{"id":33342,"date":"2025-01-31T11:41:58","date_gmt":"2025-01-31T08:41:58","guid":{"rendered":"https:\/\/finstockevarsity.com\/resources\/?post_type=product&#038;p=33342"},"modified":"2025-01-31T11:41:58","modified_gmt":"2025-01-31T08:41:58","slug":"mathematical-concepts-in-data-science-in-data-management-and-analytics-diploma-level","status":"publish","type":"product","link":"https:\/\/finstockevarsity.com\/resources\/product\/mathematical-concepts-in-data-science-in-data-management-and-analytics-diploma-level\/","title":{"rendered":"Mathematical Concepts In Data Science in Data Management And Analytics  Diploma Level"},"content":{"rendered":"<p>Mathematical Concepts in Data Science in Data Management and Analytics&#8221; provides a comprehensive exploration of core mathematical principles driving data science. It bridges theoretical concepts like linear algebra, probability, and statistics with practical applications in data management and analytics. The book emphasizes problem-solving techniques, offering real-world case studies and computational examples. Ideal for students and professionals, it equips readers with the mathematical foundation necessary for success in data-driven fields.<\/p>\n<div class=\"fb-background-color\">\n\t\t\t  <div \n\t\t\t  \tclass = \"fb-comments\" \n\t\t\t  \tdata-href = \"http:\/\/finstockevarsity.com\/resources\/product\/mathematical-concepts-in-data-science-in-data-management-and-analytics-diploma-level\/\"\n\t\t\t  \tdata-numposts = \"10\"\n\t\t\t  \tdata-lazy = \"true\"\n\t\t\t\tdata-colorscheme = \"light\"\n\t\t\t\tdata-order-by = \"social\"\n\t\t\t\tdata-mobile=true>\n\t\t\t  <\/div><\/div>\n\t\t  <style>\n\t\t    .fb-background-color {\n\t\t\t\tbackground: #ffffff !important;\n\t\t\t}\n\t\t\t.fb_iframe_widget_fluid_desktop iframe {\n\t\t\t    width: 100% !important;\n\t\t\t}\n\t\t  <\/style>\n\t\t  ","protected":false},"excerpt":{"rendered":"<p style=\"margin-top: 12.0pt;\"><span class=\"fontstyle0\">This book contains the following topics:<\/span><\/p>\n<p style=\"margin-top: 12.0pt;\">\u00a0\u2022 Introduction to Mathematical Foundations for Data Science<br \/>\n\u2022 Probability and Statistics for Data Science<br \/>\n\u2022 Linear Algebra in Data Science<br \/>\n\u2022 Calculus for Data Science<br \/>\n\u2022 Mathematical Modelling and Regression Analysis<br \/>\n\u2022 Discrete Mathematics and Graph Theory in Data Science<br \/>\n\u2022 Optimization Techniques in Data Science<br \/>\n\u2022 Advanced Topics in Mathematics for Data Science<\/p>\n<table>\n<tbody>\n<tr>\n<td>Category:<\/td>\n<td>Diploma Level Book<\/td>\n<\/tr>\n<tr>\n<td>Publisher:<\/td>\n<td><a href=\"https:\/\/finstockevarsity.com\/resources\/\">Finstock Evarsity Publishers<\/a><\/td>\n<\/tr>\n<tr>\n<td>ISBN:<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Authors:<\/td>\n<td>CPA John Kimani, Dr. James Scott<\/td>\n<\/tr>\n<tr>\n<td>Pages:<\/td>\n<td>97<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":33346,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"product_brand":[],"product_cat":[51],"product_tag":[],"class_list":{"0":"post-33342","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-kasneb-resources","7":"product_shipping_class-require-shipping","9":"first","10":"instock","11":"downloadable","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mathematical Concepts In Data Science in Data Management And Analytics Diploma Level - Finstock Evarsity Resources<\/title>\n<meta name=\"description\" content=\"Mathematical Concepts in Data Science in Data Management and Analytics&quot; provides a comprehensive exploration of core mathematical principles driving data science. It bridges theoretical concepts like linear algebra, probability, and statistics with practical applications in data management and analytics. The book emphasizes problem-solving techniques, offering real-world case studies and computational examples. Ideal for students and professionals, it equips readers with the mathematical foundation necessary for success in data-driven fields.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/finstockevarsity.com\/resources\/product\/mathematical-concepts-in-data-science-in-data-management-and-analytics-diploma-level\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mathematical Concepts In Data Science in Data Management And Analytics Diploma Level - Finstock Evarsity Resources\" \/>\n<meta property=\"og:description\" content=\"Mathematical Concepts in Data Science in Data Management and Analytics&quot; provides a comprehensive exploration of core mathematical principles driving data science. 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