{"id":15490,"date":"2025-04-29T13:20:12","date_gmt":"2025-04-29T07:50:12","guid":{"rendered":"https:\/\/bim.edu\/index\/?page_id=15490"},"modified":"2025-04-29T13:49:30","modified_gmt":"2025-04-29T08:19:30","slug":"the-magic-of-r-analytics-using-rstudio","status":"publish","type":"page","link":"https:\/\/bim.edu\/index\/mdp\/bim-knowledge-series\/the-magic-of-r-analytics-using-rstudio\/","title":{"rendered":"The Magic of R Analytics using RStudio"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"15490\" class=\"elementor elementor-15490\" 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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>4 weeks (Monday, Wednesday &amp; Friday)<strong><br \/>Date:<\/strong> Starting from May 12, 2025<br \/><strong>Time:<\/strong> 7 pm to 9 pm<\/p><h4>WHAT YOU&#8217;LL LEARN FROM THIS WORKSHOP<\/h4><ul><li>Confidently navigate the RStudio interface, including console, script editor, environment, and plots pane<\/li><li>Import and export datasets (CSV, Excel, SPSS, etc.) directly through RStudio<\/li><li>Conduct descriptive statistics and statistical tests (e.g., T-tests, ANOVA) within RStudio<\/li><li>Use RStudio to detect outliers, test for normality, and create subsets of data<\/li><li>Generate a wide variety of data visualizations (bar plots, pie charts, boxplots, advanced charts) using R code in RStudio<\/li><li>Build and interpret correlation and regression models using RStudio\u2019s tools<\/li><li>Explore text mining and analysis, visualizing textual patterns directly within RStudio<\/li><li>Create animated, dynamic visualizations using RStudio\u2019s support for advanced plotting libraries<\/li><li>Get started with time series analysis using RStudio\u2019s script-based workflow<\/li><li>Discover creative R programming techniques (&#8220;the magic&#8221;) to boost your productivity in RStudio<\/li><\/ul><h4>KEY TOPICS COVERED<\/h4><ul><li><strong>Session 1:<br \/>Introduction to R software and RStudio, do and dont\u2019s of R Analytics<\/strong><br \/><ul><li>Case study 1: Using R as Calculator, Import and Export di\u001derent types of Datasets in RStudio<\/li><\/ul><\/li><li><strong>Session 2:<br \/>Concept of R Packages, Installation of Packages, Usage of Packages, Functions available in Packages<br \/><\/strong><ul><li>Case study 2: Data management in RStudio<\/li><\/ul><\/li><li><strong style=\"font-style: inherit; background-color: var(--ast-global-color-5);\">Session 3:<br \/>Data Analysis in RStudio: Descriptive analysis, Test of Normality, Outlier testing, T- Test, Subset creation, One Way Anova Test<br \/><\/strong><\/li><li><strong style=\"font-size: 16px;\">Session 4:<br \/>Data Visualization using R, Bar Graphs, Pie Charts, Line charts, Distribution Charts, Box Plot Charts, Advance Charts<br \/><\/strong><\/li><li><strong style=\"font-size: 16px;\">Session 5:<br \/>Correlation and Regression Analysis using R<br \/><\/strong><\/li><li><strong style=\"font-size: 16px;\">Session 6:<br \/><\/strong><strong>Text Mining and Analysis using R<\/strong><\/li><li><strong style=\"font-size: 16px;\">Session 7:<br \/>Dynamic Animated Data Visualization in R<br \/><\/strong><\/li><li><strong>Session 8:<br \/>Basic Time Series Analysis Using R<br \/><\/strong><\/li><li><strong>Session 9:<br \/>Magic of R programming<br \/><\/strong><\/li><li><strong>Session 10:<br \/>Secret professional tips for Using R for consulting and making money<\/strong><\/li><\/ul><h4>WHO SHOULD ATTEND?<\/h4><ul><li>Researchers and Academicians<\/li><li>PhD Students in any discipline<\/li><li>Data Scientists &amp; Policy Makers<\/li><li>Librarians and Information Specialists<\/li><\/ul><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.1199\/-<\/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-77b8403 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"77b8403\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/forms.gle\/NUePDCt1rWmuEtmy9\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-circle-right\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Click to Pay<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\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: 4 weeks (Monday, Wednesday &amp; Friday)Date: Starting from May 12, 2025Time: 7 pm to 9 pm WHAT YOU&#8217;LL LEARN FROM THIS WORKSHOP Confidently navigate the RStudio interface, including console, script editor, environment, and plots pane Import and export datasets (CSV, Excel, SPSS, etc.) directly through RStudio Conduct descriptive statistics and statistical [&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-15490","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages\/15490"}],"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=15490"}],"version-history":[{"count":13,"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages\/15490\/revisions"}],"predecessor-version":[{"id":15507,"href":"https:\/\/bim.edu\/index\/wp-json\/wp\/v2\/pages\/15490\/revisions\/15507"}],"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=15490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}