{"id":4981,"date":"2026-08-10T09:18:30","date_gmt":"2026-08-10T09:18:30","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-with-python-and-machine-learning-for-beginners-2024-6\/"},"modified":"2026-08-10T09:18:30","modified_gmt":"2026-08-10T09:18:30","slug":"udemy-data-science-with-python-and-machine-learning-for-beginners-2024-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-with-python-and-machine-learning-for-beginners-2024-6\/","title":{"rendered":"Udemy \u2013 Data Science with Python and Machine Learning For Beginners 2024-6"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span style=\"vertical-align: inherit\">Data Science with Python and Machine Learning For Beginners course. In today\u2019s data-driven world, the ability to use and interpret data is not only a valuable skill, but a critical advantage. This comprehensive data science course provides a transformative learning experience for you, whether you are an aspiring data scientist, a seasoned professional looking to expand your skills, or an entrepreneur aiming to use data for strategic decision-making.<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<p data-sourcepos=\"7:1-7:375\"><span style=\"vertical-align: inherit\">The course begins with a review of the basics of data science and introduces you to its principles and importance in various industries. You will understand the difference between data science, data engineering and data analytics and clearly understand the role and application of each. Using case studies and real-life examples, you\u2019ll see how data science is driving innovation and influencing decision-making processes across sectors.<\/span><\/p>\n<h3 class=\"\" data-sourcepos=\"9:1-9:27\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul data-sourcepos=\"11:1-12:1\">\n<li data-sourcepos=\"11:1-11:29\"><span style=\"vertical-align: inherit\">Understanding the fundamental concepts of data science<\/span><\/li>\n<li data-sourcepos=\"12:1-12:1\"><span style=\"vertical-align: inherit\">Understanding the applications and impact of data science on industry<\/span><\/li>\n<li data-sourcepos=\"13:1-13:58\"><span style=\"vertical-align: inherit\">Proficiency in Python and R programming languages \u200b\u200bfor data analysis<\/span><\/li>\n<li data-sourcepos=\"14:1-14:83\"><span style=\"vertical-align: inherit\">Using essential data science libraries such as Pandas, NumPy, Matplotlib and Seaborn<\/span><\/li>\n<li data-sourcepos=\"15:1-15:58\"><span style=\"vertical-align: inherit\">Installing Python and setting up the development environment on Windows and macOS<\/span><\/li>\n<li data-sourcepos=\"16:1-16:49\"><span style=\"vertical-align: inherit\">Understanding the concept of virtual environments and creating and managing them<\/span><\/li>\n<li data-sourcepos=\"17:1-17:67\"><span style=\"vertical-align: inherit\">Getting to know Jupyter Notebook and using it for interactive data analysis<\/span><\/li>\n<li data-sourcepos=\"18:1-18:58\"><span style=\"vertical-align: inherit\">Explore and manipulate data using Pandas DataFrames<\/span><\/li>\n<li data-sourcepos=\"19:1-19:55\"><span style=\"vertical-align: inherit\">Create and manipulate Pandas Series for efficient data management<\/span><\/li>\n<li data-sourcepos=\"20:1-20:1\"><span style=\"vertical-align: inherit\">Load data into Pandas and perform initial data validation and cleaning<\/span><\/li>\n<li data-sourcepos=\"21:1-21:48\"><span style=\"vertical-align: inherit\">Data transformation and analysis using Pandas methods<\/span><\/li>\n<li data-sourcepos=\"22:1-22:71\"><span style=\"vertical-align: inherit\">Data visualization using Matplotlib and Seaborn for insight and reporting<\/span><\/li>\n<li data-sourcepos=\"23:1-23:45\"><span style=\"vertical-align: inherit\">Definition of machine learning and its application in data science<\/span><\/li>\n<li data-sourcepos=\"24:1-24:54\"><span style=\"vertical-align: inherit\">Understand supervised, unsupervised and reinforcement learning techniques<\/span><\/li>\n<li data-sourcepos=\"25:1-25:105\"><span style=\"vertical-align: inherit\">Data preprocessing for machine learning models, including handling of missing values \u200b\u200band coding of grouping variables<\/span><\/li>\n<li data-sourcepos=\"26:1-26:40\"><span style=\"vertical-align: inherit\">Building, training and evaluating machine learning models using scikit-learn<\/span><\/li>\n<li data-sourcepos=\"27:1-27:96\"><span style=\"vertical-align: inherit\">Measure model performance using metrics such as accuracy, confusion matrix, and classification report<\/span><\/li>\n<li data-sourcepos=\"28:1-29:0\"><span style=\"vertical-align: inherit\">Deploying machine learning models for real-time predictions and understanding model interpretation techniques<\/span><\/li>\n<\/ul>\n<h3 class=\"\" data-sourcepos=\"30:1-30:30\"><span style=\"vertical-align: inherit\">This course is suitable for people who<\/span><\/h3>\n<ul data-sourcepos=\"32:1-36:21\">\n<li data-sourcepos=\"32:1-32:26\"><span style=\"vertical-align: inherit\">Future data scientists<\/span><\/li>\n<li data-sourcepos=\"33:1-33:28\"><span style=\"vertical-align: inherit\">Students and graduates<\/span><\/li>\n<li data-sourcepos=\"34:1-34:42\"><span style=\"vertical-align: inherit\">Professionals who are changing career paths<\/span><\/li>\n<li data-sourcepos=\"35:1-35:26\"><span style=\"vertical-align: inherit\">Data analysts and engineers<\/span><\/li>\n<li data-sourcepos=\"36:1-36:21\"><span style=\"vertical-align: inherit\">Entrepreneurs and business owners<\/span><\/li>\n<li data-sourcepos=\"37:1-37:38\"><span style=\"vertical-align: inherit\">Anyone interested in data science<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Data Science with Python and Machine Learning For Beginners course specifications<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/data-science-with-python-and-machine-learning-for-beginners\/?couponCode=KEEPLEARNING\" target=\"_blank\"><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\/tech-academy\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Tech Academy<\/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: 8 hours and 50 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 122<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-920312 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/Data-Science-with-Python-and-Machine-Learning-For-Beginners2.jpg\" alt=\"Data Science with Python and Machine Learning For Beginners\" width=\"800\" height=\"493\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Data Science with Python and Machine Learning For Beginners course prerequisites<\/span><\/h3>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Basic Computer Literacy<\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">No prior programming experience required, but familiarity with the basics of programming concepts (e.g., variables, loops, conditional statements) is beneficial.<\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Access to a computer with internet connectivity.<\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Ability to install software, including Python and necessary libraries (installation instructions will be provided).<\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Willingness to learn and explore new tools and technologies (e.g., Jupyter Notebook).<\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Data Science with Python and Machine Learning For Beginners course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-920311 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/Data-Science-with-Python-and-Machine-Learning-For-Beginners.jpg\" alt=\"Data Science with Python and Machine Learning For Beginners\" width=\"700\" height=\"327\"><\/h2>\n<h3><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; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-135118-1\"><video class=\"wp-video-shortcode\" id=\"video-135118-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_with_Python_and_Machine_Learning_For_Beginners_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_with_Python_and_Machine_Learning_For_Beginners_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_with_Python_and_Machine_Learning_For_Beginners_Downloadly.ir.mp4?nocache=1786102985829\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_with_Python_and_Machine_Learning_For_Beginners_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<div>\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><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Data_Science_with_Python_and_Machine_Learning_For_Beginners_2024-6.part1_Downloadly.ir.rar?nocache=1786102984\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Data_Science_with_Python_and_Machine_Learning_For_Beginners_2024-6.part2_Downloadly.ir.rar?nocache=1786102984\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Data_Science_with_Python_and_Machine_Learning_For_Beginners_2024-6.part3_Downloadly.ir.rar?nocache=1786102984\"><span style=\"vertical-align: inherit\">Download part 3 \u2013 103 MB<\/span><\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">2.1 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Data Science with Python and Machine Learning For Beginners course. In today\u2019s data-driven world, the ability to use and interpret data is not only <\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[50974,50975,50976,50977,50978,50979],"class_list":["post-4981","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-data-science-with-python-and-machine-learning-for-beginners","dgi_tag-download-course-data-science-with-python-and-machine-learning-for-beginners","dgi_tag-download-data-science-with-python-and-machine-learning-for-beginners","dgi_tag-free-data-science-with-python-and-machine-learning-for-beginners","dgi_tag-free-download-data-science-with-python-and-machine-learning-for-beginners","dgi_tag-tech-academy"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/4981","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\/4981\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=4981"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=4981"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=4981"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}