{"id":7991,"date":"2026-08-10T09:50:39","date_gmt":"2026-08-10T09:50:39","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-r-programming-for-data-science-practise-250-exercises-part1-2024-11\/"},"modified":"2026-08-10T09:50:39","modified_gmt":"2026-08-10T09:50:39","slug":"udemy-r-programming-for-data-science-practise-250-exercises-part1-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-r-programming-for-data-science-practise-250-exercises-part1-2024-11\/","title":{"rendered":"Udemy \u2013 R Programming for Data Science- Practise 250 Exercises-Part1 2024-11"},"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=\"5:1-5:293\"><span style=\"vertical-align: inherit\">R Programming for Data Science \u2013 Practise 250 Exercises \u2013 Part 1. This course is designed to help you master R programming through 250 practical and hands-on exercises. Whether you\u2019re a beginner or looking to brush up on your R skills, this course covers a wide range of topics that are essential for data science.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"7:1-7:40\"><span style=\"vertical-align: inherit\">What you will learn in this course:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"9:1-18:0\">\n<li data-sourcepos=\"9:1-9:226\"><span style=\"vertical-align: inherit\">Learn the fundamentals of R programming: Start by understanding the core concepts of R programming, including variables, data types, and basic syntax. These exercises will give you the foundation you need to tackle more advanced topics later in the course.<\/span><\/li>\n<li data-sourcepos=\"10:1-10:251\"><span style=\"vertical-align: inherit\">Master data cleaning and transformation: Gain hands-on experience in data management using popular libraries like dplyr and tidyverse. Learn to clean, transform, and organize real-world data sets, preparing them for analysis.<\/span><\/li>\n<li data-sourcepos=\"11:1-11:230\"><span style=\"vertical-align: inherit\">Visualize data with ggplot2: Data visualization is very important in data science. In this section, you will work with ggplot2 to create informative and engaging graphs. This will help you gain more effective insights from your data.<\/span><\/li>\n<li data-sourcepos=\"12:1-12:211\"><span style=\"vertical-align: inherit\">Explore statistical analysis techniques: Get hands-on practice with statistics in R and learn how to calculate mean, median, variance, and standard deviation. You\u2019ll also perform hypothesis testing and regression analysis.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:248\"><span style=\"vertical-align: inherit\">Apply Machine Learning Algorithms: Work on basic machine learning techniques such as linear regression, classification, and clustering using real datasets. This section will help you understand how to apply machine learning models in R.<\/span><\/li>\n<li data-sourcepos=\"14:1-14:269\"><span style=\"vertical-align: inherit\">Practice debugging and optimizing code: As you progress, you\u2019ll face coding challenges that will sharpen your debugging and optimization skills. Learn how to identify and fix errors in your code while ensuring it runs efficiently.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:219\"><span style=\"vertical-align: inherit\">Work with real datasets: Throughout the course, you will work with various real datasets available in R. These datasets, from health statistics to economic data, present a wide range of challenges to solve.<\/span><\/li>\n<li data-sourcepos=\"16:1-16:213\"><span style=\"vertical-align: inherit\">Test your knowledge with challenging exercises: Each exercise is designed to test your knowledge and improve your understanding of R. By the end of the course, you will be equipped to use R programming in real-world data science projects.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"19:1-19:31\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"21:1-26:0\">\n<li data-sourcepos=\"21:1-21:95\"><span style=\"vertical-align: inherit\">Aspiring data scientists looking to strengthen their R programming skills through hands-on practice.<\/span><\/li>\n<li data-sourcepos=\"22:1-22:126\"><span style=\"vertical-align: inherit\">R programmers looking to improve their problem-solving abilities and apply advanced R libraries to real-world data analysis.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:110\"><span style=\"vertical-align: inherit\">Data science students and professionals who want to increase their understanding of data manipulation, visualization, and machine learning in R.<\/span><\/li>\n<li data-sourcepos=\"24:1-24:139\"><span style=\"vertical-align: inherit\">Learners and self-taught enthusiasts who are interested in using R to solve diverse data challenges using real-world datasets.<\/span><\/li>\n<li data-sourcepos=\"25:1-26:0\"><span style=\"vertical-align: inherit\">Anyone preparing for job interviews or data science certifications that require proficiency in R programming and data analysis techniques.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course details: R Programming for Data Science \u2013 Practice 250 Exercises \u2013 Part 1<\/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-part1\/?couponCode=NEWYEARCAREER\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor:&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\">Sheik 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: 2 hours and 55 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 507<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-955377 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/01\/R-Programming-for-Data-Science-Practise-250-Exercises-Part1-1.png\" alt=\"R Programming for Data Science - Practice 250 Exercises - Part1\" width=\"882\" height=\"988\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites for the course R Programming for Data Science- Practice 250 Exercises-Part1<\/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 programming concepts<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Introductory knowledge of R programming<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Familiarity with basic statistics and data analysis<\/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-955378 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/01\/R-Programming-for-Data-Science-Practise-250-Exercises-Part1.png\" alt=\"R Programming for Data Science - Practice 250 Exercises - Part1\" width=\"897\" height=\"416\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample course video<\/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\">Subtitles: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/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:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_R_Programming_for_Data_Science-Practise_250_Exercises-Part1_2024-11_Downloadly.ir.rar?nocache=1786111078\"><span style=\"vertical-align: inherit\">Download file \u2013 297 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\">297 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description R Programming for Data Science \u2013 Practise 250 Exercises \u2013 Part 1. 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