{"id":7321,"date":"2019-05-06T14:31:10","date_gmt":"2019-05-06T21:31:10","guid":{"rendered":"https:\/\/www.springboard.com\/?p=7321"},"modified":"2022-08-29T03:12:46","modified_gmt":"2022-08-29T10:12:46","slug":"data-science-career-track-prep-course","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/news\/data-science-career-track-prep-course\/","title":{"rendered":"Introducing the Data Science Career Track Prep Course"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Take the First Step Toward a New Career With Springboard&#8217;s Data Science Career Track Prep Course<\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">Our Data Science Career Track course is an intensive, six-month program designed to prepare you for a data science career and <\/span><b>guaranteed to get you a job<\/b><span style=\"font-weight: 400;\">\u2014<\/span><span style=\"font-weight: 400;\">or you\u2019ll get your money back. <\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">One of the reasons we\u2019re able to make that job guarantee\u2014and why we have <\/span><a href=\"https:\/\/www.springboard.com\/outcomes\/\" target=\"_blank\" data-type=\"URL\" data-id=\"https:\/\/www.springboard.com\/outcomes\/\" rel=\"noreferrer noopener\"><span style=\"font-weight: 400;\">yet to issue a refund<\/span><\/a><span style=\"font-weight: 400;\">\u2014is because we carefully screen all applicants, who must pass a technical challenge to enroll. <\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">While we welcome learners from all professional and academic backgrounds, the curriculum was designed for people with prior experience in statistics and programming, such as software developers, analysts, and finance professionals.<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">We do this because we want to set our students up for success. <\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">But we\u2019ve heard from many aspiring data scientists who aren\u2019t <\/span><i><span style=\"font-weight: 400;\">quite<\/span><\/i><span style=\"font-weight: 400;\"> ready for the Data Science Career Track, but who could be if they just had a refresher in fundamental coding and statistics skills. <\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">That\u2019s why <\/span><b>we\u2019re launching a new prep course<\/b><span style=\"font-weight: 400;\"> designed to teach those data science go-getters everything they need to know to pass the Data Science Career Track admissions test and excel in the full course.<\/span><\/p>\n\n\n\n<p><b>Here\u2019s what you can expect:<\/b><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><span style=\"font-weight: 400;\">An online, self-paced curriculum that takes 4-6 weeks to complete<\/span><\/li><li><span style=\"font-weight: 400;\">Regular one-on-one calls with your mentor, a data science expert<\/span><\/li><li><span style=\"font-weight: 400;\">50+ hours of hands-on learning material created by data science and Python experts<\/span><\/li><li><span style=\"font-weight: 400;\">Access to weekly data science office hours and our global student community<\/span><\/li><\/ul>\n\n\n\n<p><span style=\"font-weight: 400;\">Additionally, you\u2019ll receive preferential <a href=\"https:\/\/www.springboard.com\/courses\/data-science-career-track\/\" data-type=\"URL\" data-id=\"https:\/\/www.springboard.com\/courses\/data-science-career-track\/\">Data Science Career Track<\/a> application review and admissions fast-tracking upon course completion. And your prep course tuition can be applied directly toward the Data Science Career Track.<\/span><\/p>\n\n\n\n\n\n<p><b>This prep course is for you if:<\/b><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You\u2019re committed to changing careers, but need an introduction to or a refresher in the Python or statistics skills needed to succeed in the Data Science Career Track<\/span><\/li><li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You want to test the Springboard learning model before committing to a longer course<\/span><\/li><\/ul>\n\n\n\n<p><span style=\"font-weight: 400;\">Note: No prior coding experience is required, but to be successful, we recommend that students already be proficient in high school-level mathematics with an openness to learning more advanced concepts.<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Our mission is to help as many people as possible achieve their career goals through high-quality, accessible education. We believe this prep course is another step toward helping more aspiring data scientists find professional fulfillment.<\/span><\/p>\n\n\n\n<p class=\"rm has-background\" style=\"background-color:#efeff6\"><strong>Since you\u2019re here\u2026<br><\/strong>Curious about a career in data science? Experiment with our <a rel=\"noreferrer noopener\" href=\"https:\/\/www.springboard.com\/resources\/guides\/data-science-process\/\" target=\"_blank\">free data science learning path<\/a>, or join our <a rel=\"noreferrer noopener\" href=\"https:\/\/www.springboard.com\/courses\/data-science-career-track\/\" target=\"_blank\">Data Science Bootcamp<\/a>, where you\u2019ll get your tuition back if you don&#8217;t land a job after graduating. We\u2019re confident because our courses work \u2013 check out our <a rel=\"noreferrer noopener\" href=\"https:\/\/www.springboard.com\/success\/\" target=\"_blank\">student success stories<\/a> to get inspired.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Take the First Step Toward a New Career With Springboard&#8217;s Data Science Career Track Prep Course Our Data Science Career Track course is an intensive, six-month program designed to prepare you for a data science career and guaranteed to get you a job\u2014or you\u2019ll get your money back. One of the reasons we\u2019re able to [&hellip;]<\/p>\n","protected":false},"author":40,"featured_media":7343,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","_eb_data_table":"","footnotes":""},"categories":[122],"tags":[],"marketing_tags":[],"class_list":{"0":"post-7321","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-news"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/7321"}],"collection":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/users\/40"}],"replies":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/comments?post=7321"}],"version-history":[{"count":3,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/7321\/revisions"}],"predecessor-version":[{"id":30279,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/7321\/revisions\/30279"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media\/7343"}],"wp:attachment":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media?parent=7321"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/categories?post=7321"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/tags?post=7321"},{"taxonomy":"marketing_tags","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/marketing_tags?post=7321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}