{"id":226591,"date":"2020-03-06T11:05:45","date_gmt":"2020-03-06T05:35:45","guid":{"rendered":"https:\/\/www.scconline.com\/blog\/?p=226591"},"modified":"2020-03-05T22:10:22","modified_gmt":"2020-03-05T16:40:22","slug":"gnlu-two-days-workshop-on-applied-statistics-using-r-programming-language-for-legal-studies","status":"publish","type":"post","link":"https:\/\/www.scconline.com\/blog\/post\/2020\/03\/06\/gnlu-two-days-workshop-on-applied-statistics-using-r-programming-language-for-legal-studies\/","title":{"rendered":"GNLU | Two Days Workshop on Applied Statistics using \u2018R\u2019 Programming language for Legal Studies"},"content":{"rendered":"
GNLU Centre for Law and Economics is organizing\u00a0Two Days Workshop on Applied Statistics using ‘R’ Programming language for legal studies<\/b>\u00a0on 14th and 15th March, 2020.<\/span><\/div>\n
\u00a0<\/span><\/div>\n
About the Course<\/span><\/u><\/b><\/div>\n
This workshop is designed to offer an understanding on Advanced Applied Statistics for Law students to analyze summarize numerical and categorical data obtained from surveys, experiments, etc. The topics included are about different data types, measures of location, variability, shape, association between variables & predictions. The participants are expected to learn the fundamental concepts of estimation, confidence intervals, hypothesis testing which can be applied for appropriate tests like population mean, proportion, variance and difference, independence and goodness to fit. R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. These programs are used by market researchers, health researchers, survey companies, government entities, academic researchers, marketing organizations, data miners and many more.<\/span><\/div>\n
\u00a0<\/span><\/div>\n
About the Resource Persons<\/span><\/u><\/b><\/div>\n
Dr. Dhaval Maheta,\u00a0<\/b>Assistant Professor, Department of\u00a0\u00a0Business and Industrial Management, Veer Narmad South Gujarat University, Surat
\nDr. Hitesh Parmar,\u00a0<\/b>Assistant Professor,\u00a0Department of Business Management (MBA)\u00a0Sardar Patel University, Vallabh Vidyanagar
\n<\/span><\/div>\n
\u00a0<\/span><\/u><\/b><\/div>\n
Fee structure<\/span><\/u><\/b><\/div>\n
GNLU Participants- Rs 1000\/-<\/span><\/div>\n
External Participants- Rs 1500\/-<\/span><\/div>\n
\u00a0<\/span><\/div>\n
Link for Payment has been attached\u00a0here<\/a>.<\/b><\/span><\/div>\n
Link for Registration can be found\u00a0here<\/a>.<\/b><\/span><\/div>\n
Guidelines can be accessed\u00a0here<\/a>.<\/b><\/span><\/div>\n
\u00a0<\/span><\/div>\n
Last date of registration<\/u>:\u00a012th March 2020\u00a0(or until seats are available)<\/b>.<\/span><\/div>\n
\u00a0<\/span><\/div>\n
For any queries please do not hesitate to shoot us an email at\u00a0cle@gnlu.ac<\/a>\u00a0or\u00a0ptiwari@gnlu.ac.in<\/a><\/span><\/div>\n
You may also contact Mr. Hatim Hussain (+919601027860).<\/span><\/div>\n
\u00a0<\/span><\/div>\n
For brochure, refer R_2020_Brochure<\/a><\/b><\/span><\/div>\n","protected":false},"excerpt":{"rendered":"

Reported by Hrithik Khurana<\/p>\n","protected":false},"author":8808,"featured_media":212377,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[6,22],"tags":[],"class_list":["post-226591","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lawschoolnews","category-others"],"yoast_head":"\nGNLU | Two Days Workshop on Applied Statistics using \u2018R\u2019 Programming language for Legal Studies | SCC Times<\/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:\/\/www.scconline.com\/blog\/post\/2020\/03\/06\/gnlu-two-days-workshop-on-applied-statistics-using-r-programming-language-for-legal-studies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" 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