{"id":59345,"date":"2023-09-05T14:43:16","date_gmt":"2023-09-05T14:43:16","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/cme371-advanced-statistics-and-data-analytics-syllabus-for-mech-sandwich-2021-regulation-professional-elective-vii\/"},"modified":"2023-09-05T14:43:16","modified_gmt":"2023-09-05T14:43:16","slug":"cme371-advanced-statistics-and-data-analytics-syllabus-for-mech-sandwich-2021-regulation-professional-elective-vii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/cme371-advanced-statistics-and-data-analytics-syllabus-for-mech-sandwich-2021-regulation-professional-elective-vii\/","title":{"rendered":"CME371: Advanced Statistics and Data Analytics syllabus for Mech Sandwich 2021 regulation (Professional Elective-VII)"},"content":{"rendered":"<p align=\"justify\">Advanced Statistics and Data Analytics detailed syllabus for Mechanical Engineering Sandwich (Mech Sandwich) for 2021 regulation curriculum has been taken from the <a class=\"rank-math-link\" href=\"https:\/\/cac.annauniv.edu\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Anna Universities<\/a> official website and presented for the Mech Sandwich students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Mechanical Engineering Sandwich 8th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/mech-sandwich-8th-sem-syllabus-2021-regulation\">Mech Sandwich 8th Sem 2021 regulation scheme<\/a>. For Professional Elective-VII scheme and its subjects refer to <a class=\"rank-math-link\" href=\"..\/professional-elective-vii-syllabus-for-mech-sandwich-2021-regulation\">Mech Sandwich Professional Elective-VII syllabus scheme<\/a>. The detailed syllabus of advanced statistics and data analytics is as follows. <\/p>\n<p><h4>Course Objectives:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\/\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit I<\/h4>\n<p><strong>REGRESSION\t9<\/strong><br \/>\nIntroduction &#8211; Linear regression &#8211; Correlation analysis -Limitations, errors, and caveats of using regression and correlation analyses &#8211; Multiple regression and correlation analysis &#8211; Inferences about population parameters &#8211; Modeling techniques. &#8211; Coefficient of determination, Interpretation of regression coefficients, Categorical variables, heteroscedasticity, Multi-co linearity outliers, Ridge regression.\n<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong>EXPLORATORY DATA ANALYSIS\t9<\/strong><br \/>\nRise of statistics, Data Wrangling, Data Quality. Visual encoding &#8211; Mapping Data to Visual Variables, Encoding Effectiveness, Scales &amp; Axes, Aspect Ratio, Regression Lines, Multidimensional Data, Parallel Coordinates, Dimensionality Reduction.\n<\/p>\n<p><h4>Unit III<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\/\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit IV<\/h4>\n<p><strong>FORECASTING AND CAUSAL MODELS\t9<\/strong><br \/>\nMoving average, Exponential Smoothing, Casual Models.\n<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong>TIME SERIES ANALYSIS\t9<\/strong><br \/>\nAuto regression (AR), Moving Average(MA) Models, ARMA, ARIMA models , Multivariate Models<br \/>\nTOTAL 45 PERIODS\n<\/p>\n<p><h4>Course Outcomes:<\/h4>\n<p> At the end of the course the students would be able to<\/p>\n<ol>\n<li>Develop how to do regression fit for the given data.<\/li>\n<li>Visualize the data through explanatory data analysis<\/li>\n<li>Classify the given data through logistic regression<\/li>\n<li>Analyzing forecasting techniques and causal inferences.<\/li>\n<li>Utilize the effective time series analysis to predict\/forecast the future behavior of data.<\/li>\n<\/ol>\n<p><h4>Text Books:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\/\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Reference Books:<\/h4>\n<ol>\n<li>David Forsyth, \u2018Probability and Statistics for Computer Science\u2019, Springer; 2018<\/li>\n<li>Michael J. Evans, Jeffrey S. Rosenthal, \u2018Probability and Statistics &#8211; The Science of Uncertainty\u2019. W H Freeman &amp; Co, 2010<\/li>\n<li>Max Kuhn, Kjell Johnson, \u201cApplied Predictive Modeling\u201d, Springer, 2014.<\/li>\n<li>Ronald E. Walpole, Raymond H. Meyers, Sharon L. Meyers, \u201cProbability and Statistics for Engineers and Scientists\u201d, Pearson Education, 2014.<\/li>\n<li>Daniel T. Larose, Chantal D. Larose \u201cData Mining and Predictive Analytics\u201d, Wiley,2015<\/li>\n<li>Thomas W.Miller, \u201cModeling Techniques in Predictive Analytics with Python and R: A guide to Data Science\u201d, Pearson Education, 2014.<\/li>\n<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all the other subjects of Mechanical Engineering Sandwich 8th Sem, visit <a class=\"rank-math-link\" href=\"..\/category\/mech-sandwich+8th-sem\">Mech Sandwich 8th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Mechanical Engineering Sandwich results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University Mech Sandwich all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Advanced Statistics and Data Analytics detailed syllabus for Mechanical Engineering Sandwich (Mech Sandwich) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the [&hellip;]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[60],"tags":[],"class_list":["post-59345","post","type-post","status-publish","format-standard","hentry","category-mech-sandwich"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/59345","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=59345"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/59345\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=59345"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=59345"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=59345"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}