{"id":1192,"date":"2021-01-30T23:37:03","date_gmt":"2021-01-30T23:37:03","guid":{"rendered":"https:\/\/pdftextbook.com\/?post_type=product&#038;p=1192"},"modified":"2024-02-24T16:04:26","modified_gmt":"2024-02-24T16:04:26","slug":"an-introduction-to-data-science-first-edition","status":"publish","type":"product","link":"https:\/\/pdftextbook.com\/product\/an-introduction-to-data-science-first-edition","title":{"rendered":"An Introduction to Data Science First Edition"},"content":{"rendered":"<p><strong>An Introduction to Data Science<\/strong>\u00a0by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudio<sup>\u00ae<\/sup>\u00a0platform to make data science welcoming and accessible for all learners. After introducing the basics of data science, the book builds on each previous concept to explain R programming from the ground up. Readers will learn essential skills in data science through demonstrations of how to use data to construct models, predict outcomes, and visualize data.<\/p>\n<h3 class=\"entry-title\">Refund and Returns Policy<\/h3>\n<p>Due to the nature of digital products, pdfTextbook does not offer refunds or returns\u00a0 for this product and all sales are final. please contact our customer service team\u00a0<strong>before<\/strong>\u00a0your purchase at\u00a0<em>contact@pdftextbook.com<\/em>.<\/p>\n<p><iframe loading=\"lazy\" title=\"An Introduction to Data Science\" type=\"text\/html\" width=\"980\" height=\"550\" frameborder=\"0\" allowfullscreen style=\"max-width:100%\" src=\"https:\/\/read.amazon.com\/kp\/card?preview=inline&#038;linkCode=kpd&#038;ref_=k4w_oembed_uWGLsOkzSFb7CA&#038;asin=150637753X&#038;tag=kpembed-20\"><\/iframe><\/p>\n<h3 class=\"entry-title\">Refund and Returns Policy<\/h3>\n<p>Due to the nature of digital products, pdfTextbook does not offer refunds or returns\u00a0 for this product and all sales are final. please contact our customer service team\u00a0<strong>before<\/strong>\u00a0your purchase at\u00a0<em>contact@pdftextbook.com<\/em>.<\/p>\n<h2>Editorial Reviews<\/h2>\n<div class=\"a-section a-spacing-small a-padding-base\">\n<h3>About the Author<\/h3>\n<div class=\"a-section a-spacing-small a-padding-small\">\n<p><strong>Jeffrey S. Saltz<\/strong>\u00a0is currently an Associate Professor at Syracuse University, in the School of Information Studies. His research and teaching focus on helping organizations\u00a0leverage information technology and data for competitive advantage. Specifically, Jeff\u2019s current research focuses on the socio-technical aspects of data science projects, such as how to coordinate and manage data science teams. In order to stay connected to the \u201creal world\u201d, Jeff consults with clients ranging from professional football teams to Fortune 500 organizations.<\/p>\n<p>Prior to becoming a professor, Jeff\u2019s 20+ years of industry\u00a0experience focused on leveraging emerging technologies and data analytics\u00a0to\u00a0deliver innovative business solutions. In his last corporate role, at\u00a0JPMorgan Chase, he reported to the firm\u2032s Chief Information Officer\u00a0and drove\u00a0technology innovation across the organization. Jeff also held several\u00a0other key technology management positions at the company,\u00a0including CTO and Chief\u00a0Information Architect.<\/p>\n<p>Jeff has also served as chief technology officer and principal investor at Goldman Sachs, where he invested and helped incubate technology start-ups. He started his career as a programmer, project leader and consulting engineer with Digital Equipment Corp.<\/p>\n<p>&nbsp;<\/p>\n<p>Jeff holds a B.S. degree in computer science from Cornell University, an M.B.A. from The Wharton School at the University of Pennsylvania and a Ph.D. in Information Systems from the New Jersey Institute of Technology.<\/p>\n<p>Jeffrey M. Stanton, Ph.D. (University of Connecticut, 1997) is Associate Provost of Academic Affairs and Professor of Information Studies at Syracuse University. Dr. Stanton\u2019s research focuses on organizational behavior and technology. He is the author of Information Nation: Educating the Next Generation of Information Professionals (2010), with Dr. Indira Guzman and Dr. Kathryn Stam. Stanton has also published many scholarly articles in peer-reviewed behavioral science journals, such as the Journal of Applied Psychology, Personnel Psychology, and Human Performance. His articles also appear in Journal of Computational Science Education, Computers and Security, Communications of the ACM, Computers in Human Behavior, the International Journal of Human-Computer Interaction, Information Technology and People, the Journal of Information Systems Education, the Journal of Digital Information, Surveillance and Society, and Behaviour &amp; Information Technology. He also has published numerous book chapters on data science, privacy, research methods, and program evaluation.\u00a0 Dr. Stanton\u2019s methodological expertise is in psychometrics with published works on the measurement of job satisfaction and job stress. Dr. Stanton\u2032s research has been supported through 18 grants and supplements including the National Science Foundation\u2019s CAREER award.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<h2>Instant Download<\/h2>\n<h2>Product details<\/h2>\n<div id=\"detailBullets_feature_div\">\n<ul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\">\n<li><span class=\"a-list-item\"><span class=\"a-text-bold\">Language :\u00a0<\/span>English<\/span><\/li>\n<li><span class=\"a-list-item\"><span class=\"a-text-bold\">ISBN-10 :\u00a0<\/span>150637753X<\/span><\/li>\n<li><span class=\"a-list-item\"><span class=\"a-text-bold\">ISBN-13 :\u00a0<\/span>978-1506377537<\/span><\/li>\n<\/ul>\n<\/div>\n<ul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\">\n<li><span class=\"a-list-item\"><span class=\"a-text-bold\">Best Sellers Rank:\u00a0<\/span>#313,862 in Books (<a href=\"https:\/\/www.amazon.com\/gp\/bestsellers\/books\/ref=pd_zg_ts_books\">See Top 100 in Books<\/a>)<\/span>\n<ul class=\"a-unordered-list a-nostyle a-vertical zg_hrsr\">\n<li><span class=\"a-list-item\">#156 in\u00a0<a href=\"https:\/\/www.amazon.com\/gp\/bestsellers\/books\/271582011\/ref=pd_zg_hrsr_books\">Mathematical &amp; Statistical Software<\/a><\/span><\/li>\n<li><span class=\"a-list-item\">#337 in\u00a0<a href=\"https:\/\/www.amazon.com\/gp\/bestsellers\/books\/10020691011\/ref=pd_zg_hrsr_books\">Business Statistics<\/a><\/span><\/li>\n<li><span class=\"a-list-item\">#531 in\u00a0<a href=\"https:\/\/www.amazon.com\/gp\/bestsellers\/books\/491548\/ref=pd_zg_hrsr_books\">Statistics (Books)<\/a><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"featured_media":722,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_cat":[17],"product_tag":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.6 (Yoast SEO v21.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>An Introduction to Data Science First Edition - PDF TEXTBOOK<\/title>\n<meta name=\"description\" content=\"... to Data Science (9781506377537): Saltz, Jeffrey S., Stanton, Jeffrey M.: Books. ... 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