{"id":10841,"date":"2026-08-10T10:24:16","date_gmt":"2026-08-10T10:24:16","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/coursera-programming-for-python-data-science-principles-to-practice-specialization-2025-1\/"},"modified":"2026-08-10T10:24:16","modified_gmt":"2026-08-10T10:24:16","slug":"coursera-programming-for-python-data-science-principles-to-practice-specialization-2025-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/coursera-programming-for-python-data-science-principles-to-practice-specialization-2025-1\/","title":{"rendered":"Coursera \u2013 Programming for Python Data Science: Principles to Practice Specialization 2025-1"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<div id=\"chat-history\" class=\"chat-history-scroll-container\" style=\"text-align: left\">\n<div id=\"7e3c101afefe31f3\" class=\"conversation-container message-actions-hover-boundary ng-star-inserted\">\n<div>\n<div class=\"response-container ng-tns-c821645765-25 response-container-with-gpi is-mobile ng-star-inserted response-container-has-multiple-responses\">\n<div class=\"presented-response-container ng-tns-c821645765-25\">\n<div class=\"response-container-content ng-tns-c821645765-25 is-mobile\">\n<div class=\"response-content ng-tns-c821645765-25\">\n<div id=\"model-response-message-contentr_7e3c101afefe31f3\" class=\"markdown markdown-main-panel tutor-markdown-rendering stronger enable-updated-hr-color\">\n<p data-sourcepos=\"15:1-15:790\"><span style=\"vertical-align: inherit\">Programming for Python Data Science: Principles to Practice Specialization. This course teaches participants how to use Python to effectively analyze, process, and visualize data. Designed for beginners and experts, this course covers essential skills such as data management, algorithm development, and working with key Python libraries such as NumPy, Pandas, and Matplotlib. Topics such as data structures, coding in VS Code, and building data science applications are covered across five courses. The final two courses focus on data modeling, prediction, and visualization, providing an introduction to machine learning and inferential statistics. By the end, participants will be able to clean, analyze, and visualize complex data and provide valuable insights. Practical projects in this course include analyzing real-world problems such as economic indicators and carbon emissions, which help strengthen problem-solving skills and build professional portfolios. By receiving the certification, your skills in transforming raw data into actionable results are confirmed.<\/span><\/p>\n<h3 data-sourcepos=\"19:1-19:24\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul data-sourcepos=\"21:1-25:0\">\n<li data-sourcepos=\"21:1-21:77\"><span style=\"vertical-align: inherit\">Using a seven-step framework to create algorithms and programs.<\/span><\/li>\n<li data-sourcepos=\"22:1-22:92\"><span style=\"vertical-align: inherit\">Use NumPy and Pandas to manipulate, filter, and analyze data with arrays and matrices.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:98\"><span style=\"vertical-align: inherit\">Utilize best practices for cleaning, manipulating, and optimizing data using Python.<\/span><\/li>\n<li data-sourcepos=\"24:1-25:0\"><span style=\"vertical-align: inherit\">Create publication-quality classification models and visualizations with your own datasets.<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"28:1-28:30\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul data-sourcepos=\"30:1-42:168\">\n<li data-sourcepos=\"30:1-30:76\"><span style=\"vertical-align: inherit\">People looking to add Python to their data science toolbox.<\/span><\/li>\n<li data-sourcepos=\"31:1-31:91\"><span style=\"vertical-align: inherit\">Complete beginners in data science who are looking to learn the principles and application of Python in this field.<\/span><\/li>\n<li data-sourcepos=\"32:1-32:98\"><span style=\"vertical-align: inherit\">Those who want to develop skills in managing, analyzing, and conveying insights from data with Python.<\/span><\/li>\n<li data-sourcepos=\"33:1-33:103\"><span style=\"vertical-align: inherit\">People who are interested in working with practical projects and frameworks related to the full data science pipeline.<\/span><\/li>\n<li data-sourcepos=\"34:1-34:122\"><span style=\"vertical-align: inherit\">Students and professionals who want to gain a deep understanding of computer science concepts such as algorithm development and data structures.<\/span><\/li>\n<li data-sourcepos=\"35:1-35:123\"><span style=\"vertical-align: inherit\">Those who want to work in depth with core Python libraries for data science such as NumPy, Pandas, and Matplotlib.<\/span><\/li>\n<li data-sourcepos=\"36:1-36:147\"><span style=\"vertical-align: inherit\">People who are interested in learning data modeling, forecasting, and visualization to prepare for more advanced topics such as machine learning and inferential statistics.<\/span><\/li>\n<li data-sourcepos=\"37:1-37:151\"><span style=\"vertical-align: inherit\">Those looking for the ability to clean and analyze data, discover compelling insights, and create applications and visualizations for their data science portfolio.<\/span><\/li>\n<li data-sourcepos=\"38:1-38:114\"><span style=\"vertical-align: inherit\">People who want to demonstrate their ability to generate impactful insights from raw data in a data-driven world.<\/span><\/li>\n<li data-sourcepos=\"39:1-39:123\"><span style=\"vertical-align: inherit\">Those interested in creating programs to analyze real-world data and generate insights for important societal issues.<\/span><\/li>\n<li data-sourcepos=\"40:1-40:131\"><span style=\"vertical-align: inherit\">People who want to learn the process of translating abstract problems into applications that produce reproducible analyses.<\/span><\/li>\n<li data-sourcepos=\"41:1-41:143\"><span style=\"vertical-align: inherit\">Those looking for hands-on practice in debugging Python code in industry-standard libraries or optimizing and evaluating predictive models.<\/span><\/li>\n<li data-sourcepos=\"42:1-42:168\"><span style=\"vertical-align: inherit\">Individuals who want to develop the analytical and technical skills necessary to complete a complete data science pipeline \u2013 from a raw dataset to a publication-quality visualization.<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"input-area-container ng-star-inserted\" style=\"text-align: left\">&nbsp;<\/div>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course details<\/span><\/h3>\n<ul style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.coursera.org\/specializations\/python-for-data-science\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Coursera<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor: <\/span><span class=\"css-6ecy9b\"><span style=\"vertical-align: inherit\">Andrew D. Hilton<\/span><\/span><span style=\"vertical-align: inherit\"> , <\/span><span class=\"css-6ecy9b\"><span style=\"vertical-align: inherit\">Nick Eubank<\/span><\/span><span style=\"vertical-align: inherit\"> , <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/kyle-bradbury\/\"><span style=\"vertical-align: inherit\">Kyle Bradbury<\/span><\/a><span style=\"vertical-align: inherit\"> , <\/span><span class=\"css-6ecy9b\"><span style=\"vertical-align: inherit\">Genevieve M. Lipp<\/span><\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Beginner<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 5<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 8 hours and 13 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 67<\/span><\/li>\n<\/ul>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<p style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-989818 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/06\/Programming-for-Python-Data-Science-Principles-to-Practice-Specialization-2.png\" alt=\"Programming for Python Data Science: Principles to Practice Specialization\" width=\"1043\" height=\"592\"><\/p>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Images of the Programming for Python Data Science: Principles to Practice Specialization course<\/span><\/h3>\n<p style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-989816 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/06\/Programming-for-Python-Data-Science-Principles-to-Practice-Specialization.png\" alt=\"Programming for Python Data Science: Principles to Practice Specialization\" width=\"915\" height=\"389\"><\/p>\n<h3 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 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: English<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Coursera_Programming_for_Python_Data_Science_Principles_to_Practice_Specialization_2025-1.part1_Downloadly.ir.rar?nocache=1786139175\"><span style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Coursera_Programming_for_Python_Data_Science_Principles_to_Practice_Specialization_2025-1.part2_Downloadly.ir.rar?nocache=1786139175\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Coursera_Programming_for_Python_Data_Science_Principles_to_Practice_Specialization_2025-1.part3_Downloadly.ir.rar?nocache=1786139175\"><span style=\"vertical-align: inherit\">Download Part 3 \u2013 125 MB<\/span><\/a><\/p>\n<p style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p style=\"text-align: left\"><span style=\"vertical-align: inherit\">2.1 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Programming for Python Data Science: Principles to Practice Specialization. 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