{"id":14341,"date":"2026-08-10T11:12:27","date_gmt":"2026-08-10T11:12:27","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/linkedin-python-functions-for-data-science-2026-1\/"},"modified":"2026-08-10T11:12:27","modified_gmt":"2026-08-10T11:12:27","slug":"linkedin-python-functions-for-data-science-2026-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/linkedin-python-functions-for-data-science-2026-1\/","title":{"rendered":"LinkedIn \u2013 Python Functions for Data Science 2026-1"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\">Description<\/h2>\n<p dir=\"ltr\">Python Functions for Data Science is a course on the power of Python functions for data science workflows published by LinkedIn Online Academy. You\u2019ll learn how to write reusable, efficient, and modular functions to clean, process, and analyze data, and how to use Python\u2019s built-in functions alongside libraries like NumPy, pandas, and matplotlib for common data tasks. The course covers key topics such as defining custom functions, handling arguments and return values, working with lambda functions, applying functions to datasets, and using functional programming concepts to transform data.<\/p>\n<p dir=\"ltr\">Get to know the core Python tools that support real-world analysis and decision-making, and focus on making your code more readable and reusable. Manipulate data with NumPy and pandas. Master the art of visualization using matplotlib and seaborn to identify trends and relationships. Discover how to effectively aggregate, transform, and visualize your data to extract meaningful insights. Gain insight into common pitfalls and mistakes when using functions, and ensure a smooth workflow in your data science projects. This course is perfect for data scientists looking to improve their skills with Python\u2019s powerful functions.<\/p>\n<h3 dir=\"ltr\">What you will learn in Python Functions for Data Science:<\/h3>\n<ul dir=\"ltr\">\n<li>Python Essentials<\/li>\n<li>&nbsp;NumPy and SciPy Basics<\/li>\n<li>&nbsp;Pandas for Data Manipulation<\/li>\n<li>&nbsp;Visualization Essentials<\/li>\n<li>&nbsp;And\u2026<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Course specifications<\/h3>\n<p dir=\"ltr\">Publisher: <a href=\"https:\/\/href.li\/?https:\/\/www.linkedin.com\/learning\/python-functions-for-data-science-28584261\" target=\"_blank\" rel=\"noopener\"> LinkedIn <\/a><br \/>Instructors: <a dir=\"ltr\" style=\"text-align: right\" href=\"https:\/\/downloadly.net\/tag\/madecraft\/\" target=\"_blank\" rel=\"noopener\">Madecraft<\/a><br \/>Language: English<br \/>Level: Intermediate<br \/>Number of Lessons: 25<br \/>Duration: 1h 35m<\/p>\n<h3 dir=\"ltr\">Course topics<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1033752\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/02\/Python-Functions-for-Data-Science-Co.png\" alt=\"Python Functions for Data Science Content\" width=\"498\" height=\"492\"><\/p>\n<h3 dir=\"ltr\">Python Functions for Data Science Prerequisites<\/h3>\n<p dir=\"ltr\">None<\/p>\n<h3 dir=\"ltr\">Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1033753\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/02\/Python-Functions-for-Data-Science.png\" alt=\"Python Functions for Data Science\" width=\"1126\" height=\"357\"><\/p>\n<h3 dir=\"ltr\">Python Functions for Data Science introduction video<\/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-192811-1\"><video class=\"wp-video-shortcode\" id=\"video-192811-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_Functions_for_Data_Science_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_Functions_for_Data_Science_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_Functions_for_Data_Science_Downloadly.ir.mp4?nocache=1786177998315\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_Functions_for_Data_Science_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 dir=\"ltr\"><span class=\"notranslate\">Installation guide<\/span><\/h3>\n<p dir=\"ltr\">After Extract, watch with your favorite Player.<\/p>\n<p dir=\"ltr\">English subtitle<\/p>\n<p dir=\"ltr\">Quality: 720p<\/p>\n<h3 dir=\"ltr\">Downloadly link<\/h3>\n<p dir=\"ltr\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/LinkedIn_Python_Functions_for_Data_Science_2026-1_Downloadly.ir.rar?nocache=1786177997\">Download \u2013 145 MB<\/a><\/p>\n<h3 dir=\"ltr\">Rapidgator link<\/h3>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/f0dbc771305ec91847cd644221b562ec\/LinkedIn_Python_Functions_for_Data_Science_2026-1_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 145 MB<\/a><\/p>\n<h5 dir=\"ltr\">File password (s): <a>www.downloadly.ir<\/a><\/h5>\n<h3 dir=\"ltr\">Size<\/h3>\n<p dir=\"ltr\">145 MB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Python Functions for Data Science is a course on the power of Python functions for data science workflows published by LinkedIn Online Academy. You\u2019<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[116887,116888,116889,116890,32479,116891,116892,116893,116894],"class_list":["post-14341","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-linkedin-python-functions-for-data-science","dgi_tag-linkedin-python-functions-for-data-science-download","dgi_tag-linkedin-python-functions-for-data-science-free","dgi_tag-linkedin-python-functions-for-data-science-free-download","dgi_tag-madecraft","dgi_tag-python-functions-for-data-science","dgi_tag-python-functions-for-data-science-download","dgi_tag-python-functions-for-data-science-free","dgi_tag-python-functions-for-data-science-free-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/14341","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\/14341\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=14341"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=14341"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=14341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}