{"id":6398,"date":"2026-08-10T09:32:56","date_gmt":"2026-08-10T09:32:56","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-r-programming-for-data-science-practise-250-exercises-part2-2024-8\/"},"modified":"2026-08-10T09:32:56","modified_gmt":"2026-08-10T09:32:56","slug":"udemy-r-programming-for-data-science-practise-250-exercises-part2-2024-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-r-programming-for-data-science-practise-250-exercises-part2-2024-8\/","title":{"rendered":"Udemy \u2013 R Programming for Data Science- Practise 250 Exercises-Part2 2024-8"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"5:1-5:405\"><span style=\"vertical-align: inherit\">R Programming for Data Science Course \u2013 Practice 250 Exercises \u2013 Part 2. If you\u2019re ready to take your R programming skills to the next level, this course is the ultimate hands-on experience you\u2019ve been waiting for. Designed for data enthusiasts, future data scientists, and R programmers, this course brings you 250 new challenges that will deepen your understanding of R programming, data analysis, and machine learning. Whether you continue from Part 1 or just start here, this course promises to engage, challenge, and improve your skills in real-world applications of R. Explore problem-solving scenarios, practice advanced techniques, and get ready to advance your career in data science!<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"9:1-9:96\"><span style=\"vertical-align: inherit\">What you will learn in the course R Programming for Data Science \u2013 Practice 250 Exercises \u2013 Part 2<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"11:1-19:0\">\n<li data-sourcepos=\"11:1-11:138\"><span style=\"vertical-align: inherit\">Build a solid foundation in R programming by solving a variety of exercises and reinforce key concepts such as data types, control structures, and functions.<\/span><\/li>\n<li data-sourcepos=\"12:1-12:132\"><span style=\"vertical-align: inherit\">Get hands-on experience with popular R libraries such as dplyr, ggplot2, tidyverse, and caret to effectively manipulate and visualize data.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:110\"><span style=\"vertical-align: inherit\">Apply data manipulation techniques to clean, transform, and organize real-world data using R.<\/span><\/li>\n<li data-sourcepos=\"14:1-14:125\"><span style=\"vertical-align: inherit\">Improve your data visualization skills by creating insightful, professional-quality graphs with ggplot2 and other visualization libraries.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:98\"><span style=\"vertical-align: inherit\">Strengthen your statistical analysis skills by performing descriptive statistics, hypothesis testing, and regression analysis in R.<\/span><\/li>\n<li data-sourcepos=\"16:1-16:151\"><span style=\"vertical-align: inherit\">Explore the various datasets available in R and use them to train machine learning algorithms such as linear regression, classification, and clustering.<\/span><\/li>\n<li data-sourcepos=\"17:1-17:105\"><span style=\"vertical-align: inherit\">Debug and optimize your R code by identifying common errors and applying best practices for efficient coding.<\/span><\/li>\n<li data-sourcepos=\"18:1-19:0\"><span style=\"vertical-align: inherit\">Prepare for real-world data science challenges by solving exercises that reflect common tasks in data analysis and machine learning projects.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"20:1-20:30\"><span style=\"vertical-align: inherit\">This course is suitable for people who<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"22:1-26:0\">\n<li data-sourcepos=\"22:1-22:137\"><span style=\"vertical-align: inherit\">Future Data Scientists: Those looking to build a strong foundation in R programming while solving real-world data science problems.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:169\"><span style=\"vertical-align: inherit\">Students and Academics: Students studying data science or related fields who want hands-on practice with R and its various libraries and datasets.<\/span><\/li>\n<li data-sourcepos=\"24:1-24:200\"><span style=\"vertical-align: inherit\">Professionals in data-driven roles: People working in fields such as business analytics, finance, healthcare, or marketing who want to improve their data analysis skills using R.<\/span><\/li>\n<li data-sourcepos=\"25:1-26:0\"><span style=\"vertical-align: inherit\">Self-learners and coding enthusiasts: Those interested in learning R programming through hands-on exercises and improving their coding skills on data science projects.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Specifications of the R Programming for Data Science course \u2013 Practice 250 Exercises \u2013 Part 2<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/r-programming-for-data-science-practise-250-exercises-part2\/?couponCode=24T1MT101824\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer:&nbsp; <\/span><a class=\"ud-btn ud-btn-large ud-btn-link ud-heading-md ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/sheik-jamil-ahmed\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Sheikh Jamil Ahmed<\/span><\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 3 hours and 0 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 503<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Headlines of the course on 2024\/9<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-937266 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/10\/R-Programming-for-Data-Science-Practise-250-Exercises-Part2-1.jpg\" alt=\"R Programming for Data Science - Practice 250 Exercises - Part2\" width=\"884\" height=\"989\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites of the course R Programming for Data Science- Practice 250 Exercises-Part2<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Basic understanding of R programming: Familiarity with R syntax, variables, data types, and basic functions.<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Introduction to data structures in R: Knowledge of common data structures like vectors, data frames, and lists.<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Passion to become Data Scientist<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Internet connection and laptop<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-937267 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/10\/R-Programming-for-Data-Science-Practise-250-Exercises-Part2.jpg\" alt=\"R Programming for Data Science - Practice 250 Exercises - Part2\" width=\"873\" height=\"383\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample video of the course<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; 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width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div dir=\"ltr\" style=\"text-align: left\">\n<h3><span style=\"vertical-align: inherit\">Installation guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite Player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitle: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 1080p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_R_Programming_for_Data_Science-Practise_250_Exercises-Part2_2024-8_Downloadly.ir.rar?nocache=1786107070\"><span style=\"vertical-align: inherit\">Download file \u2013 539 MB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">539 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description R Programming for Data Science Course \u2013 Practice 250 Exercises \u2013 Part 2. 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