{"id":36808,"date":"2019-10-31T22:13:56","date_gmt":"2019-10-31T19:13:56","guid":{"rendered":"https:\/\/prohoster.info\/blog\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi\/"},"modified":"2019-10-31T22:13:56","modified_gmt":"2019-10-31T19:13:56","slug":"kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","title":{"rendered":"Te\u010daj \u201eZa\u010detek v Data Science\u201c: prvi korak v delu s podatki","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Za\u010dnemo nov te\u010daj za za\u010detnike \u2014 \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/start-ds?utm_source=blog&amp;utm_medium=1492&amp;utm_campaign=bds_obds_ou_habr_19072019startds\">Za\u010detek v Data Science<\/a><\/noindex>\u201c. Zgolj za 990 rubljev se boste poglobili v Data Science: spoznali boste specializacije, izbrali poklic in izpopolnili ve\u0161\u010dine dela z podatki.\u00a0<\/p>\n<p>Data Science je znanost o podatkih in njihovi analizi. Mnogi menijo, da je vstop v to podro\u010dje zelo te\u017eak: dolgo\u010dasen, dolgotrajen in potreben je \u0161tudij fizike in matematike. A to ni res \u2014 vsak lahko najde poklic, ki mu ustreza, ali izpopolni posamezne ve\u0161\u010dine dela s podatki.<\/p>\n<p>Te\u010daj \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/start-ds?utm_source=blog&amp;utm_medium=1492&amp;utm_campaign=bds_obds_ou_habr_19072019startds\">Za\u010detek v Data Science<\/a><\/noindex>\u201c je namenjen tistim, ki \u017eelijo pridobiti iskano in dobro pla\u010dano delo, vendar ne vedo, katero podro\u010dje izbrati, kje se u\u010diti in kako napredovati na tem podro\u010dju. Poleg tega je primeren za vse, ki se v delu sre\u010dujejo z Big Data, strojnim u\u010denjem, analitiko podatkov ali preprosto zanimajo za to temo.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Izvedeli boste<\/h2>\n<p><\/p>\n<ul>\n<li>kaj je Data Science;<\/li>\n<li>katera podro\u010dja in poklici obstajajo;<\/li>\n<li>trike formatiranja celic in izra\u010dunov brez formul;<\/li>\n<li>kako skriti pomembne informacije;<\/li>\n<li>tehnike prenosa podatkov iz enega tabelari\u010dnega dokumenta v drugega;<\/li>\n<li>katerih Python knji\u017enice so na voljo za analizo podatkov;<\/li>\n<li>kje in za kaj se uporablja SQL, kak\u0161ne naloge lahko re\u0161uje in katere analiti\u010dne funkcije ima.<\/li>\n<\/ul>\n<p><\/p>\n<h2>Nau\u010dili se boste<\/h2>\n<p><\/p>\n<ul>\n<li>pripravljati lepe interaktivne poro\u010dila v Power BI brez programiranja;<\/li>\n<li>uporabljati data-driven mi\u0161ljenje v delu;<\/li>\n<li>upravljati Big Data: zbirati, shranjevati, ocenjevati kakovost, za\u0161\u010dititi, \u0161iriti in pretvoriti;<\/li>\n<li>pisati preprosto kodo.\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<h2>U\u010ditelji<\/h2>\n<p>\n<b>Elena Gerasimova<\/b>, vodja programov Data Science v Netologiji.<\/p>\n<p><b>Darya Mukhina<\/b>, produkcijska analiti\u010darka v Skyengu.\u00a0<\/p>\n<p><b>Aleksey Chernobrovov<\/b>, svetovalec za razvoj v Pult.ru, Mazda, Skyeng.<\/p>\n<p><b>Pavel Kozlov<\/b>, trener projekta CIE podjetja Microsoft.<\/p>\n<p><b>Dmitriy Yakushev<\/b>, trener in razvijalec u\u010dnih te\u010dajev v Akademiji Excel.<\/p>\n<p><b>Aleksey Kuzmin<\/b>, direktor razvoja v DomKlik.\u00a0<\/p>\n<h2>Cena<\/h2>\n<p>\n<b>Cena te\u010daja:<\/b> skupaj 990 rubljev. \u010ce nadaljujete s \u0161tudijem v Netologiji, se ta znesek upo\u0161teva kot popust pri nakupu drugih te\u010dajev o Data Science.<br \/>\n<br \/>Izvor: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/460701\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041c\u044b \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u043c \u043d\u043e\u0432\u044b\u0439 \u043a\u0443\u0440\u0441 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432 \u2014 \u00ab\u0421\u0442\u0430\u0440\u0442 \u0432 Data Science\u00bb. \u0412\u0441\u0435\u0433\u043e \u0437\u0430 990 \u0440\u0443\u0431\u043b\u0435\u0439 \u0432\u044b \u043f\u043e\u0433\u0440\u0443\u0437\u0438\u0442\u0435\u0441\u044c \u0432 Data Science: \u0443\u0437\u043d\u0430\u0435\u0442\u0435 \u043e \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f\u0445, \u0432\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u044e \u0438 \u043f\u0440\u043e\u043a\u0430\u0447\u0430\u0435\u0442\u0435 \u043d\u0430\u0432\u044b\u043a\u0438 \u0432 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438.\u00a0 Data Science \u2014 \u043d\u0430\u0443\u043a\u0430 \u043e \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u0438\u0445 \u0430\u043d\u0430\u043b\u0438\u0437\u0435. \u041c\u043d\u043e\u0433\u0438\u0435 \u0441\u0447\u0438\u0442\u0430\u044e\u0442, \u0447\u0442\u043e \u0432\u043e\u0439\u0442\u0438 \u0432 \u0441\u0444\u0435\u0440\u0443 \u043e\u0447\u0435\u043d\u044c \u0442\u044f\u0436\u0435\u043b\u043e: \u043d\u0443\u0434\u043d\u043e, \u0434\u043e\u043b\u0433\u043e \u0438 \u043d\u0443\u0436\u043d\u043e \u0444\u0438\u0437\u043c\u0430\u0442-\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435. \u041d\u043e [&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":[702],"tags":[],"class_list":["post-36808","post","type-post","status-publish","format-standard","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=\"\u041c\u044b \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u043c \u043d\u043e\u0432\u044b\u0439 \u043a\u0443\u0440\u0441 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432 \u2014 \u00ab\u0421\u0442\u0430\u0440\u0442 \u0432 Data.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" 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