{"id":169774,"date":"2019-11-12T14:27:43","date_gmt":"2019-11-12T08:57:43","guid":{"rendered":"https:\/\/www.digitalvidya.com\/?post_type=guide&#038;p=169774"},"modified":"2024-08-28T10:10:14","modified_gmt":"2024-08-28T04:40:14","slug":"the-journey-of-a-data-scientist","status":"publish","type":"guide","link":"https:\/\/www.digitalvidya.com\/guide\/the-journey-of-a-data-scientist\/","title":{"rendered":"The Journey of a Data Scientist"},"content":{"rendered":"<style>\n.span3 img {width: 95%;}\n<\/style>\n<p>In times when Data is increasing, the need to analyse this data to derive meaningful inferences has become very important. That\u2019s exactly why Data Science &amp; Analytics is growing as a highly in-demand job profile. Forbes called it the \u201cSexiest Job of the 21st Century\u201d. And according to the Hindu Business Line, a total of 97000 job vacancies remain open in this field.<\/p>\n<p>Learning Data Science can be complex and overwhelming. Multiple programming languages, different pathways to learning the science and complex job profiles make it difficult for a beginner to start the journey to Data Science mastery.<\/p>\n<p>To make it all simple and give you a headstart, we have created an e-book on \u201cThe Journey of a Data Scientist.\u201d It talks about the best way to Master Data Science &amp; Analytics and broadly speaks about other dimensions of the industry such as skills required, job profiles, salaries offered, career path and the industry overview.<\/p>\n<p>It is a perfect place to get an estimate on where and how to get started with learning Data Science.<\/p>\n<p>This e-book covers the following topics:<\/p>\n<ul>\n<li style=\"list-style-type: disc;\">What is Data Science<\/li>\n<li style=\"list-style-type: disc;\">Growth of Data Science Industry<\/li>\n<li style=\"list-style-type: disc;\">Roles, Job Prospects, and Salaries in Data Science<\/li>\n<li style=\"list-style-type: disc;\">Difference between Data Science, Machine Learning, Deep Learning &amp; Artificial Intelligence<\/li>\n<li style=\"list-style-type: disc;\">Skills Required for Critical Job Functions\u00a0<\/li>\n<li style=\"list-style-type: disc;\">Why Should You Learn Data Science?\u00a0<\/li>\n<li style=\"list-style-type: disc;\">Career Path of a Data Scientist\u00a0<\/li>\n<li style=\"list-style-type: disc;\">Courses to Get Started with Learning Data Science<\/li>\n<\/ul>\n","protected":false},"featured_media":173940,"menu_order":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-169774","guide","type-guide","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.digitalvidya.com\/wp-json\/wp\/v2\/guide\/169774","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.digitalvidya.com\/wp-json\/wp\/v2\/guide"}],"about":[{"href":"https:\/\/www.digitalvidya.com\/wp-json\/wp\/v2\/types\/guide"}],"version-history":[{"count":0,"href":"https:\/\/www.digitalvidya.com\/wp-json\/wp\/v2\/guide\/169774\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.digitalvidya.com\/wp-json\/wp\/v2\/media\/173940"}],"wp:attachment":[{"href":"https:\/\/www.digitalvidya.com\/wp-json\/wp\/v2\/media?parent=169774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}