{"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\/et\/blog\/news\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","title":{"rendered":"Kursus \u201eAlgus Data Science' s\u201d: esimene samm andmete t\u00f6\u00f6tlemises","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>K\u00e4ivitame uue kursuse algajatele \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\">Algus Data Science<\/a><\/noindex>\u201d. K\u00f5igest 990 rubla eest sukeldute Data Science'i: saate \u00fclevaate spetsialiteetidest, valite ametinimetuse ja arendate andmet\u00f6\u00f6tlusoskusi.\u00a0<\/p>\n<p>Data Science on andmete teadus ja nende anal\u00fc\u00fcs. Paljud arvavad, et valdkonda sisenemine on v\u00e4ga keeruline: igav, pikk ja vajalik on f\u00fc\u00fcsika-matemaatika haridus. Kuid see pole t\u00f5si \u2014 iga\u00fcks v\u00f5ib leida endale sobiva ametinimetuse v\u00f5i arendada teatud andmet\u00f6\u00f6tlusoskusi.<\/p>\n<p>Kursus \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\">Algus Data Science<\/a><\/noindex>\u201e on suunatud neile, kes soovivad omandada n\u00f5utud ja k\u00f5rgelt tasustatud ametinimetuse, kuid ei tea, millist suunda valida, kus \u00f5ppida ja kuidas valdkonnas edasi liikuda. Samuti sobib see k\u00f5igile, kelle t\u00f6\u00f6 puutub kokku Big Data, masin\u00f5ppe, andmete anal\u00fc\u00fcsiga v\u00f5i kes lihtsalt huvituvad sellest temast.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Saate teada<\/h2>\n<p><\/p>\n<ul>\n<li>mis on Data Science;<\/li>\n<li>millised suunad ja ametid eksisteerivad;<\/li>\n<li>nt n\u00e4pun\u00e4iteid lahtrite ja arvutuste vormindamiseks ilma valemiteta;<\/li>\n<li>kuidas varjata olulist teavet;<\/li>\n<li>andmete asendamise tehnikad \u00fchest tabelist teise;<\/li>\n<li>millised Python raamatukogud on andmete anal\u00fc\u00fcsimiseks;<\/li>\n<li>kus ja milleks kasutatakse SQL-i, milliseid \u00fclesandeid saab lahendada ja millised anal\u00fc\u00fctilised funktsioonid on olemas.<\/li>\n<\/ul>\n<p><\/p>\n<h2>\u00d5pite<\/h2>\n<p><\/p>\n<ul>\n<li>koostama ilusaid interaktiivseid aruandeid Power BI-s ilma programmeerimiseta;<\/li>\n<li>rakendama andme-p\u00f5hist m\u00f5tlemist oma t\u00f6\u00f6s;<\/li>\n<li>haldur Big Data: koguma, salvestama, hindama kvaliteeti, kaitsma, laiendama ja transformeerima;<\/li>\n<li>kirjutama lihtsat koodi.\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<h2>Kursuse \u00f5petajad<\/h2>\n<p>\n<b>Elena Gerasimova<\/b>, Data Science programmide juht Netologyas.<\/p>\n<p><b>Darya Mukhina<\/b>, tootmisanal\u00fc\u00fctik Skyengis.\u00a0<\/p>\n<p><b>Aleksei Chernobrovov<\/b>, arengukonsultant Pult.ru, Mazda, Skyeng.<\/p>\n<p><b>Pavel Kozlov<\/b>, Microsofti projekti CIE treener.<\/p>\n<p><b>Dmitri Yakushev<\/b>, koolituste arendaja Exceli Akadeemias.<\/p>\n<p><b>Aleksei Kuzmin<\/b>, arenduse direktor DomKlikis.\u00a0<\/p>\n<h2>Hind<\/h2>\n<p>\n<b>Kursuse hind:<\/b> k\u00f5igest 990 rubla. Kui j\u00e4tkate \u00f5ppimist Netologyas, arvestatakse summa allahindlusena teiste Data Science'i kursuste ostmisel.<br \/>\n<br \/>Allikas: <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 5.0.1.1 - 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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