj\u00eb student me nj\u00eb baz\u00eb t\u00eb fort\u00eb n\u00eb matematik\u00eb dhe programim, q\u00eb angazhohet n\u00eb t\u00eb gjitha materialet e kursit dhe 'grumbullon si nj\u00eb shpung\u00eb', si\u00e7 thoshim n\u00eb shkoll\u00eb, at\u00ebher\u00eb nuk ka probleme me nj\u00eb punonj\u00ebs t\u00eb till\u00eb m\u00eb von\u00eb. Por 90-95% e njer\u00ebzve, p\u00ebr t\u00eb p\u00ebrvet\u00ebsuar di\u00e7ka p\u00ebrher\u00eb, duhet t\u00eb m\u00ebsojn\u00eb dhjet\u00eb her\u00eb m\u00eb shum\u00eb dhe ta b\u00ebjn\u00eb k\u00ebt\u00eb sistematikisht p\u00ebr disa vite me radh\u00eb. Dhe kjo b\u00ebn q\u00eb programet master n\u00eb analiz\u00ebn e t\u00eb dh\u00ebnave t\u00eb jen\u00eb nj\u00eb mund\u00ebsi t\u00eb shk\u00eblqyer p\u00ebr t\u00eb krijuar nj\u00eb baz\u00eb t\u00eb mir\u00eb njohurish, me t\u00eb cil\u00ebn as n\u00eb intervista nuk do t\u00eb keni nevoj\u00eb t\u00eb p\u00ebrballeni, dhe puna do t\u00eb jet\u00eb shum\u00eb m\u00eb e leht\u00eb.<\/p>\n<p><b>Viktor Kantor<\/b><br \/>\nKryetar i Shkenc\u00ebs s\u00eb Dh\u00ebnave n\u00eb MTS<\/p><\/blockquote>\n<h3>Ku t\u00eb studioni 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 ka nj\u00eb paraqitje t\u00eb fuqishme teknike, at\u00ebher\u00eb kurset intensive jan\u00eb ato q\u00eb duhen. Njeriu do t\u00eb zot\u00ebroj\u00eb mjetet, do t\u00eb vij\u00eb n\u00eb vend dhe do t\u00eb integrohet shpejt, sepse tashm\u00eb di t\u00eb mendoj\u00eb si nj\u00eb matematik, t\u00eb shoh\u00eb problemin dhe t\u00eb formuloj\u00eb detyra. N\u00ebse kjo paraqitje nuk \u00ebsht\u00eb e pranishme, at\u00ebher\u00eb pas kursit do t\u00eb jet\u00eb nj\u00eb ekzekutor i shk\u00eblqyer, por me mund\u00ebsi t\u00eb kufizuara p\u00ebr rritje.<\/p>\n<blockquote><p>N\u00ebse p\u00ebrpara jush q\u00ebndron nj\u00eb detyr\u00eb afatshkurt\u00ebr p\u00ebr t\u00eb ndryshuar profesion ose p\u00ebr t\u00eb gjetur pun\u00eb n\u00eb k\u00ebt\u00eb specializim, at\u00ebher\u00eb ju p\u00ebrshtaten disa kurse sistematike, q\u00eb jan\u00eb t\u00eb shkurtra dhe ofrojn\u00eb shpejt nj\u00eb set minimal aft\u00ebsish teknike, n\u00eb m\u00ebnyr\u00eb q\u00eb t\u00eb mund t\u00eb pretendoni p\u00ebr nj\u00eb pozit\u00eb fillestare n\u00eb k\u00ebt\u00eb fush\u00eb.<\/p>\n<p><b>Ivan Yamshchikov<\/b><br \/>\nDrejtori akademik i masterit online \u2018Shkenca e t\u00eb Dh\u00ebnave\u2019<\/p><\/blockquote>\n<p>Problemi me kursin \u00ebsht\u00eb se ata ofrojn\u00eb nj\u00eb rritje t\u00eb shpejt\u00eb, por minimale. Njeriu me t\u00eb v\u00ebrtet\u00eb hyn n\u00eb profesion dhe arrin shpejt maj\u00ebn. 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 themel i fort\u00eb n\u00eb form\u00ebn e nj\u00eb programi m\u00eb afatgjat\u00eb, p\u00ebr shembull, n\u00eb master.<\/p>\n<blockquote><p>Arsimi i lart\u00eb \u00ebsht\u00eb i p\u00ebrshtatsh\u00ebm kur kupton se kjo fush\u00eb \u00ebsht\u00eb e interesuar p\u00ebr ty n\u00eb afat t\u00eb gjat\u00eb. Nuk po p\u00ebrpiqesh t\u00eb dal\u00ebsh n\u00eb pun\u00eb sa m\u00eb shpejt t\u00eb jet\u00eb e mundur. Dhe nuk d\u00ebshiron q\u00eb t\u00eb kesh nj\u00eb kufizim n\u00eb karrier\u00eb, gjithashtu nuk d\u00ebshiron t\u00eb p\u00ebrballesh me problemin e munges\u00ebs s\u00eb njohurive, aft\u00ebsive, munges\u00ebs s\u00eb kuptimit t\u00eb ekosistemit t\u00eb p\u00ebrgjithsh\u00ebm, me ndihm\u00ebn e t\u00eb cilit zhvillohen produktet inovative. P\u00ebr k\u00ebt\u00eb, nevojitet arsimi i lart\u00eb, i cili jo vet\u00ebm q\u00eb formon nj\u00eb set t\u00eb nevojsh\u00ebm aft\u00ebsish teknike, por gjithashtu strukturon ndryshe mendimin tuaj dhe ndihmon n\u00eb krijimin 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 masterit online \u2018Shkenca e t\u00eb Dh\u00ebnave\u2019\n<\/p><\/blockquote>\n<p>Mungesa e kufizimit n\u00eb karrier\u00eb \u00ebsht\u00eb avantazhi kryesor i programit master. N\u00eb dy vite, specialisti merr nj\u00eb baz\u00eb teorike t\u00eb fuqishme. K\u00ebshtu duket semestri i par\u00eb n\u00eb programin Data Science t\u00eb NITU \u2018MISiS\u2019:<\/p>\n<ul>\n<li>Introduksion n\u00eb Data Science. 2 jav\u00eb.<\/li>\n<li>Elementet e analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave. P\u00ebrpunimi i t\u00eb dh\u00ebnave. 2 jav\u00eb<\/li>\n<li>M\u00ebsimi i makin\u00ebs. Parap\u00ebrpunimi 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 t\u00eb makin\u00ebs. Pjesa 1 + Pjesa 2 (6 jav\u00eb)<\/li>\n<\/ul>\n<p>\nN\u00eb t\u00eb nj\u00ebjt\u00ebn koh\u00eb, mund t\u00eb fitoni p\u00ebrvoj\u00eb praktike n\u00eb pun\u00eb. Asgj\u00eb nuk e pengon t\u00eb punoni n\u00eb pozita junior, sa her\u00eb q\u00eb studenti ka zot\u00ebruar mjetet e nevojshme. Tani, ndryshe nga nj\u00eb diplom\u00eb kursi, magistri 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 n\u00eb Data Science pa kufizime.<\/p>\n<blockquote><p>N\u00eb faqen e universitetit t\u00eb shkenc\u00ebs dhe teknologjis\u00eb \u2018MISiS\u2019 organizohen <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 webinare<\/a><\/noindex> p\u00ebr ata q\u00eb duan t\u00eb punojn\u00eb n\u00eb Data Science. P\u00ebrfaq\u00ebsuesit e NITU \u2018MISiS\u2019, SkillFactory, HeadHunter, Facebook, Mail.ru Group dhe Yandex, tregojn\u00eb p\u00ebr gj\u00ebrat m\u00eb t\u00eb r\u00ebnd\u00ebsishme:<\/p>\n<ul>\n<li>\u2018Si t\u00eb gjej vendin tuaj n\u00eb Data Science?\u2019<\/li>\n<li>\u2018A \u00ebsht\u00eb e mundur t\u00eb b\u00ebhesh data scientist nga zero?\u2019<\/li>\n<li>\u2018A do t\u00eb vazhdoj\u00eb nevoja p\u00ebr data scientists pas 2-5 vjet\u00ebsh?\u2019<\/li>\n<li>\u2018N\u00eb cilat detyra punojn\u00eb specialist\u00ebt e data science?\u2019<\/li>\n<li>\u2018Si t\u00eb nd\u00ebrtohet nj\u00eb karrier\u00eb n\u00eb Data Science?\u2019<\/li>\n<\/ul>\n<p>\nM\u00ebsimi online, diplom\u00eb e arsimit shtet\u00ebror. <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 5.0.0.1 - 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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