{"id":5305,"date":"2026-08-10T09:21:37","date_gmt":"2026-08-10T09:21:37","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/datacamp-associate-data-scientist-in-python-2024-8\/"},"modified":"2026-08-10T09:21:37","modified_gmt":"2026-08-10T09:21:37","slug":"datacamp-associate-data-scientist-in-python-2024-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/datacamp-associate-data-scientist-in-python-2024-8\/","title":{"rendered":"Datacamp \u2013 Associate Data Scientist in Python 2024-8"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\">Descriptions<\/h2>\n<p dir=\"ltr\">Associate Data Scientist in Python, Learn Python for data science and gain the career-building skills you need to succeed as a data scientist, from data manipulation to machine learning! In this track, you\u2019ll learn how this versatile language allows you to import, clean, manipulate, and visualize data\u2014all integral skills for any aspiring data professional or researcher. Starting with the Python essentials for data science, you\u2019ll work through interactive exercises that test your abilities. You\u2019ll get hands-on with some of the most popular Python libraries for data science, including pandas, Seaborn, Matplotlib, scikit-learn, and many more. As you progress, you\u2019ll work with real-world datasets to learn the statistical and machine learning techniques you need to perform hypothesis testing and build predictive models. You\u2019ll also get an introduction to supervised learning with scikit-learn and apply your skills to various projects. Start this track, grow your data science skills, and begin your journey to confidently pass the Associate Data Scientist in Python certification and thrive as a data scientist.<\/p>\n<h3 dir=\"ltr\">What you\u2019ll learn<\/h3>\n<ul dir=\"ltr\">\n<li>Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.<\/li>\n<li>Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.<\/li>\n<li>Learn how to import and clean data, calculate statistics, and create visualizations with pandas.<\/li>\n<li>Learn to combine data from multiple tables by joining data together using pandas.<\/li>\n<li>Learn how to create, customize, and share data visualizations using Matplotlib.<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Specificatoin of Associate Data Scientist in Python<\/h3>\n<ul dir=\"ltr\">\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.datacamp.com\/tracks\/associate-data-scientist-in-python\" target=\"_blank\">Datacamp<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/hugo-bowne-anderson\">Hugo Bowne-Anderson<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Number of Course : 23<\/li>\n<li>Duration : 90 hours (To complete the course with exercise,..)<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Content of Associate Data Scientist in Python<\/h3>\n<p dir=\"ltr\">Cleaning Data in Python<br \/>Data Communication Concepts<br \/>Data Manipulation with pandas<br \/>Experimental Design in Python<br \/>Exploratory Data Analysis in Python<br \/>Hypothesis Testing in Python<br \/>Intermediate Python<br \/>Introduction to Data Visualization with Matplotlib<br \/>Introduction to Data Visualization with Seaborn<br \/>Introduction to Functions in Python<br \/>Introduction to Importing Data in Python<br \/>Introduction to Python<br \/>Introduction to Regression with statsmodels in Python<br \/>Introduction to Statistics in Python<br \/>Joining Data with pandas<br \/>Machine Learning with Tree-Based Models in Python<br \/>Python Toolbox<br \/>Sampling in Python<br \/>Supervised Learning with scikit-learn<br \/>Unsupervised Learning in Python<br \/>Working with Categorical Data in Python<br \/>Working with Dates and Times in Python<br \/>Writing Functions in Python<\/p>\n<h3 dir=\"ltr\">Pictures<\/h3>\n<p dir=\"ltr\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-924087\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/Associate-Data-Scientist-in-Python.d.jpeg\" alt=\"Associate Data Scientist in Python\" width=\"641\" height=\"229\"><\/p>\n<h3 dir=\"ltr\">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-136965-1\"><video class=\"wp-video-shortcode\" id=\"video-136965-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Associate_Data_Scientist_in_Python_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Associate_Data_Scientist_in_Python_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Associate_Data_Scientist_in_Python_Downloadly.ir.mp4?nocache=1786103973993\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Associate_Data_Scientist_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<h3 dir=\"ltr\">Installation Guide<\/h3>\n<p dir=\"ltr\">Extract the files and watch with your favorite player<\/p>\n<p dir=\"ltr\">Subtitle : English<\/p>\n<p dir=\"ltr\">Quality: 720p<\/p>\n<h3 dir=\"ltr\">Download Links<\/h3>\n<h4><strong>Downloadly<\/strong><\/h4>\n<p dir=\"ltr\"><strong>Cleaning Data in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Cleaning_Data_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 73 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Data Communication Concepts<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Data_Communication_Concepts_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 80 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Data Manipulation with pandas<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Data_Manipulation_with_pandas_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 70 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Experimental Design in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Experimental_Design_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 92 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Exploratory Data Analysis in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Exploratory_Data_Analysis_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 93 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Hypothesis Testing in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Hypothesis_Testing_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 86 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Intermediate Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Intermediate_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 218 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Data Visualization with Matplotlib<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Introduction_to_Data_Visualization_with_Matplotlib_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 157 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Data Visualization with Seaborn<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Introduction_to_Data_Visualization_with_Seaborn_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 70 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Functions in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Introduction_to_Functions_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 30 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Importing Data in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Introduction_to_Importing_Data_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 124 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Introduction_to_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 151 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Regression with statsmodels in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Introduction_to_Regression_with_statsmodels_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 72 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Statistics in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Introduction_to_Statistics_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 91 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Joining Data with pandas<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Joining_Data_with_pandas_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 86 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Machine Learning with Tree-Based Models in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Machine_Learning_with_Tree-Based_Models_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 87 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Python Toolbox<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Python_Toolbox_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 55 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Sampling in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Sampling_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 81 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Supervised Learning with scikit-learn<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Supervised_Learning_with_scikit-learn_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 87 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Unsupervised Learning in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Unsupervised_Learning_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 117 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Working with Categorical Data in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Working_with_Categorical_Data_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 70 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Working with Dates and Times in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Working_with_Dates_and_Times_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 69 MB<br \/><\/a><\/p>\n<p dir=\"ltr\"><strong>Writing Functions in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Datacamp_Writing_Functions_in_Python_2024-8_Downloadly.ir.rar?nocache=1786103972\">Download \u2013 65 MB<\/a><\/p>\n<hr>\n<h4><strong>Rapidgator<\/strong><\/h4>\n<p dir=\"ltr\"><strong>Cleaning Data in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/0279f98f7e5ebbe3acf640261634e905\/Datacamp_Cleaning_Data_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 73 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Data Communication Concepts<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/b76141c26eef771dd98bd405e7cab2b8\/Datacamp_Data_Communication_Concepts_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 80 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Data Manipulation with pandas<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/894b957fa988a4805853c81687e429e8\/Datacamp_Data_Manipulation_with_pandas_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 70 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Experimental Design in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/c5a48c308917bda75b8b13db0ed8715d\/Datacamp_Experimental_Design_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 92 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Exploratory Data Analysis in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/87ba0960e1685b2ac6679e07431832e8\/Datacamp_Exploratory_Data_Analysis_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 93 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Hypothesis Testing in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/3ee5d24e1bf6663bd5327a3c0e4454a9\/Datacamp_Hypothesis_Testing_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 86 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Intermediate Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/8cabd500bbf13ebc82f494cdbbc0971c\/Datacamp_Intermediate_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 218 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Data Visualization with Matplotlib<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/553f0dfcfce02e60cbf9063f2e1a31da\/Datacamp_Introduction_to_Data_Visualization_with_Matplotlib_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 157 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Data Visualization with Seaborn<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/35a7a2a994b26e52c56b13e5626cf0cb\/Datacamp_Introduction_to_Data_Visualization_with_Seaborn_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 70 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Functions in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/65d53d8190a6e4ba4da228b211b62e15\/Datacamp_Introduction_to_Functions_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 30 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Importing Data in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/e953205843beb78270d0be1aa908fd44\/Datacamp_Introduction_to_Importing_Data_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 124 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/85adfd0cc65cbb3be803d4850ac8bb77\/Datacamp_Introduction_to_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 151 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Regression with statsmodels in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/6e57fa1ad9f7328d2c18bd0658dc4a5b\/Datacamp_Introduction_to_Regression_with_statsmodels_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 72 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Introduction to Statistics in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/5991337b406b3e76b2c8414aa793a76c\/Datacamp_Introduction_to_Statistics_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 91 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Joining Data with pandas<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/5c68234ca731c94f3a793adacc9df44b\/Datacamp_Joining_Data_with_pandas_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 86 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Machine Learning with Tree-Based Models in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/9418015b9d14ea51f480eb899f38c275\/Datacamp_Machine_Learning_with_Tree-Based_Models_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 87 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Python Toolbox<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/334bcfb05f8d615ea8ebd755b49b196e\/Datacamp_Python_Toolbox_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 55 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Sampling in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/2af224b67c57b6f9fff5edb32315d4a5\/Datacamp_Sampling_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 81 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Supervised Learning with scikit-learn<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/ea8e7d5343d1430110ebdc277988f04a\/Datacamp_Supervised_Learning_with_scikit-learn_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 87 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Unsupervised Learning in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/1971aee4f5b512281907ee73eef12d14\/Datacamp_Unsupervised_Learning_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 117 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Working with Categorical Data in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/1c79e492c9d96ec4b75df345e9bd2ea0\/Datacamp_Working_with_Categorical_Data_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 70 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Working with Dates and Times in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/cff8596f5a4f9cdab84f36e8e8e8fa38\/Datacamp_Working_with_Dates_and_Times_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 69 MB<\/a><\/p>\n<p dir=\"ltr\"><strong>Writing Functions in Python<\/strong><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/rapidgator.net\/file\/ba1d8a4954b1d741ba50a2a072d4e03e\/Datacamp_Writing_Functions_in_Python_2024-8_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download \u2013 65 MB<\/a><\/p>\n<h5 dir=\"ltr\">Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3 dir=\"ltr\">File size<\/h3>\n<p dir=\"ltr\">2.08 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Associate Data Scientist in Python, Learn Python for data science and gain the career-building skills you need to succeed as a data scientist, 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