{"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\/novosti-interneta\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","title":{"rendered":"Kursus \u201eAlgus Data Science'iga\u201c: esimene samm andmete t\u00f6\u00f6tlemises","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Me k\u00e4ivitame uue kursuse algajatele \u2014 \u00ab<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\">Alustamine Data Science'is<\/a><\/noindex>\u00bb. Ainult 990 rubla eest sukeldute te Data Science'i: saate tuttavaks spetsialiseerumistega, valite elukutse ja arendate andmet\u00f6\u00f6tluse oskusi.\u00a0<\/p>\n<p>Data Science on andmete ja nende anal\u00fc\u00fcsi teadus. Paljud arvavad, et selle valdkonna sisenemine on v\u00e4ga keeruline: igav, pikk ja vajalik on f\u00fc\u00fcsika-matemaatika haridus. Kuid see ei ole nii \u2014 iga\u00fcks v\u00f5ib leida endale sobiva elukutse v\u00f5i arendada konkreetseid oskusi andmetega t\u00f6\u00f6tamisel.<\/p>\n<p>Kursus \u00ab<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\">Alustamine Data Science'is<\/a><\/noindex>\u00bb on m\u00f5eldud neile, kes soovivad omandada n\u00f5utud ja h\u00e4sti tasustatud elukutse, kuid ei tea, millist suunda valida, kus \u00f5ppida ja kuidas valdkonnas edeneda. Samuti sobib see k\u00f5igile, kes oma t\u00f6\u00f6s puutuvad kokku Big Data, masin\u00f5ppe, andmeanal\u00fc\u00fcsiga v\u00f5i lihtsalt huvituvad sellest teema.<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>milliseid suundi ja elukutseid eksisteerib;<\/li>\n<li>t\u00f6\u00f6liste lahenduste vormindamise ja arvutuste nippe ilma valemiteta;<\/li>\n<li>kuidas peita olulist teavet;<\/li>\n<li>andmete sisestamise tehnikad \u00fchest tabelist teise;<\/li>\n<li>milliseid Python'i teeke kasutatakse andmete anal\u00fc\u00fcsimiseks;<\/li>\n<li>kus ja milleks SQL-i kasutatakse, milliseid \u00fclesandeid see lahendab ja milliseid anal\u00fc\u00fctilisi funktsioone see sisaldab.<\/li>\n<\/ul>\n<p><\/p>\n<h2>Te \u00f5pite<\/h2>\n<p><\/p>\n<ul>\n<li>loodud interaktiivsete raportite koostamine Power BI-s ilma programmeerimiseta;<\/li>\n<li>rakendage andmep\u00f5hist m\u00f5tlemist oma t\u00f6\u00f6s;<\/li>\n<li>suuri Big Data: koguda, salvestada, hinnata kvaliteeti, kaitsta, skaleerida ja muundada;<\/li>\n<li>kirjutada lihtsat koodi.\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<h2>\u00d5petajad<\/h2>\n<p>\n<b>Elena Gerasimova<\/b>, Data Science'i programmide juht Nettolest.<\/p>\n<p><b>Darya Mukhina<\/b>, tooteanal\u00fc\u00fctik Skyengis.\u00a0<\/p>\n<p><b>Aleksey Chernobrovov<\/b>, arendusn\u00f5ustaja Pult.ru, Mazda, Skyeng.<\/p>\n<p><b>Pavel Kozlov<\/b>, Microsofti CIE projekti treener.<\/p>\n<p><b>Dmitry Yakushev<\/b>, treener ja \u00f5pikute arendaja Exceli Akadeemias.<\/p>\n<p><b>Aleksey Kuzmin<\/b>, arenduse direktor Domklikis.\u00a0<\/p>\n<h2>Hind<\/h2>\n<p>\n<b>Kursuse hind:<\/b> kokku 990 rubla. Kui j\u00e4tkate \u00f5pinguid Nettolest, siis summa arvestatakse all discounts muude kursuste ostmisel Data Science'i valdkonnas.<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-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - 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