{"id":55781,"date":"2023-08-28T16:06:29","date_gmt":"2023-08-28T16:06:29","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/omg355-multivariate-data-analysis-syllabus-for-csbs-2021-regulation-open-elective-iv\/"},"modified":"2023-08-28T16:06:29","modified_gmt":"2023-08-28T16:06:29","slug":"omg355-multivariate-data-analysis-syllabus-for-csbs-2021-regulation-open-elective-iv","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/omg355-multivariate-data-analysis-syllabus-for-csbs-2021-regulation-open-elective-iv\/","title":{"rendered":"OMG355: Multivariate Data Analysis syllabus for CS&BS 2021 regulation (Open Elective-IV)"},"content":{"rendered":"

Multivariate Data Analysis detailed syllabus for Computer Science & Business Systems (CS&BS) for 2021 regulation curriculum has been taken from the Anna Universities<\/a> official website and presented for the CS&BS 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

For Computer Science & Business Systems 7th Sem scheme and its subjects, do visit CS&BS 7th Sem 2021 regulation scheme<\/a>. For Open Elective-IV scheme and its subjects refer to CS&BS Open Elective-IV syllabus scheme<\/a>. The detailed syllabus of multivariate data analysis is as follows. <\/p>\n

Course Objectives:<\/h4>\n

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Unit I<\/h4>\n

INTRODUCTION\tUni-variate, Bi-variate and Multi-variate techniques – Classification of multivariate techniques -Guidelines for multivariate analysis and interpretation.\n<\/p>\n

Unit II<\/h4>\n

PREPARING FOR MULTIVARIATE ANALYSIS\tConceptualization of research model with variables, collection of data –Approaches for dealing with missing data – Testing the assumptions of multivariate analysis.\n<\/p>\n

Unit III<\/h4>\n

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Unit IV<\/h4>\n

LATENT VARIABLE TECHNIQUES\tConfirmatory Factor Analysis, Structural equation modelling, Mediation models, Moderation models, Longitudinal studies.\n<\/p>\n

Unit V<\/h4>\n

ADVANCED MULTIVARIATE TECHNIQUES Multiple Discriminant Analysis, Logistic Regression, Cluster Analysis, Conjoint Analysis, multidimensional scaling.\n<\/p>\n

Course Outcomes:<\/h4>\n
    \n
  1. Demonstrate a sophisticated understanding of the concepts and methods; know the exact scopes and possible limitations of each method; and show capability of using multivariate techniques to provide constructive guidance in decision making.<\/li>\n
  2. Use advanced techniques to conduct thorough and insightful analysis, and interpret the results correctly with detailed and useful information.<\/li>\n
  3. Show substantial understanding of the real problems; conduct deep analysis using correct methods; and draw reasonable conclusions with sufficient explanation and elaboration.<\/li>\n
  4. Write an insightful and well-organized report for a real-world case study, including thoughtful and convincing details.<\/li>\n
  5. Make better business decisions by using advanced techniques in data analytics. \u2018<\/li>\n<\/ol>\n

    Reference Books:<\/h4>\n

    Download the iStudy App for all syllabus and other updates.<\/a>
    \"Get<\/a><\/h4>\n

    For detailed syllabus of all the other subjects of Computer Science & Business Systems 7th Sem, visit CS&BS 7th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

    For all Computer Science & Business Systems results, visit Anna University CS&BS all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

    Multivariate Data Analysis detailed syllabus for Computer Science & Business Systems (CS&BS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CS&BS […]<\/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":[146],"tags":[],"class_list":["post-55781","post","type-post","status-publish","format-standard","hentry","category-csbs"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55781","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=55781"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55781\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=55781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=55781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=55781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}