{"id":11058,"date":"2024-05-28T15:58:32","date_gmt":"2024-05-28T15:58:32","guid":{"rendered":"https:\/\/milestone-institute.org\/modules\/uncertainty-and-analytics\/"},"modified":"2024-05-28T15:58:32","modified_gmt":"2024-05-28T15:58:32","slug":"uncertainty-and-analytics","status":"publish","type":"modules","link":"https:\/\/milestone-institute.org\/hu\/modules\/uncertainty-and-analytics\/","title":{"rendered":"Uncertainty and Analytics"},"content":{"rendered":"<h1>Uncertainty and Analytics<\/h1>\n<p>\u201cUncertainty is the only certainty there is..\u201d, as mathematician John Allen Paulos points out, is a fundamental component of many systems, ranging from subatomic particles to human decision-making. Probability theory provides a formal framework for comprehending this uncertainty and making educated judgments based on the facts at hand. This module&#8217;s goal is to give students a good foundation in probability theory and data analytics by addressing fundamental concepts such as risk, uncertainty, ambiguity, belief, evidence, likelihood, correlation, regression, and data visualization. Students will be able to address a variety of probability and data analytics challenges, as well as think critically about belief systems and evidence by the end of the module. This module is recommended for students interested in mathematics, computer science, economics, neuroscience, cognitive science, and data analysis in general.<\/p>\n<p>Module leader: Najeed Muhammad<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cUncertainty is the only certainty there is..\u201d, as mathematician John Allen Paulos points out, is a fundamental component of many systems, ranging from subatomic particles to human decision-making. Probability theory provides a formal framework for comprehending this uncertainty and making educated judgments based on the facts at hand. This module&#8217;s goal is to give students a good foundation in probability theory and data analytics by addressing fundamental concepts such as risk, uncertainty, ambiguity, belief, evidence, likelihood, correlation, regression, and data visualization. Students will be able to address a variety of probability and data analytics challenges, as well as think critically about belief systems and evidence by the end of the module. This module is recommended for students interested in mathematics, computer science, economics, neuroscience, cognitive science, and data analysis in general.<\/p>\n<p>Module leader: Najeed Muhammad<\/p>\n","protected":false},"featured_media":0,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"department":[],"division":[104],"terms_years":[190],"level":[245],"class_list":["post-11058","modules","type-modules","status-publish","format-standard","hentry","division-numerical-sciences","terms_years-2023-2024","level-immersion-1"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Uncertainty and Analytics &#8211; Milestone Institute<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/milestone-institute.org\/modules\/uncertainty-and-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"hu_HU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uncertainty and Analytics &#8211; Milestone Institute\" \/>\n<meta property=\"og:description\" content=\"\u201cUncertainty is the only certainty there is..\u201d, as mathematician John Allen Paulos points out, is a fundamental component of many systems, ranging from subatomic particles to human decision-making. Probability theory provides a formal framework for comprehending this uncertainty and making educated judgments based on the facts at hand. This module&#039;s goal is to give students a good foundation in probability theory and data analytics by addressing fundamental concepts such as risk, uncertainty, ambiguity, belief, evidence, likelihood, correlation, regression, and data visualization. Students will be able to address a variety of probability and data analytics challenges, as well as think critically about belief systems and evidence by the end of the module. This module is recommended for students interested in mathematics, computer science, economics, neuroscience, cognitive science, and data analysis in general. Module leader: Najeed Muhammad\" \/>\n<meta property=\"og:url\" content=\"https:\/\/milestone-institute.org\/modules\/uncertainty-and-analytics\/\" \/>\n<meta property=\"og:site_name\" content=\"Milestone Institute\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/msinst\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Becs\u00fclt olvas\u00e1si id\u0151\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 perc\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/modules\\\/uncertainty-and-analytics\\\/\",\"url\":\"https:\\\/\\\/milestone-institute.org\\\/modules\\\/uncertainty-and-analytics\\\/\",\"name\":\"Uncertainty and Analytics &#8211; Milestone Institute\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/#website\"},\"datePublished\":\"2024-05-28T15:58:32+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/modules\\\/uncertainty-and-analytics\\\/#breadcrumb\"},\"inLanguage\":\"hu\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/milestone-institute.org\\\/modules\\\/uncertainty-and-analytics\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/modules\\\/uncertainty-and-analytics\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Kezd\u0151lap\",\"item\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Uncertainty and Analytics\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/#website\",\"url\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/\",\"name\":\"Milestone Institute\",\"description\":\"Milestone Institute\",\"publisher\":{\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"hu\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/#organization\",\"name\":\"Milestone Institute\",\"url\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"hu\",\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/milestone-institute.org\\\/wp-content\\\/uploads\\\/2022\\\/10\\\/logo-mini.svg\",\"contentUrl\":\"https:\\\/\\\/milestone-institute.org\\\/wp-content\\\/uploads\\\/2022\\\/10\\\/logo-mini.svg\",\"width\":77,\"height\":85,\"caption\":\"Milestone Institute\"},\"image\":{\"@id\":\"https:\\\/\\\/milestone-institute.org\\\/hu\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/msinst\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Uncertainty and Analytics &#8211; Milestone Institute","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/milestone-institute.org\/modules\/uncertainty-and-analytics\/","og_locale":"hu_HU","og_type":"article","og_title":"Uncertainty and Analytics &#8211; Milestone Institute","og_description":"\u201cUncertainty is the only certainty there is..\u201d, as mathematician John Allen Paulos points out, is a fundamental component of many systems, ranging from subatomic particles to human decision-making. 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