{"id":50830,"date":"2023-03-22T07:16:24","date_gmt":"2023-03-22T07:16:24","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/cs3361-data-science-laboratory-syllabus-for-cyber-security-2021-regulation\/"},"modified":"2023-03-22T07:16:24","modified_gmt":"2023-03-22T07:16:24","slug":"cs3361-data-science-laboratory-syllabus-for-cyber-security-2021-regulation","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/cs3361-data-science-laboratory-syllabus-for-cyber-security-2021-regulation\/","title":{"rendered":"CS3361: Data Science Laboratory syllabus for Cyber Security 2021 regulation"},"content":{"rendered":"

Data Science Laboratory detailed syllabus for Cyber Security (Cyber Security) for 2021 regulation curriculum has been taken from the Anna University<\/a> official website and presented for the Cyber Security 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 Cyber Security 3rd Sem scheme and its subjects, do visit Cyber Security 3rd Sem 2021 regulation scheme<\/a>. The detailed syllabus of data science laboratory is as follows. <\/p>\n

Data Science Laboratory<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<ul>\n<li>To understand the python libraries for data science<\/li>\n<li>To understand the basic Statistical and Probability measures for data science.<\/li>\n<li>To learn descriptive analytics on the benchmark data sets.<\/li>\n<li>To apply correlation and regression analytics on standard data sets.<\/li>\n<li>To present and interpret data using visualization packages in Python.<\/li>\n<\/ul>\n<h4>List of Experiments:<\/h4>\n<ol>\n<li>Download, install and explore the features of NumPy, SciPy, Jupyter, Statsmodels and Pandas packages.<\/li>\n<li>Working with Numpy arrays<\/li>\n<li>Working with Pandas data frames<\/li>\n<li>Reading data from text files, Excel and the web and exploring various commands for doing descriptive analytics on the Iris data set.<\/li>\n<li>Use the diabetes data set from UCI and Pima Indians Diabetes data set for performing the following:\n<ol type=\"a\">\n<li>Univariate analysis: Frequency, Mean, Median, Mode, Variance, Standard Deviation, Skewness and Kurtosis.<\/li>\n<li>Bivariate analysis: Linear and logistic regression modeling<\/li>\n<li>Multiple Regression analysis<\/li>\n<li>Also compare the results of the above analysis for the two data sets.<\/li>\n<\/ol>\n<\/li>\n<li>Apply and explore various plotting functions on UCI data sets.\n<ol type=\"a\">\n<li>Normal curves<\/li>\n<li>Density and contour plots<\/li>\n<li>Correlation and scatter plots<\/li>\n<li>Histograms<\/li>\n<li>Three dimensional plotting<\/li>\n<\/ol>\n<\/li>\n<li>Visualizing Geographic Data with Basemap<\/li>\n<\/ol>\n<h4>List of Equipments:(30 Students Per Batch)<\/h4>\n<p> Tools: Python, Numpy, Scipy, Matplotlib, Pandas, statmodels, seaborn, plotly, bokeh<\/p>\n<p><i>Note:<\/i>\n <\/p>\n<p> Example data sets like: UCI, Iris, Pima Indians Diabetes etc.<\/p>\n<h4>Course Outcomes:<\/h4>\n<p> At the end of this course, the students will be able to:<\/p>\n<ol>\n<li>Make use of the python libraries for data science<\/li>\n<li>Make use of the basic Statistical and Probability measures for data science.<\/li>\n<li>Perform descriptive analytics on the benchmark data sets.<\/li>\n<li>Perform correlation and regression analytics on standard data sets<\/li>\n<li>Present and interpret data using visualization packages in Python.<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all other subjects of Cyber Security, 2021 regulation curriculum do visit <a class=\"rank-math-link\" href=\"..\/category\/cyber-security+3rd-sem\">Cyber Security 3rd Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Cyber Security results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University Cyber Security all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Science Laboratory detailed syllabus for Cyber Security (Cyber Security) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the Cyber Security students. […]<\/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":[46,158],"tags":[],"class_list":["post-50830","post","type-post","status-publish","format-standard","hentry","category-3rd-sem","category-cyber-security"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/50830","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=50830"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/50830\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=50830"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=50830"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=50830"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}