{"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\/en\/blog\/news\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","title":{"rendered":"Course \"Start in Data Science\": the first step in working with data","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>We are launching a new beginner course \u2014 \"<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>\". For just 990 rubles, you will dive into Data Science: learn about specializations, choose a profession, and enhance your skills in data work.\u00a0<\/p>\n<p>Data Science is the science of data and its analysis. Many believe that entering this field is very difficult: tedious, long, and requires a background in physics and mathematics. But that\u2019s not the case \u2014 anyone can find a profession that suits them or improve specific skills in data work.<\/p>\n<p>Course \u201c<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>This course is designed for those who want to gain a sought-after and high-paying profession but do not know which direction to choose, where to study, and how to advance in the field. Furthermore, it will be suitable for anyone who works with Big Data, machine learning, data analytics, or is simply interested in this topic.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>You will learn<\/h2>\n<p><\/p>\n<ul>\n<li>what Data Science is;<\/li>\n<li>which fields and professions exist;<\/li>\n<li>life hacks for cell formatting and calculations without formulas;<\/li>\n<li>how to hide important information;<\/li>\n<li>techniques for substituting data from one table to another;<\/li>\n<li>which Python libraries exist for data analysis;<\/li>\n<li>where and why SQL is used, what tasks it can solve, and what analytical functions it has.<\/li>\n<\/ul>\n<p><\/p>\n<h2>You will master<\/h2>\n<p><\/p>\n<ul>\n<li>creating beautiful interactive reports in Power BI without programming;<\/li>\n<li>applying data-driven thinking in your work;<\/li>\n<li>managing Big Data: collecting, storing, assessing quality, securing, scaling, and transforming;<\/li>\n<li>writing simple code.\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<h2>Instructors<\/h2>\n<p>\n<b>Elena Gerasimova<\/b>, head of Data Science programs at Netology.<\/p>\n<p><b>Daria Mukhina<\/b>, product analyst at Skyeng.\u00a0<\/p>\n<p><b>Alexey Chernobrovov<\/b>, development consultant at Pult.ru, Mazda, Skyeng.<\/p>\n<p><b>Pavel Kozlov<\/b>, project trainer of Microsoft CIE.<\/p>\n<p><b>Dmitry Yakushev<\/b>, trainer and course developer at the Excel Academy.<\/p>\n<p><b>Alexey Kuzmin<\/b>, development director at DomClick.\u00a0<\/p>\n<h2>Price<\/h2>\n<p>\n<b>Course price:<\/b> only 990 rubles. If you continue your studies at Netology, this amount will be credited as a discount when purchasing other Data Science courses.<br \/>\n<br \/>Source: <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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