{"id":10051,"date":"2026-08-10T10:14:23","date_gmt":"2026-08-10T10:14:23","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/datacamp-time-series-in-r-2025-5\/"},"modified":"2026-08-10T10:14:23","modified_gmt":"2026-08-10T10:14:23","slug":"datacamp-time-series-in-r-2025-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/datacamp-time-series-in-r-2025-5\/","title":{"rendered":"Datacamp \u2013 Time Series in R 2025-5"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Time Series in R, Learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data. Learn how to extract meaningful insights from time series data in R with this six-course track. Explore how to model, forecast, and visualize time series data using R programming. Time series are all around us, from server logs to high-frequency financial data. With this track, you\u2019ll learn how to manipulate time series data, how to use R for time series analysis, and how time series modeling works. You\u2019ll also cover time series forecasting in R, learning how to make predictions about the future based on data. After you finish learning how to visualize time series data, you\u2019ll complete a case study using real data and the R skills you\u2019ve developed so far. By the time you complete this track, you\u2019ll have the confidence to work with your own time series data in R.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.<\/li>\n<li>Learn the core techniques necessary to extract meaningful insights from time series data.<\/li>\n<li>Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.<\/li>\n<li>Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.<\/li>\n<li>Learn how to visualize time series in R, then practice with a stock-picking case study<\/li>\n<\/ul>\n<h3>Who this course is for<\/h3>\n<div id=\"fCzVYKnjPJ8MJmdLPUEfa-user-message\" role=\"article\" data-tabster=\"{&quot;groupper&quot;:{&quot;tabbability&quot;:2},&quot;focusable&quot;:{}}\" aria-labelledby=\"fCzVYKnjPJ8MJmdLPUEfa-user-message\">\n<div>\n<div data-content=\"user-message\">\n<ul>\n<li>Jobs in financial markets, activities that involve critical infrastructure or utilities, and transport and logistics can all benefit from this Track<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<h3>Specificatoin of Time Series in R<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.datacamp.com\/tracks\/time-series-with-r\" target=\"_blank\" rel=\"noopener\">Datacamp<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/david-s.-matteson\">David S. Matteson<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Number of Course : 6<\/li>\n<li>Duration : 25 hours to complete the course<\/li>\n<\/ul>\n<h3>Content of Time Series in R<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-980959\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/05\/Time-Series-in-R.c.jpeg\" alt=\"Time Series in R\" width=\"764\" height=\"1016\"><\/p>\n<h3>Requirements<\/h3>\n<ul>\n<li>This track is suitable for beginners. No prior knowledge is necessary, but if you have some basic familiarity with R programming, it will deepen your understanding of time series analysis<\/li>\n<\/ul>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-980960\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/05\/Time-Series-in-R.d.jpeg\" alt=\"Time Series in R\" width=\"581\" height=\"233\"><\/p>\n<h3>Sample Clip<\/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; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-163281-1\"><video class=\"wp-video-shortcode\" id=\"video-163281-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Time_Series_in_R_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Time_Series_in_R_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Time_Series_in_R_Downloadly.ir.mp4?nocache=1786136989826\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Time_Series_in_R_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; 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<h3>Installation Guide<\/h3>\n<p>Extract the files and watch with your favorite player<\/p>\n<p>Subtitle : English<\/p>\n<p>Quality: 720p<\/p>\n<h3>Download Links<\/h3>\n<p><strong>Manipulating Time Series Data in R<\/strong><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Datacamp_Manipulating_Time_Series_Data_in_R_2025-5_Downloadly.ir.rar?nocache=1786136989\">Download \u2013 155 MB<\/a><\/p>\n<p><strong>Time Series Analysis in R<\/strong><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Datacamp_Time_Series_Analysis_in_R_2025-5_Downloadly.ir.rar?nocache=1786136989\">Download \u2013 811 MB<\/a><\/p>\n<p><strong>ARIMA Models in R<\/strong><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Datacamp_ARIMA_Models_in_R_2025-5_Downloadly.ir.rar?nocache=1786136989\">Download \u2013 409 MB<\/a><\/p>\n<p><strong>Forecasting in R<\/strong><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Datacamp_Forecasting_in_R_2025-5_Downloadly.ir.rar?nocache=1786136989\">Download \u2013 1002 MB<\/a><\/p>\n<p><strong>Visualizing Time Series Data in R<\/strong><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Datacamp_Visualizing_Time_Series_Data_in_R_2025-5_Downloadly.ir.rar?nocache=1786136989\">Download \u2013 480 MB<\/a><\/p>\n<p><strong>Case Study: Analyzing City Time Series Data in R<\/strong><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Datacamp_Case_Study_Analyzing_City_Time_Series_Data_in_R_2025-5_Downloadly.ir.rar?nocache=1786136989\">Download \u2013 312 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>3.09 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Time Series in R, Learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series da<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[85662,85663,85664,85665,85666,85667,85668,85669,85670],"class_list":["post-10051","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-datacamp-time-series-in-r","dgi_tag-david-s-matteson","dgi_tag-download-time-series-in-r","dgi_tag-free-download-time-series-in-r","dgi_tag-free-time-series-in-r","dgi_tag-time-series-in-r","dgi_tag-time-series-in-r-download","dgi_tag-time-series-in-r-free","dgi_tag-time-series-in-r-free-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/10051","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/10051\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=10051"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=10051"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=10051"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}