{"id":15941,"date":"2025-12-06T08:07:53","date_gmt":"2025-12-06T02:37:53","guid":{"rendered":"https:\/\/bim.edu\/index\/?page_id=15941"},"modified":"2025-12-06T08:19:00","modified_gmt":"2025-12-06T02:49:00","slug":"statistical-data-analysis-using-spss-open-ai-applications","status":"publish","type":"page","link":"https:\/\/bim.edu\/index\/mdp\/bim-knowledge-series\/statistical-data-analysis-using-spss-open-ai-applications\/","title":{"rendered":"Statistical Data Analysis using SPSS &#038; Open AI Applications"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"15941\" class=\"elementor elementor-15941\" 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class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cf80631\" data-id=\"cf80631\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-e465237 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e465237\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-7cb1692\" data-id=\"7cb1692\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-dc8cef0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dc8cef0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cc96f63\" data-id=\"cc96f63\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-a4178a5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a4178a5\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-5e51764\" data-id=\"5e51764\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f97874b elementor-widget elementor-widget-pp-breadcrumbs\" data-id=\"f97874b\" data-element_type=\"widget\" data-settings=\"{&quot;breadcrumbs_type&quot;:&quot;powerpack&quot;}\" data-widget_type=\"pp-breadcrumbs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<ul class=\"pp-breadcrumbs pp-breadcrumbs-powerpack\">\t\t<li class=\"pp-breadcrumbs-item pp-breadcrumbs-item-home\">\n\t\t\t<a class=\"pp-breadcrumbs-crumb pp-breadcrumbs-crumb-link pp-breadcrumbs-crumb-home\" href=\"https:\/\/bim.edu\/index\" title=\"Home\">\n\t\t\t\t<span class=\"pp-breadcrumbs-text\">\n\t\t\t\t\t\t\t\t\t\tHome\t\t\t\t<\/span>\n\t\t\t<\/a>\n\t\t<\/li>\n\t\t<li class=\"pp-breadcrumbs-separator\">\t\t\t\t<span class='pp-separator-icon pp-icon'>\n\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-angle-right\"><\/i>\t\t\t\t<\/span>\n\t\t\t\t<\/li><\/ul>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a505ecb elementor-widget elementor-widget-text-editor\" data-id=\"a505ecb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4>WORKSHOP DETAILS<\/h4><p><strong>Duration: <\/strong>Monday, Tuesday, Wednesday and Friday<strong><br \/>Date:<\/strong> 10 Dec to 26 Dec<br \/><strong>Time:<\/strong> 7 pm to 9 pm<\/p><h4>ABOUT THE PROGRAM<\/h4><div><div>This brochure presents a comprehensive\u00a0<span style=\"font-size: 1rem;\">overview of how SPSS and OpenAI applications\u00a0<\/span><span style=\"font-size: 1rem;\">can jointly enhance research quality, automate\u00a0<\/span><span style=\"font-size: 1rem;\">analytics, and\u00a0 <\/span>improve decision\u2011making\u00a0<span style=\"font-size: 1rem;\">in\u00a0<\/span><span style=\"font-size: 1rem;\">academia, business, and industry.<br \/><\/span><\/div><div>\u00a0<\/div><\/div><h4>BENEFITS OF SPSS &amp; AI<\/h4><ul><li>Faster analysis<\/li><li>High accuracy in interpretation<\/li><li>Assistance in complex statistical explanations<\/li><li>Automated report generation<\/li><\/ul><h4>PROGRAM OUTCOMES<\/h4><ul><li>Clean, organize, and analyze datasets<\/li><li>Conduct appropriate statistical tests<\/li><li>Interpret findings<\/li><li>Build AI-assisted research reports<\/li><li>Improve publication quality<\/li><li>Save time and reduce analytical errors<\/li><\/ul><h4>KEY TOPICS COVERED<\/h4><ul><li><strong>Session 1:<br \/><\/strong>Introduction with SPSS, import data from google form, cleaning of excel file from google form, import data from CSV and Xlsx formal, Creating data in SPSS, Data view and Variable View<\/li><li><strong>Session 2:<br \/><\/strong>Dealing with categorical data, Frequency distribution, Professional representation of frequency distribution in excel and in research papers, multi layers cross tabulation, Advance statistical tests available for categorical variables, Difference between categorical variables and dummy variables, how and when to use dummy vs categorical variables<strong><br \/><\/strong><\/li><li><strong style=\"font-style: inherit; background-color: var(--ast-global-color-5);\"><strong>Session <\/strong>3:<br \/><\/strong>Descriptive analysis, mean and trimmed mean, standard deviations, z scores and its estimation, skewness and kurtosis, how to examine normal distribution, testing and elimination of outliers in the data<\/li><li><strong style=\"font-size: 16px;\"><strong>Session <\/strong>4:<br \/><\/strong>Test of difference: Z test, t test, one sample t test, independent sample t test, paired sample t test, repeated sample t test, assumptions of t test<\/li><li><strong style=\"font-size: 16px;\"><strong>Session <\/strong>5:<br \/><\/strong>Test of difference using variations: One-way Anova test, post hoc tests, assumptions of Anova Test and Two-way Anova test<\/li><li><strong style=\"font-size: 16px;\"><strong>Session <\/strong>6:<br \/><\/strong>Test of association, Chi Square Test, Cramer\u02bcs V Statistics<\/li><li><strong style=\"font-size: 16px;\"><strong>Session <\/strong>7:<br \/><\/strong>Test of relationship, Correlation analysis, Partial Correlation, Rank correlation<\/li><li><strong>Session 8:<br \/><\/strong>Non-Parametric Tests: Mann Whitney Test, Wilcoxon test, Kruskal Wallis, Friedman Anova<\/li><li><strong>Session 9:<br \/><\/strong>Regression analysis: Bivariate regression analysis, causation effects, R square, coefficient of determination, F statistics, unstandardized and standardized regression coefficients, hypothesis testing using t tes<\/li><li><strong>Session 10:<br \/><\/strong>Regression assumptions: Multicollinearity, Autocorrelation problem, Heteroskedasticity problem, Gauss Markov theorem<\/li><\/ul><h4>WHO SHOULD ATTEND?<\/h4><p>This course is ideal for <strong>marketing professionals, business analysts, data scientists,<\/strong> and <strong>students interested in applying AI and analytics in marketing.<\/strong> No prior programming experience is required.<\/p><h4>RESOURCE PERSON<\/h4><p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignright\" src=\"http:\/\/bim.edu\/index\/wp-content\/uploads\/2024\/09\/Dr.-Ajay-Kumar-Chauhan.jpg\" alt=\"\" width=\"250\" height=\"250\" \/>Dr. Ajay Kumar Chauhan (M.Sc. Mathematics, MBA Finance, UGC NET, Ph.D. Finance) is the founder of 6thQResearchH LLP (Research-Shiksha) and currently serves as Professor of Practice in Analytics at BIM Trichy. With over a decade of teaching experience at institutions like IMT Ghaziabad, LBSIM, and Apeejay, Dr. Chauhan has conducted more than 1000 training workshops nationally and internationally on topics such as Structural Equation Modelling, Financial Econometrics, Machine Learning, and Business Research Methods. He has published 25 research papers in ABDC A &amp; B category journals, authored three books, and completed an advanced course in Econometrics from Switzerland. A renowned trainer, he has collaborated with prestigious organizations including IIMs, NTPC, Coca-Cola, and NITs, and has also taught internationally in Bulgaria.<\/p><h4>WORKSHOP HIGHLIGHTS<\/h4><p><strong>Exclusive Resources<\/strong><\/p><ul><li>Lifetime access to session videos.<\/li><li>Pre-shared PPTs, datasets, and e-Books<\/li><\/ul><p><strong>Certification<\/strong><\/p><ul><li>Receive an e-Certificate upon completion<\/li><\/ul><h4><strong>REGISTRATION PROCESS<\/strong><\/h4><ul><li>Pay Rs.1999\/-<\/li><\/ul><p><strong>Note:<\/strong><\/p><ul><li>Please share your transaction details with us on the whatsapp number 9811216905, and we will add you to the workshop group without delay.<\/li><\/ul><p><strong>For further enquiry, contact,<\/strong><br \/>Dr. Ajay Kumar Chauhan<br \/>98112 16905 | ajay@bim.edu<br \/>Mr. Ganesh, 98945 24333 | ganesan.v@bim.edu<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-00fc27a pp-buttons-halign-center pp-buttons-valign-middle pp-buttons-stack-none elementor-widget elementor-widget-pp-buttons\" data-id=\"00fc27a\" data-element_type=\"widget\" data-widget_type=\"pp-buttons.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"pp-buttons-group\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLScsAzpN1XkM0055FczxUIDupLLRtjBA2WIZ3YiItyjyVo_G6A\/viewform\" target=\"_blank\" class=\"pp-button elementor-button elementor-size-lg elementor-repeater-item-fd106b5 \">\n\t\t\t\t\t<div class=\"pp-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"pp-button-content-inner pp-icon-before\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"pp-button-icon pp-icon\">\n\t\t\t\t\t\t\t\t\t\t\t<i class=\"pp-button-icon fas fa-file-signature\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<span class=\"pp-button-title\">\n\t\t\t\t\t\t\t\t\tRegister Here\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.onlinesbi.sbi\/sbicollect\/icollecthome.htm?corpID=98776\" target=\"_blank\" class=\"pp-button elementor-button elementor-size-lg elementor-repeater-item-eef2aff \">\n\t\t\t\t\t<div class=\"pp-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"pp-button-content-inner pp-icon-before\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"pp-button-icon pp-icon\">\n\t\t\t\t\t\t\t\t\t\t\t<i class=\"pp-button-icon fas fa-money-check\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<span class=\"pp-button-title\">\n\t\t\t\t\t\t\t\t\tClick to Pay\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Home WORKSHOP DETAILS Duration: Monday, Tuesday, Wednesday and FridayDate: 10 Dec to 26 DecTime: 7 pm to 9 pm ABOUT THE PROGRAM This brochure presents a comprehensive\u00a0overview of how SPSS and OpenAI applications\u00a0can jointly enhance research quality, automate\u00a0analytics, and\u00a0 improve decision\u2011making\u00a0in\u00a0academia, business, and industry.\u00a0 BENEFITS OF SPSS &amp; AI Faster analysis High accuracy in interpretation [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":15093,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-15941","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages\/15941"}],"collection":[{"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/comments?post=15941"}],"version-history":[{"count":15,"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages\/15941\/revisions"}],"predecessor-version":[{"id":15963,"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages\/15941\/revisions\/15963"}],"up":[{"embeddable":true,"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages\/15093"}],"wp:attachment":[{"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/media?parent=15941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}