{"id":3436,"date":"2026-08-10T09:04:56","date_gmt":"2026-08-10T09:04:56","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-the-a-to-z-of-data-preprocessing-for-data-science-in-python-2024-1\/"},"modified":"2026-08-10T09:04:56","modified_gmt":"2026-08-10T09:04:56","slug":"udemy-the-a-to-z-of-data-preprocessing-for-data-science-in-python-2024-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-the-a-to-z-of-data-preprocessing-for-data-science-in-python-2024-1\/","title":{"rendered":"Udemy \u2013 The A to Z of Data Preprocessing for Data Science in Python 2024-1"},"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\">The A to Z of Data Preprocessing for Data Science in Python course. This course focuses on \u201cData Preprocessing\u201d. Mastering data cleansing is an essential skill for anyone entering the world of data science. Imagine: you are eager to extract insights and build models on a new data set, but you find that the data set is full of missing values, outliers, and inconsistencies. This is where data preprocessing skills come into play. By learning how to sort through messy data, you set yourself up for success. Clean data means accurate analytics, reliable models, and ultimately, more impactful insights. Also, this skill shows that you are serious in the competitive field of data science. So, embrace the data cleansing process \u2013 this course will help you unlock the true potential of your data!<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<p data-sourcepos=\"7:1-7:567\"><span style=\"vertical-align: inherit\">What sets this course apart is our unique approach. We don\u2019t just teach you standard methods. We show you the limitations of common approaches and the strengths of real-world applied techniques. This course provides a unique combination of theory and hands-on Python exercises that will help increase your confidence in dealing with any type of data. Additionally, we\u2019ll help you review the basics of Python programming and learn to use popular libraries like NumPy, Pandas, and Matplotlib for efficient data preprocessing.<\/span><\/p>\n<h3 data-sourcepos=\"10:1-10:25\"><strong><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"12:1-13:109\">\n<li data-sourcepos=\"12:1-12:94\"><span style=\"vertical-align: inherit\">Learn to properly clean your data for data science and machine learning projects.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:109\"><span style=\"vertical-align: inherit\">For each topic, learn several approaches to performing data preprocessing \u2013 common versus applied approaches<\/span><\/li>\n<li data-sourcepos=\"14:1-14:150\"><span style=\"vertical-align: inherit\">Learn to handle missing values, handle outliers, feature scaling, feature selection, handle multiple correlation, outlier detection, handle unbalanced data.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:108\"><span style=\"vertical-align: inherit\">In-depth theory along with hands-on exercises for all topics related to data preparation for data science and machine learning<\/span><\/li>\n<li data-sourcepos=\"16:1-18:0\"><span style=\"vertical-align: inherit\">Review of fundamental Python modules such as working with NumPy arrays, Pandas dataframes, data visualization with Matplotlib, Seaborn and basic statistics<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"19:1-19:32\"><strong><span style=\"vertical-align: inherit\">Who is this course suitable for?<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"21:1-22:124\">\n<li data-sourcepos=\"21:1-21:96\"><span style=\"vertical-align: inherit\">Data science students interested in data preprocessing, data preparation and data wrangling<\/span><\/li>\n<li data-sourcepos=\"22:1-22:124\"><span style=\"vertical-align: inherit\">Data science professionals who want to learn practical industry-level practices for data preprocessing, data preparation, and data curation.<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course specifications The A to Z of Data Preprocessing for Data Science in Python<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/the-a-to-z-of-data-preprocessing-for-data-science-in-python\/?couponCode=LEADERSALE24B\" target=\"_blank\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/nash-j\/\"><span style=\"vertical-align: inherit\">Nash J<\/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: 10 hours and 47 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 167<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Headlines of the course on 2\/2024<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-903679 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/05\/The-A-to-Z-of-Data-Preprocessing-for-Data-Science-in-Python-2.jpg\" alt=\"The A to Z of Data Preprocessing for Data Science in Python\" width=\"802\" height=\"877\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Prerequisites of The A to Z of Data Preprocessing for Data Science in Python course<\/span><\/h3>\n<ul>\n<li dir=\"ltr\" style=\"text-align: left\">Access to Python using Google Colab, Jupyter Notebook or any other IDE<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Familiarity with Python libraries like numpy and pandas though not mandatory, will be a plus.<\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-903677 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/05\/The-A-to-Z-of-Data-Preprocessing-for-Data-Science-in-Python.jpg\" alt=\"The A to Z of Data Preprocessing for Data Science in Python\" width=\"797\" height=\"303\"><\/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-126961-1\"><video class=\"wp-video-shortcode\" id=\"video-126961-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_Downloadly.ir.mp4?nocache=1786098544412\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_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: 720p<\/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_The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_2024-1.part1_Downloadly.ir.rar?nocache=1786098543\"><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_The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_2024-1.part2_Downloadly.ir.rar?nocache=1786098543\"><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_The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_2024-1.part3_Downloadly.ir.rar?nocache=1786098543\"><span style=\"vertical-align: inherit\">Download part 3 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_2024-1.part4_Downloadly.ir.rar?nocache=1786098543\"><span style=\"vertical-align: inherit\">Download part 4 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_2024-1.part5_Downloadly.ir.rar?nocache=1786098543\"><span style=\"vertical-align: inherit\">Download part 5 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_The_A_to_Z_of_Data_Preprocessing_for_Data_Science_in_Python_2024-1.part6_Downloadly.ir.rar?nocache=1786098543\"><span style=\"vertical-align: inherit\">Download Part 6 \u2013 0.99 GB<\/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\">Size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">5.99 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description The A to Z of Data Preprocessing for Data Science in Python course. This course focuses on \u201cData Preprocessing\u201d. Mastering data cleansing is an esse<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[38579,38580,38581,38582,38583,38584,38585,38586,38587,38588,38589,38590],"class_list":["post-3436","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-download-link-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-download-links-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-download-paid-course-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-download-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-free-download-course-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-free-download-link-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-free-download-links-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-free-links-download-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-free-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-nash-j","dgi_tag-paid-course-the-a-to-z-of-data-preprocessing-for-data-science-in-python","dgi_tag-the-a-to-z-of-data-preprocessing-for-data-science-in-python-free-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/3436","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\/3436\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=3436"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=3436"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=3436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}