{"id":36809,"date":"2019-10-31T22:13:56","date_gmt":"2019-10-31T19:13:56","guid":{"rendered":"https:\/\/prohoster.info\/blog\/kak-stavit-seti-na-nachinayushhih-analitikov-ili-obzor-na-onlajn-kurs-start-v-data-science\/"},"modified":"2019-10-31T22:13:56","modified_gmt":"2019-10-31T19:13:56","slug":"kak-stavit-seti-na-nachinayushhih-analitikov-ili-obzor-na-onlajn-kurs-start-v-data-science","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hr\/blog\/news\/kak-stavit-seti-na-nachinayushhih-analitikov-ili-obzor-na-onlajn-kurs-start-v-data-science","title":{"rendered":"\u00abKako nau\u010diti umre\u017eavanje za po\u010detnike analiti\u010dare\u00bb ili pregled online te\u010daja \u00abPo\u010detak u Data Science\u00bb","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Ve\u0107 \u00abtisu\u0107u godina\u00bb nisam ni\u0161ta pisao, ali odjednom se pojavio povod da skinem pra\u0161inu s mini-ciklusa objava o \u00abu\u010denju Data Science od nule\u00bb. U kontekstualnom ogla\u0161avanju jedne od dru\u0161tvenih mre\u017ea, kao i na omiljenom \u00abHabr\u00e9\u00bb, nai\u0161ao sam na informacije o te\u010daju <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/460701\/\">\u00abPo\u010detak u Data Science\u00bb<\/a><\/noindex>. Ko\u0161tao je sitne novce, opis te\u010daja bio je \u0161aren i obe\u0107avaju\u0107i. \u00abZa\u0161to ne obnoviti, pra\u0161inom prekrivene, vje\u0161tine prolaze\u0107i ovaj te\u010daj?\u00bb \u2014 pomislio sam. Tako\u0111er je odigralo svoju ulogu i znati\u017eelja, davno sam \u017eelio vidjeti kako je organizirano u\u010denje u ovoj firmi.<\/p>\n<p>Odmah \u0107u upozoriti, nisam ni na koji na\u010din povezan s razvojem te\u010daja ili njihovim konkurentima. Sav materijal \u010dlanka \u2014 moje subjektivno ocenjivanje s laganim prizvukom ironije.<br \/>\nDakle, jo\u0161 uvijek ne znate gdje biste trebali ulo\u017eiti svojih 990 kuna? Onda vas ljubazno pozivam pod kat.<\/p>\n<p><img decoding=\"async\" alt=\"\u00abKako nau\u010diti umre\u017eavanje za po\u010detnike analiti\u010dare\u00bb ili pregled online te\u010daja \u00abPo\u010detak u Data Science\u00bb\" src=\"\/wp-content\/uploads\/2019\/08\/31f926ec46a92d47291a3aa14758178f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nKao mali uvod, re\u0107i \u0107u da pomalo skepti\u010dno gledam na obe\u0107avaju\u0107e te\u010dajeve koji mogu od po\u010detnika u kratkom roku napraviti \u00abuspje\u0161nog analiti\u010dara podataka s pla\u0107om ve\u0107om od 100.000 kuna\u00bb (iako ste to vjerojatno ve\u0107 naslutili iz naslovne slike \u010dlanka).<\/p>\n<p>Prije nekoliko godina, na valu aktivnog ogla\u0161avanja u\u010denja Data Science, poku\u0161ao sam na razne na\u010dine savladati bilo \u0161to iz podru\u010dja znanosti o podacima i podijelio sam zapa\u017eanja o svojim proma\u0161ajima s \u010ditateljima Habr\u00e9.<\/p>\n<p><b class=\"spoiler_title\">Ostali \u010dlanci iz serije<\/b>1. U\u010dimo osnove:<\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/331118\/\">\u00abUhvatite velike i male podatke!\u00bb \u2014 (Kratki pregled te\u010dajeva o Data Science od Cognitive Class)<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/331794\/\">\u00abSada je on i tebe izbrojao\u00bb ili Znanost o podacima od nule (Data Science from Scratch)<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/331992\/\">\u00abSanje umjesto Oscara!\u00bb ili kako sam poku\u0161ao savladati osnove DataScience na kaggle<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/335214\/\">\u00abVlak koji je uspio!\u00bb ili \u00abSpecijalizacija u strojnog u\u010denja i analizi podataka\u00bb, o\u010dima po\u010detnika u Data Science<\/a><\/noindex><\/li>\n<\/ul>\n<p>\n2. Vje\u017ebamo prve vje\u0161tine<\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/337040\"> \u201cUstanak strojnog u\u010denja\u201d ili spajamo hobi Data Science i analizu spektra lampica<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/337438\/\"> \u00abKako po notama!\u00bb ili Strojno u\u010denje (Data Science) na C# pomo\u0107u Accord.NET Frameworka<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/338124\/\"> \u00abIskoristi Silu strojnog u\u010denja, Luke!\u00bb ili automatska klasifikacija svjetiljki prema KSS-u<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habrahabr.ru\/post\/340698\/\"> \u00ab4 vjen\u010danja i jedan sprovod\u00bb ili linearna regresija za analizu otvorenih podataka vlade Moskve<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/346222\/\"> \u00abPismo turskom sultanu\u00bb ili linearna regresija na C# uz Accord.NET za analizu otvorenih podataka Moskve<\/a><\/noindex><\/li>\n<\/ul>\n<p>\nI nakon dugog vremena odlu\u010dio sam isprobati jo\u0161 jedan te\u010daj.<\/p>\n<h4>Opis te\u010daja:<\/h4>\n<p>\nOpis te\u010daja \u00abPo\u010detak u Data Science\u00bb obe\u0107ava da \u0107emo, potro\u0161iv\u0161i samo 990 kuna <i>(u trenutku pisanja ovog \u010dlanka)<\/i> dobiti \u010detverotjedni te\u010daj u obliku video predavanja i prakti\u010dnih zadataka za po\u010detnike. Tako\u0111er ne zaboravimo na povrat dijela tro\u0161kova te\u010daja u obliku poreznog odbitka (obe\u0107avaju poslati svu dokumentaciju putem e-po\u0161te). <\/p>\n<p>U okviru te\u010daja postoje dva uvjetna bloka, jedan \u0107e objasniti \u0161to je \u00abZnanje o podacima\u00bb, koja su popularna podru\u010dja, kako se mo\u017ee razvijati karijera u podru\u010dju DataScience. Drugi blok razmatra pet alata za analizu podataka: Excel, SQL, Python, Power BI i \u00abKultura rada s podacima\u00bb. <\/p>\n<p>Pa \u0161ta, zvu\u010di \u00abukusno\u00bb, pla\u0107amo te\u010daj i \u010dekamo datum po\u010detka.<\/p>\n<p>U i\u0161\u010dekivanju, ulazimo u osobni ra\u010dun dan prije po\u010detka te\u010daja, \u010ditamo uvodne poruke od programera i \u010dekamo obavijest o dugoo\u010dekivanom po\u010detku te\u010daja.<\/p>\n<p>Vrijeme je brzo pro\u0161lo, \u00abDan D\u00bb je nastao, mo\u017eemo zapo\u010deti s u\u010denjem. Otvoriv\u0161i prvi sat, vidimo uobi\u010dajenu shemu online sustava za u\u010denje \u2013 video predavanje, dodatni materijali, testovi i doma\u0107e zada\u0107e. Ako ste ikada koristili Coursera, EDX, Stepik, ne biste trebali imati problema.<\/p>\n<h4>Unutar te\u010daja:<\/h4>\n<p>\nIdemo redom. Tema prvog sata \u2014 \u00abPregled DS: osnova, korist, primjena\u00bb, zapo\u010dinje video predavanjem, kao i svi sljede\u0107i sati.<\/p>\n<p>I ve\u0107 od samog po\u010detka osjeti se da su se drugovi vodili pristupom <b>\u00abPa \u0107e biti dobro\u00bb <\/b>iz mog omiljenog sovjetskog crti\u0107a.<\/p>\n<p>Od prve minute shva\u0107a\u0161 da materijal za te\u010daj nije snimljen posebno, ve\u0107 je izvu\u010den iz nekih drugih otvorenih lekcija ili specijaliziranih te\u010dajeva. Tako\u0111er, video <b>nema titlove i mogu\u0107nost preuzimanja <\/b> za offline gledanje.<\/p>\n<p>Nakon predavanja ponu\u0111eni su dodatni materijali za lekciju (prezentacija iz video predavanja i preporu\u010dena literatura), njih ne\u0107emo razmatrati. <\/p>\n<p>Zatim nas o\u010dekuje test. Testovi su razli\u010diti po te\u017eini i prikladnosti pitanja pro\u0111ene tematike.<\/p>\n<p>I ovdje se jo\u0161 jednom manifestira nedostatak interesa za ishod u\u010denj\u0430, <b>Test mo\u017eete propasti, ali to ne\u0107e utjecati na ni\u0161ta.<\/b>, lekciju \u0107ete svejedno uspje\u0161no zavr\u0161iti, a zahtjev za dodatnim poku\u0161ajem za ponovni ispit vjerojatno \u0107e ostati bez odgovora. <\/p>\n<p>U nastavku, shema lekcije: \"video -&gt; dodatni materijali -&gt; test\" - bit \u0107e osnova cijelog te\u010daja. <\/p>\n<p>Ponekad \u0107e lekciju obogatiti ankete i samostalni doma\u0107i zadaci.<\/p>\n<p>Doma\u0107ih zadataka ima samo dva. I ako budem iskren, pro\u0161ao sam samo jedan. <\/p>\n<p>Prvi doma\u0107i zadatak je poslati svoj \u017eivotopis s opisom klju\u010dnih vje\u0161tina. Ne mogu tvrditi sa 100% sigurno\u0161\u0107u, ali mislim da \u0107e primiti gotovo svaki \u017eivotopis i zadatak \u0107e biti prihva\u0107en. Nakon zadatka poslat \u0107e vam dodatne materijale - preporuke. Sje\u0107aju\u0107i se kako sam se mu\u010dio s doma\u0107im zadacima na Courseri, \u010dak sam se malo razo\u010darao tom jednostavno\u0161\u0107u.<\/p>\n<p>Nakon zavr\u0161etka uvodnog dijela po\u010dinje prou\u010davanje dugo o\u010dekivanih \"Alata za po\u010detak rada u Data Scienceu\". A prva lekcija nosi upe\u010datljiv naslov: \"Rad u Excelu: usavr\u0161avanje vje\u0161tina od nule do analiti\u010dara.\"<\/p>\n<p>Wow! Zvu\u010di primamljivo, ali u stvarnosti razlika izme\u0111u o\u010dekivanja i \u010dinjenice je jednaka razlici izme\u0111u fotografije hamburgera iz reklame brze hrane i onoga \u0161to \u0107ete dobiti na blagajni. <\/p>\n<p>U su\u0161tini, svjedo\u010dit \u0107emo kako se, kre\u0107u\u0107i se od automatskog popunjavanja \u0107elija u Excelu do zbunjuju\u0107eg obja\u0161njenja funkcije \"VLOOKUP()\", predava\u010d koleba, poput Hamleta, o pitanju \"Biti ili ne biti\" - \"Objasniti sve za po\u010detnike\" ili \"Dati materijal zanimljiv za stru\u010dnjake\". Po mom subjektivnom mi\u0161ljenju, nije uspjelo ni jedno ni drugo. <\/p>\n<p>Osobito je dobro \u0161to, iako te\u010daj ne uklju\u010duje live webinar. To jest, ovo nisu snimke onih predavanja koja ste propustili, ve\u0107 samo snimke predavanja koja su se odr\u017eala davno (vidi sliku ispod), autori su svejedno odlu\u010dili zadr\u017eati atmosferu. <i>(ili su se mo\u017eda jednostavno lijeni)<\/i> i <b>prisiljavaju vas da pet minuta gledate kako predava\u010d rje\u0161ava probleme sa zvukom.<\/b>. <\/p>\n<p><img decoding=\"async\" alt=\"\u00abKako nau\u010diti umre\u017eavanje za po\u010detnike analiti\u010dare\u00bb ili pregled online te\u010daja \u00abPo\u010detak u Data Science\u00bb\" src=\"\/wp-content\/uploads\/2019\/08\/1e81d4bc8c1511490175f833678a78aa.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nNakon videa po standardnoj shemi slijede - dodatni materijal i test.<\/p>\n<p>Sljede\u0107a tema je jezik SQL. U lekciji su dati osnovni pojmovi i primjeri rada sa SQL upitima, u principu video i \u010dlanci na sli\u010dnu temu mogu se <b>mirno prona\u0107i na internetu potpuno besplatno.<\/b>.<\/p>\n<p>Za SQL je predavanje o obradi skupa podataka s Kaggleom pomo\u0107u Python biblioteke \u00abPandas\u00bb. Shema lekcije se nije promijenila: video -&gt; dodatni materijali -&gt; test. Nema dodatnih zadataka, pa \u010dak ni zadatka s automatskim provjeravanjem rezultata. Tako da instaliranje \u00abAnaconde\u00bb i pisanje koda vam sigurno ne\u0107e biti potrebno. Tako\u0111er<b> valja napomenuti sitni font koda u videolekciji<\/b>, na telefonu je gledati besmisleno, a ni na ekranu nije bilo mogu\u0107e gledati osim iz blizine.<\/p>\n<p>\u010cetvrta lekcija \u00abVizualizacija izvje\u0161taja o logistici u PBI za 10 minuta\u00bb <code> (video traje otprilike 50 minuta) <\/code>. U ovom videu \u0107e pri\u010dati o zanimljivom alatu Power BI, iskreno nisam nikada prije \u010duo za njega. <\/p>\n<h4>Iznena\u0111uju\u0107e zavr\u0161avanje kursa:<\/h4>\n<p>\nPosljednja peta lekcija govorit \u0107e o op\u0107im na\u010delima pravilnog pohranjivanja podataka, predavanje je opet izvu\u010deno iz drugog kursa. U ovoj lekciji, osim standardnog testa, ponovno se pojavljuje doma\u0107i zadatak, ali njega nisam napravio. \u017delite znati za\u0161to?<\/p>\n<p>Zato \u0161to sam danas, otvaraju\u0107i stranicu kursa koji sam zavr\u0161io samo napola, vidio ovo:<\/p>\n<p><img decoding=\"async\" alt=\"\u00abKako nau\u010diti umre\u017eavanje za po\u010detnike analiti\u010dare\u00bb ili pregled online te\u010daja \u00abPo\u010detak u Data Science\u00bb\" src=\"\/wp-content\/uploads\/2019\/08\/0001864625a8e7a7d54518679c6263c8.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nDakle, <b>sustav je smatrao da sam kurs uspje\u0161no zavr\u0161io, iako ga zapravo nisam zavr\u0161io.<\/b>. <\/p>\n<p>Osim toga, nakon gledanja svih preostalih videa i prolaska testova, broja\u010d se nije promijenio i ostao je na 56%. Pretpostavljam da <b>mo\u017eda ne bih gledao ni\u0161ta i ne prolazio testove, i svejedno bih dobio \u00abDiplomu\u00bb.<\/b>.<\/p>\n<p>Osobito je iznena\u0111uju\u0107e da je u newsletteru slu\u017ebeno navedeno da je kurs trajao od 22. srpnja do 14. kolovoza, a \u00abDiplomu\u00bb su mi izdali ve\u0107 04.08.2019. <\/p>\n<h4>Zaklju\u010dak o obrazovanju<\/h4>\n<p>\nWeb stranica tvrtke nakon zavr\u0161etka obrazovanja obe\u0107ava nam: \u00abVa\u0161u kvalifikaciju potvrdit \u0107e dokumenti utvr\u0111enog obrasca\u00bb. No, na\u017ealost, \u010dini se da ovaj kurs nije ni program preobrazbe, ni program za unapre\u0111enje kvalifikacija, \u0161to zna\u010di da \u0107ete dobiti samo <b>\u00absertifikat\u00bb, koji u principu nema slu\u017ebeni status.<\/b>.<\/p>\n<p>Vjerojatno je razumno postaviti pitanje: \u00ab\u0160to si o\u010dekivao za 990 rubalja?\u00bb. Iskreno, nisam o\u010dekivao ni\u0161ta. Jasno je da kvalitetni kursevi ko\u0161taju znatno skuplje. Ali, problem je u tome \u0161to postoje besplatni kursevi koji su ne samo podjednako dobri, nego mnogo profesionalniji, na primjer kursevi od <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.microsoft.com\/ru-ru\/learn\/browse\/?term=%D0%90%D0%BD%D0%B0%D0%BB%D0%B8%D0%B7%20%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85\">MVA<\/a><\/noindex> ili od <noindex><a rel=\"nofollow\" href=\"https:\/\/cognitiveclass.ai\/courses\/\">Cognitive Class<\/a><\/noindex>. Isti \u00absertifikat\u00bb o poha\u0111anju kursa (ako nekome uop\u0107e treba), tamo. <b> mo\u017ee se dobiti potpuno besplatno<\/b>.<\/p>\n<p>Kao prednost, mo\u017ee se istaknuti da su ovi pregledni materijali prikupljeni na jednom mjestu, \u0161to \u0107e osobi koja nije upoznata s Data Science-om stvarno olak\u0161ati orijentaciju u ovoj oblasti.<\/p>\n<p>Na kraju te\u010daja obe\u0107avaju nam da \u0107emo nau\u010diti mno\u0161tvo alata, a u svom \u017eivotopisu mo\u0107i \u0107emo napisati ovako:<\/p>\n<p><img decoding=\"async\" alt=\"\u00abKako nau\u010diti umre\u017eavanje za po\u010detnike analiti\u010dare\u00bb ili pregled online te\u010daja \u00abPo\u010detak u Data Science\u00bb\" src=\"\/wp-content\/uploads\/2019\/08\/36afeb5acf408c8c44a8980f1f0cc616.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nU stvarnosti<b> to je vrlo velika pretjerivanja<\/b>. O mnogim alatima \u0107ete zapravo samo \u010duti i to je sve.<\/p>\n<h4>Sa\u017eetak<\/h4>\n<p>\nPo mom mi\u0161ljenju, te\u010daj nosi minimalnu korisnu vrijednost, posebno razo\u010darava to \u0161to su autori bili lijeni snimiti posebne video lekcije za njega. Realno, sramota je tra\u017eiti novac za ne\u0161to ovakvo, ili bi trebali tra\u017eiti deset puta manje. <\/p>\n<p>Ali jo\u0161 jednom \u0107u ponoviti da je sve \u0161to je re\u010deno samo moje subjektivno ocjenjivanje, ho\u0107ete li pro\u0107i ovaj te\u010daj ili ne \u2014 odluka je va\u0161a. <\/p>\n<p>P.S. Mo\u017eda \u0107e autori te\u010daja s vremenom doraditi i cijeli \u010dlanak \u0107e izgubiti aktualnost.<br \/>\nZa svaki slu\u010daj \u0107u napisati da je ovo ispravno za samo prvo pokretanje ovog te\u010daja od 22. srpnja do 14. kolovoza.<\/p>\n<p><i>P.P.S. Ako je post ispao toliko lo\u0161, uklonit \u0107u ga, ali prvo bih volio pro\u010ditati kritiku, mo\u017eda samo ne\u0161to treba preurediti. Jer za sada to izgleda kao oduzimanje neugodne kritike nekompetentnog te\u010daja.<\/i><br \/>\n<br \/>Izvor: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/462449\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412\u043e\u0442 \u0443\u0436\u0435 \u00ab\u0442\u044b\u0441\u044f\u0447\u0443 \u043b\u0435\u0442\u00bb \u043d\u0438\u0447\u0435\u0433\u043e \u043d\u0435 \u043f\u0438\u0441\u0430\u043b, \u043d\u043e \u0432\u0434\u0440\u0443\u0433 \u043d\u0435\u043e\u0436\u0438\u0434\u0430\u043d\u043d\u043e \u043f\u043e\u044f\u0432\u0438\u043b\u0441\u044f \u043f\u043e\u0432\u043e\u0434 \u0441\u0434\u0443\u0442\u044c \u043f\u044b\u043b\u044c \u0441 \u043c\u0438\u043d\u0438-\u0446\u0438\u043a\u043b\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0439 \u043f\u043e \u00ab\u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044e Data Science \u0441 \u043d\u0443\u043b\u044f\u00bb. \u0412 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[&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":27575,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36809","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412\u043e\u0442 \u0443\u0436\u0435 \u00ab\u0442\u044b\u0441\u044f\u0447\u0443 \u043b\u0435\u0442\u00bb \u043d\u0438\u0447\u0435\u0433\u043e \u043d\u0435 \u043f\u0438\u0441\u0430\u043b, \u043d\u043e \u0432\u0434\u0440\u0443\u0433 \u043d\u0435\u043e\u0436\u0438\u0434\u0430\u043d\u043d\u043e \u043f\u043e\u044f\u0432\u0438\u043b\u0441\u044f \u043f\u043e\u0432\u043e\u0434 \u0441\u0434\u0443\u0442\u044c \u043f\u044b\u043b\u044c \u0441 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