{"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\/hu\/blog\/news\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","title":{"rendered":"A 'Start in Data Science' kurz: az els\u0151 l\u00e9p\u00e9s az adatokkal val\u00f3 munk\u00e1ban","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00daj kurzust ind\u00edtunk kezd\u0151knek \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\">Start in Data Science<\/a><\/noindex>\u201d. Mind\u00f6ssze 990 forint\u00e9rt m\u00e9lyedjen el a Data Science vil\u00e1g\u00e1ba: ismerkedjen meg a specializ\u00e1ci\u00f3kkal, v\u00e1lasszon szakm\u00e1t, \u00e9s fejlessze k\u00e9szs\u00e9geit az adatokkal val\u00f3 munk\u00e1ban.\u00a0<\/p>\n<p>A Data Science az adatokkal \u00e9s azok elemz\u00e9s\u00e9vel foglalkoz\u00f3 tudom\u00e1ny. Sokan azt gondolj\u00e1k, hogy a ter\u00fcletre l\u00e9pni nagyon neh\u00e9z: unalmas, hosszadalmas \u00e9s fizikomate k\u00e9pz\u00e9s sz\u00fcks\u00e9ges. De ez nem igaz \u2014 b\u00e1rki megtal\u00e1lhatja a sz\u00e1m\u00e1ra megfelel\u0151 szakm\u00e1t, vagy fejlesztheti bizonyos k\u00e9szs\u00e9geit az adatokkal val\u00f3 munk\u00e1ban.<\/p>\n<p>Tanfolyam \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\">Start in Data Science<\/a><\/noindex>A kurzus c\u00e9lja, hogy lehet\u0151s\u00e9get adjon annak, aki keres egy keresett \u00e9s j\u00f3l fizet\u0151 szakm\u00e1t, de nem tudja, melyik ir\u00e1nyt v\u00e1lassza, hol tanuljon \u00e9s hogyan fejl\u0151dj\u00f6n a ter\u00fcleten. Ezenk\u00edv\u00fcl a kurzus hasznos lesz mindazok sz\u00e1m\u00e1ra, akik munk\u00e1juk sor\u00e1n \u00e9rintkeznek a Big Data-val, g\u00e9pi tanul\u00e1ssal, adat-elemz\u00e9ssel, vagy egyszer\u0171en csak \u00e9rdekl\u0151dnek a t\u00e9ma ir\u00e1nt.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Meg fogja ismerni<\/h2>\n<p><\/p>\n<ul>\n<li>mi az a Data Science;<\/li>\n<li>milyen ir\u00e1nyok \u00e9s szakm\u00e1k l\u00e9teznek;<\/li>\n<li>cell\u00e1k \u00e9s sz\u00e1m\u00edt\u00e1sok formul\u00e1k n\u00e9lk\u00fcli form\u00e1z\u00e1s\u00e1nak tr\u00fckkjeit;<\/li>\n<li>hogyan rejtheti el a fontos inform\u00e1ci\u00f3kat;<\/li>\n<li>adatok \u00e1tvitel\u00e9nek technik\u00e1it egy t\u00e1bl\u00e1zatb\u00f3l a m\u00e1sikba;<\/li>\n<li>mely Python k\u00f6nyvt\u00e1rak \u00e1llnak rendelkez\u00e9sre az adatelemz\u00e9shez;<\/li>\n<li>hol \u00e9s mire haszn\u00e1lj\u00e1k az SQL-t, milyen feladatokat oldhat meg, \u00e9s milyen elemz\u0151 funkci\u00f3i vannak.<\/li>\n<\/ul>\n<p><\/p>\n<h2>Meg fog tanulni<\/h2>\n<p><\/p>\n<ul>\n<li>sz\u00e9p interakt\u00edv jelent\u00e9seket k\u00e9sz\u00edteni Power BI-ban programoz\u00e1s n\u00e9lk\u00fcl;<\/li>\n<li>alkalmazni az adatokkal vez\u00e9relt gondolkod\u00e1st a munk\u00e1j\u00e1ban;<\/li>\n<li>kezelni a Big Data-t: gy\u0171jteni, t\u00e1rolni, \u00e9rt\u00e9kelni a min\u0151s\u00e9get, megv\u00e9deni, sk\u00e1l\u00e1zni \u00e9s \u00e1talak\u00edtani;<\/li>\n<li>egyszer\u0171 k\u00f3dot \u00edrni.\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<h2>Tan\u00e1rok<\/h2>\n<p>\n<b>Jelena Geraszimova<\/b>, a Data Science programok vezet\u0151je a Netology-n\u00e1l.<\/p>\n<p><b>Darya Mukhina<\/b>, term\u00e9k-elemz\u0151 a Skyeng-n\u00e9l.\u00a0<\/p>\n<p><b>Alekszej Csernobrovov<\/b>, fejleszt\u00e9si tan\u00e1csad\u00f3 a Pult.ru, Mazda, Skyeng c\u00e9gekn\u00e9l.<\/p>\n<p><b>Pavel Kozlov<\/b>, a Microsoft CIE projekt tr\u00e9ner.<\/p>\n<p><b>Dmitrij Jakusev<\/b>, tr\u00e9ner \u00e9s k\u00e9pz\u00e9sfejleszt\u0151 az Excel Akad\u00e9mi\u00e1n.<\/p>\n<p><b>Alekszej Kuzmin<\/b>, a DomClick fejleszt\u00e9si igazgat\u00f3ja.\u00a0<\/p>\n<h2>\u00c1r<\/h2>\n<p>\n<b>A kurzus \u00e1ra:<\/b> mind\u00f6ssze 990 forint. Ha folytatja tanulm\u00e1nyait a Netology-n\u00e1l, az \u00f6sszeg kedvezm\u00e9nyk\u00e9nt ker\u00fcl besz\u00e1m\u00edt\u00e1sra m\u00e1s Data Science kurzusok v\u00e1s\u00e1rl\u00e1sakor.<br \/>\n<br \/>Forr\u00e1s: <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 5.0.3 - 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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