{"id":989,"date":"2022-12-06T18:07:47","date_gmt":"2022-12-06T18:07:47","guid":{"rendered":"https:\/\/pearl.reading.ac.uk\/academy\/?post_type=overview&#038;p=989"},"modified":"2022-12-06T18:07:47","modified_gmt":"2022-12-06T18:07:47","slug":"statistics-for-weather-and-climate-science","status":"publish","type":"overview","link":"https:\/\/pearl.reading.ac.uk\/academy\/overview\/statistics-for-weather-and-climate-science\/","title":{"rendered":"Statistics for Weather and Climate Science"},"content":{"rendered":"<p>This module aims to introduce basic statistical concepts and reasoning relevant to environmental science, as well as provide experience in the proper use of statistical methods for the analysis of weather and climate data. Registration with University of Reading (via Department of Meteorology \u201conline courses\u201d).\u00a0 Cost in 2021\/2022 ~\u00a3300.<\/p>\n<table width=\"609\">\n<tbody>\n<tr>\n<td width=\"105\"><strong>BIP-M Alignment:<\/strong><\/td>\n<td width=\"504\">Mathematics (pre-requisites)<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Learning Aims:<\/strong><\/td>\n<td width=\"504\">By the end of this module the student should be able to:<\/p>\n<ul>\n<li>Describe the main concepts in statistical science;<\/li>\n<li>Select and compare appropriate analysis methods;<\/li>\n<li>Critically analyse data and draw correct inferences;<\/li>\n<li>Use statistical software.<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Target Audience<\/strong><\/td>\n<td width=\"504\">Entry-level Scientist (beginner technical)<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Continent<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/td>\n<td width=\"504\">Global<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Duration<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/td>\n<td width=\"504\">41 \u2013 100 hours<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Delivery method<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/td>\n<td width=\"504\">Blended<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Format (primary)<\/strong><\/td>\n<td width=\"504\">Lectures, practicals, guided independent study<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>IPR Owner<\/strong><\/td>\n<td width=\"504\">University of Reading<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Course status<\/strong><\/td>\n<td width=\"504\">Active<\/td>\n<\/tr>\n<tr>\n<td width=\"105\"><strong>Contact email:<\/strong><\/td>\n<td width=\"504\">Ted Shepherd<br \/>\n&lt; theodore.shepherd@reading.ac.uk &gt;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p style=\"margin: 0in; font-family: Calibri; font-size: 11.0pt;\"><a href='https:\/\/www.reading.ac.uk\/meteorology\/online-courses\/classes#statistics' class='small-button smallblack' target=\"_blank\">Find out more<\/a><\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"class_list":["post-989","overview","type-overview","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Statistics for Weather and Climate Science &#8212; The Pearl Academy<\/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:\/\/pearl.reading.ac.uk\/academy\/overview\/statistics-for-weather-and-climate-science\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Statistics for Weather and Climate Science &#8212; The Pearl Academy\" \/>\n<meta property=\"og:description\" content=\"This module aims to introduce basic statistical concepts and reasoning relevant to environmental science, as well as provide experience in the proper use of statistical methods for the analysis of weather and climate data. 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