{"id":31279,"date":"2021-05-25T18:46:11","date_gmt":"2021-05-26T01:46:11","guid":{"rendered":"https:\/\/careerkarma.com\/blog\/?p=31279"},"modified":"2021-10-16T01:29:53","modified_gmt":"2021-10-16T08:29:53","slug":"dataquest-deep-dive","status":"publish","type":"post","link":"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/","title":{"rendered":"Why Choose Dataquest? Boost Your Data Skills  for Careers of Tomorrow"},"content":{"rendered":"\n<p>In 2012, the year when data scientists became the talk of the town, the New York Times published an article that <a href=\"https:\/\/www.nytimes.com\/2012\/02\/19\/magazine\/shopping-habits.html?pagewanted=1&amp;_r=1&amp;hp\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">highlighted the power of data science<\/a>. It\u2019s something that has made the rounds in the industry, and it started like any other interesting story:<br><br>A man walks into Target and asks for the manager.<br><br>The man, seething, holds on to several coupons mailed by the store to his teenage daughter and demands an explanation. Caught unaware, the manager takes a closer look at the coupons and sees advertisements for maternity clothes and baby furniture. Flustered, the manager quickly apologizes to the father.<br><br>Days later, the manager calls the man to, once again, express his regret over the seeming blunder. Instead of being met with anger, however, the man replies in embarrassment: \u201cI had a talk with my daughter&#8230;It turns out there [have] been some activities in my house I haven\u2019t been completely aware of. She\u2019s due in August. I owe you an apology.\u201d<\/p>\n\n\n\n<p>Although this may seem like something straight out of a marketing campaign, it\u2019s actually a true story. It turns out Target\u2019s data analyst team at the time observed that women in their second trimester of pregnancy tended to buy more unscented lotion than other customers.&nbsp;<\/p>\n\n\n\n<p>By gathering data on each shopper\u2019s purchasing habits, the team was able to come up with a pregnancy-prediction model that, as the name implies, can guess who\u2019s expecting and who\u2019s not. The store then sends ads that are targeted at expecting moms. One of them was the daughter in question.&nbsp;<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-69de5a735f947\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69de5a735f947\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/#why-learn-data-science\" >Why Learn Data Science?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/#inside-dataquest-whats-in-it-for-me\" >Inside Dataquest: What\u2019s In It For Me?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/#how-dataquest-began\" >How Dataquest Began<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/#who-is-dataquest-for\" >Who Is Dataquest For?&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/#what-can-you-learn-from-dataquest\" >What Can You Learn from Dataquest?&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/#a-risk-free-start-to-data-science-training\" >A Risk-Free Start to Data Science Training&nbsp;<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/#bringing-data-science-to-the-masses\" >Bringing Data Science to the Masses<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"h-why-learn-data-science\"><span class=\"ez-toc-section\" id=\"why-learn-data-science\"><\/span>Why Learn Data Science?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In recent years, data science has gone from geek to chic. It isn\u2019t surprising why.<\/p>\n\n\n\n<p>While the story above happened nearly a decade ago, it remains a perfect example of why, to this day, there\u2019s still a war for data science talents. <\/p>\n\n\n\n<p>From analyzing consumer needs to driving marketing strategies, data scientists serve as key players for the success of organizations.&nbsp;At a time when data is the world\u2019s most valuable commodity, professionals who can unlock its value are critical.&nbsp;The problem is that the demand for data scientists has far outpaced the available supply. <\/p>\n\n\n\n<p>According to industry platform Quanthub, the 2020 job market faced a shortfall of around <a href=\"https:\/\/quanthub.com\/data-scientist-shortage-2020\/\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">250,000 data science professionals<\/a>, and it\u2019s expected to grow in coming years. Striving to fill this gap are several training resources created to democratize and demystify data science.<\/p>\n\n\n\n<p>Among these is <a href=\"https:\/\/www.dataquest.io\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Dataquest<\/a>, a data skills learning platform designed to bring today\u2019s hottest job title to anyone looking to jump into the data science world for as low as $0.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-inside-dataquest-what-s-in-it-for-me\"><span class=\"ez-toc-section\" id=\"inside-dataquest-whats-in-it-for-me\"><\/span>Inside Dataquest: What\u2019s In It For Me?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>If there\u2019s a simple definition of a data scientist, it would be this: a data scientist is someone who spends the day solving problems with data. <\/p>\n\n\n\n<p>Just like a proper scientist, a data science professional follows a certain process: they assess a problem, devise a solution to the problem, and then use the available tools and strategies to best deliver the solution.<\/p>\n\n\n\n<p>It was the same process that led self-taught data scientist Vik Paruchuri to Dataquest.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-how-dataquest-began\"><span class=\"ez-toc-section\" id=\"how-dataquest-began\"><\/span>How Dataquest Began<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>The story starts with a problem. The problem was this: Vik Paruchuri started as a chronic job-hopper, switching from job to job with the hope of finding something that would spark his interest. After years of doing so, he found his passion in data science. To enter the field, however, he needed to get some training.<\/p>\n\n\n\n<p>This put him in a dilemma. He can either go back to college and earn another degree\u2014this time in data science\u2014or go the opposite way and teach himself the ins and outs of data science. Because Vik had previously found the public education model \u201cboring and de-motivating\u201d, he opted for the latter path.<br><br>And although he eventually succeeded, he knew that there had to be a better way to make data science training more accessible yet affordable, and more flexible yet structured.<\/p>\n\n\n\n<p>Enter, the solution: two years after his first job as a machine learning engineer, Vik slowly built a platform that met both formal and self-paced learning models at their halfway point. In 2015, Vik founded Dataquest.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-who-is-dataquest-for\"><span class=\"ez-toc-section\" id=\"who-is-dataquest-for\"><\/span>Who Is Dataquest For?&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Dataquest, as the name implies, is for individuals who are on a quest to equip themselves with data-related skills and knowledge. Put simply, it\u2019s a skills training platform for data learners. These include the following:&nbsp;<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Data professionals who are seeking to grow or finetune their skill sets&nbsp;<\/li><li>Professionals whose roles involve working with data<\/li><li>People who are interested in learning data science whether out of curiosity or personal learning interests<\/li><\/ol>\n\n\n\n<p>Because it\u2019s designed for a wide range of learners, Dataquest likewise offers a multitude of learning options.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-what-can-you-learn-from-dataquest\"><span class=\"ez-toc-section\" id=\"what-can-you-learn-from-dataquest\"><\/span>What Can You Learn from Dataquest?&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Depending on which group of data learners you identify with, you can choose the Dataquest Career Paths or the Skills Paths. Both tracks are fully online and comprise a catalog of courses designed to equip you with the depth of knowledge that you need to reach your data-learning goal.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-career-paths\">Career Paths<\/h4>\n\n\n\n<p>The Dataquest Career Paths train two groups. First, they\u2019re designed for data professionals who wish to refresh their skills. Second, they prepare beginners who wish to secure one of three career outcomes: data analyst, data scientist, and data engineer.<br><br>Because the programs also cater to the uninitiated, the content is structured to dive deep into the fundamentals of the corresponding fields and help you secure a relevant entry-level role in the industry.<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/www.dataquest.io\/path\/data-analyst-r\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\"><strong>Data Analyst in R<\/strong><\/a><strong>. <\/strong>Because it\u2019s specially built for statistical computing, R is fast becoming the lingua franca of data analysts. Covering 20 courses, this program explores how to use R to clean, visualize, analyze, summarize, and report data to derive powerful insights. You\u2019ll also navigate modern R workflows with RStudio and Tidyverse packages and learn how to use tools like Git and SQL databases.<br><\/li><li><a href=\"https:\/\/www.dataquest.io\/path\/data-analyst\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\"><strong>Data Analyst in Python<\/strong><\/a><strong>. <\/strong>Python has a strong reputation for being the preferred language for data analysts and data scientists alike, for good reason. Python emphasizes data mining, processing, and visualization, all of which comprise the majority of the data analysis life cycle. Take this program to learn how to effectively use Python to analyze and visualize data.<br><\/li><li><a href=\"https:\/\/www.dataquest.io\/path\/data-scientist\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\"><strong>Data Scientist in Python<\/strong><\/a><strong>.<\/strong> You\u2019ll be hard-pressed to find a data scientist who isn\u2019t familiar with Python. Learn to use Python and its libraries to complete an end-to-end data science project cycle. Because data science is a step further from data analysis, this program consists of 31 courses that cover end-to-end data analysis before diving deeper into data science.&nbsp;<br><\/li><li><a href=\"https:\/\/www.dataquest.io\/path\/data-engineer\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\"><strong>Data Engineer<\/strong><\/a><strong>. <\/strong>Dubbed the next sexiest job of the century, data engineers ranked eighth in <a href=\"https:\/\/business.linkedin.com\/content\/dam\/me\/business\/en-us\/talent-solutions\/emerging-jobs-report\/Emerging_Jobs_Report_U.S._FINAL.pdf\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">LinkedIn\u2019s Emerging Jobs Report.<\/a> While data scientists make it their business to make data useful, data engineers build the pipelines that data scientists rely on. Therefore, they focus on another thing entirely: to make data usable. Take this program to skill up on Python programming, SQL databases, and data pipeline-building.&nbsp;<\/li><\/ol>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-skills-paths\">Skills Paths<\/h4>\n\n\n\n<p>The Dataquest Skills Paths have data professionals in mind. The programs are skills-focused and are shorter than the Career Paths. This allows learners with an intermediate understanding of data analysis to quickly upskill and expand their skill set. Dataquest currently offers 11 skills paths. Let\u2019s cover some of them below.&nbsp;<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>Machine Learning. <\/strong>If you want to further your career, acquiring machine learning skills is the way to go. Take it from tech heavyweights like Google, Facebook, and IBM, all of which are pouring money into the development of AI and machine learning. Therefore, it\u2019s not surprising why the demand for AI and machine learning specialists is high, even topping LinkedIn\u2019s Emerging Jobs Report. Take Dataquest\u2019s <a href=\"https:\/\/www.dataquest.io\/path\/machine-learning-intro-with-python\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Machine Learning Introduction with Python<\/a> and supplement it with the <a href=\"https:\/\/www.dataquest.io\/path\/machine-learning-intermediate-with-python\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Machine Learning Intermediate with Python program<\/a> to solidify your skillset.&nbsp;<br><\/li><li><strong>Data Analysis and Visualization. <\/strong>Both Python and R are well-equipped with graphing libraries that provide high-level interfaces for data visualizations. So, Dataquest designed two Skills Paths for both tools. Depending on the skill you want to improve, you can either take Dataquest\u2019s <a href=\"https:\/\/www.dataquest.io\/path\/data-visualization-with-r\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Data Visualization with R<\/a><strong> <\/strong>or opt for the <a href=\"https:\/\/www.dataquest.io\/path\/data-analysis-and-visualization-with-python\/\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Data Analysis and Visualization with Python program<\/a>.<br><\/li><li><strong>APIs and Web Scraping. <\/strong>Aggregate all sorts of data without getting blocked by learning about APIs and web scraping. Dataquest offers two paths for those who wish to master these data extraction techniques. Choose from either of these programs: <a href=\"https:\/\/www.dataquest.io\/path\/apis-and-web-scraping-with-r\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">APIs and Web Scraping with R<\/a> and <a href=\"https:\/\/www.dataquest.io\/path\/apis-and-web-scraping-with-python\/\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">APIs and Web Scraping with Python<\/a>.<br><\/li><li><strong>Probability and Statistics.<\/strong> Before there was data science and machine learning, we had probability and statistics. The latter serves as the basis for the former. Strengthen your foundations by taking either or both of Dataquest\u2019s programs: <a href=\"https:\/\/www.dataquest.io\/path\/probability-and-statistics-with-python\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Probability and Statistics with Python<\/a> and <a href=\"https:\/\/www.dataquest.io\/path\/probability-and-statistics-with-r\/\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Probability and Statistics with R<\/a>.&nbsp;&nbsp;<\/li><\/ol>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-the-guided-projects\">The Guided Projects<\/h4>\n\n\n\n<p>Having technical knowledge is the minimum requirement to become a data scientist. Take your learning further by gaining practical skills with <a href=\"https:\/\/www.dataquest.io\/data-science-projects?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Dataquest\u2019s guided data science projects<\/a>. These projects get you working on real-world data science problems to stimulate your problem-solving and research skills.&nbsp;<\/p>\n\n\n\n<p>As you progress, the challenges will increase in difficulty and decrease in guidance. You\u2019re encouraged to create a Github repository where you can showcase your projects and demonstrate your skills to potential employers. <\/p>\n\n\n\n<p>Below is a sneak peek of some of Dataquest\u2019s exciting guided projects.<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/www.dataquest.io\/m\/146-guided-project-visualizing-earnings-based-on-college-majors\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\"><strong>Visualizing Earnings Based on College Majors<\/strong><\/a><strong>. <\/strong>Analyze the success of students who graduated from college between 2010 and 2012 using the Jupyter notebook and pandas.<br><\/li><li><a href=\"https:\/\/www.dataquest.io\/m\/177-guided-project-analyzing-stock-prices\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\"><strong>Analyzing Stock Prices<\/strong><\/a><strong>. <\/strong>As day trading gains popularity day by day, the ability to analyze stock prices for smarter investment is becoming more important. Experience working with stock data here.<br><\/li><li><a href=\"https:\/\/www.dataquest.io\/m\/201-guided-project-star-wars-survey\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\"><strong>Star Wars Survey<\/strong><\/a><strong>. <\/strong>See which Star Wars movies received the best and worst response from movie-goers. By the end of the project, you\u2019ll have practiced cleaning and mapping values in pandas and computing summary statistics.<\/li><\/ol>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-a-risk-free-start-to-data-science-training\"><span class=\"ez-toc-section\" id=\"a-risk-free-start-to-data-science-training\"><\/span>A Risk-Free Start to Data Science Training&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Dataquest comes with two <a href=\"https:\/\/www.dataquest.io\/subscribe\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">subscription plans<\/a>, and herein lies one of Dataquest\u2019s most appealing features. Aside from having a comprehensive portfolio of data-centric programs to hone your skills, you can also start your training for free.<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>Free Plan.<\/strong> When presented with many options, it\u2019s best to follow the golden rule: free options first, paid options later. Dataquest does not skimp on training resources. True to its goal of bringing data science to the masses, Dataquest offers data learners the chance to access some of its interactive courses without having to pay out of pocket. These include hundreds of practice problems and exclusive offers for free course launches.<br><\/li><li><strong>Premium Subscription. <\/strong>If you\u2019re ready to commit to more structured learning, then you can opt for the premium subscription. Depending on your resources, you can either choose to pay $49 per month or $399 per year (heads up, the annual plan saves you $189 a year). Both plans will grant you access to the complete Dataquest course catalog and over 30 guided projects. You\u2019ll also benefit from premium community features and career services.&nbsp;<\/li><\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-bringing-data-science-to-the-masses\"><span class=\"ez-toc-section\" id=\"bringing-data-science-to-the-masses\"><\/span>Bringing Data Science to the Masses<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Based on <a href=\"https:\/\/www.dataquest.io\/blog\/dataquest-reviews-2020\/?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">Dataquest\u2019s 2020 Student Outcomes Report<\/a>, of the 656 Dataquest learners surveyed, 97 percent recommended Dataquest for career advancement. <\/p>\n\n\n\n<p>Of them, 90 percent transitioned to data-centric roles, reporting an average annual salary increase of $30,000. Dataquest\u2019s learning paths received the most praise, followed by its guided projects.<\/p>\n\n\n\n<p>In 2015, Vik Paruchuri started Dataquest with the simple goal of bringing data to the people. Six years later, Dataquest has trained over one million learners on their quest to advance their careers.<\/p>\n\n\n\n<p>Another story is in the works: one million learners walked into Dataquest and asked for a better future. Most found theirs. Be one of the next million. Start fresh and <a href=\"https:\/\/app.dataquest.io\/signup?utm_medium=content_spon&amp;utm_source=career_karma&amp;utm_campaign=may21_spon_articles&amp;utm_content=why_dataquest\" target=\"_blank\" rel=\"noopener\" rel=\"nofollow\">start free with Dataquest.<\/a>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"In 2012, the year when data scientists became the talk of the town, the New York Times published an article that highlighted the power of data science. It\u2019s something that has made the rounds in the industry, and it started like any other interesting story:A man walks into Target and asks for the manager.The man,&hellip;","protected":false},"author":93,"featured_media":31280,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[28859],"tags":[],"class_list":{"0":"post-31279","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-partner-spotlight"},"acf":{"post_sub_title":"","sprint_id":"","query_class":"Partner Spotlight","school_sft":"","parent_sft":"","school_privacy_policy":"","has_review":null,"is_sponser_post":["yes"],"is_guest_post":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Why Choose Dataquest? Boost Your Data Skills for Careers of Tomorrow<\/title>\n<meta name=\"description\" content=\"Find out how Dataquest is teaching data science skills for as low as $0.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/careerkarma.com\/blog\/dataquest-deep-dive\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why Choose Dataquest? 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