{"id":12592,"date":"2026-08-10T10:47:48","date_gmt":"2026-08-10T10:47:48","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-learn-numpy-pandas-and-pyspark-for-etl-testing-from-scratc-2025-6\/"},"modified":"2026-08-10T10:47:48","modified_gmt":"2026-08-10T10:47:48","slug":"udemy-learn-numpy-pandas-and-pyspark-for-etl-testing-from-scratc-2025-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-learn-numpy-pandas-and-pyspark-for-etl-testing-from-scratc-2025-6\/","title":{"rendered":"Udemy \u2013 Learn Numpy, pandas, and pyspark for ETL testing from scratc 2025-6"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Learn Numpy, pandas, and pyspark for ETL testing from scratch. This comprehensive course teaches the essential skills for ETL testing and machine learning in a hands-on manner using the NumPy, Pandas, and PySpark libraries. The course starts with a strong emphasis on NumPy and covers its fundamentals thoroughly, as understanding these fundamentals will facilitate learning the structure of DataFrames in Pandas and PySpark. A full section is then dedicated to Pandas to help learners get started effectively with this library and overcome initial challenges. There is also a detailed section on PySpark that provides practical solutions for installing and running this framework on Windows and addresses common obstacles to getting started. The course is structured into 11 sections, 9 of which are dedicated to comprehensive NumPy training. Ultimately, this course prepares learners to enter the job market in the areas of ETL pipeline testing and machine learning.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Mastery of Python for data analysis:<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Write efficient Python code to manipulate, cleanse, and transform data using core programming concepts.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Using NumPy for numerical calculations:<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Perform high-performance numerical operations, array manipulation, and mathematical calculations using NumPy.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Analyzing and manipulating data with Pandas:<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Clean, explore, and analyze structured datasets using Pandas DataFrames, including handling missing data, grouping, and more.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Big data processing with PySpark:<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Scaling data processing using PySpark, including distributed computing, SQL operations, and performance optimization for big data.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">This course is suitable for anyone who has basic knowledge of Python but wants to learn NumPy, Pandas, and PySpark for ETL testing.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">This course is useful for those who want to become a data scientist, ETL engineer, or machine learning engineer.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course details<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/learn-numpy-pandas-and-pyspark-for-etl-testing-from-scratc\/?couponCode=MT251006G3\" target=\"_blank\" rel=\"noopener\"><span dir=\"auto\" style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Instructor: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/saad-fazelpour\/\"><span dir=\"auto\" style=\"vertical-align: inherit\">Saad Fazelpour<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Training level: Beginner to advanced<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Training duration: 16 hours and 55 minutes<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Number of lessons: 55<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course syllabus as of 2025\/10<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1011845 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/10\/Learn-Numpy-pandas-and-pyspark-for-ETL-testing-from-scratc-1.png\" alt=\"Learn Numpy pandas and pyspark for ETL testing from scratc\" width=\"886\" height=\"1018\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Prerequisites for the Learn Numpy pandas and pyspark for ETL testing from scratch course<\/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\" dir=\"ltr\" style=\"text-align: left\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">The only requirement for this course is prior knowledge of python basics<\/span><\/li>\n<\/ul>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1011846 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/10\/Learn-Numpy-pandas-and-pyspark-for-ETL-testing-from-scratc.png\" alt=\"Learn Numpy pandas and pyspark for ETL testing from scratc\" width=\"810\" height=\"378\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" 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; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-179044-1\"><video class=\"wp-video-shortcode\" id=\"video-179044-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_Downloadly.ir.mp4?nocache=1786173149749\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_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 dir=\"ltr\" style=\"text-align: left\">\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Subtitles: None<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_2025-6.part1_Downloadly.ir.rar?nocache=1786173147\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_2025-6.part2_Downloadly.ir.rar?nocache=1786173147\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_2025-6.part3_Downloadly.ir.rar?nocache=1786173147\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 3 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_2025-6.part4_Downloadly.ir.rar?nocache=1786173147\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 4 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_2025-6.part5_Downloadly.ir.rar?nocache=1786173147\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 5 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_2025-6.part6_Downloadly.ir.rar?nocache=1786173147\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 6 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Learn_Numpy_pandas_and_pyspark_for_ETL_testing_from_scratc_2025-6.part7_Downloadly.ir.rar?nocache=1786173147\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 7 \u2013 546 MB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">6.5 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Learn Numpy, pandas, and pyspark for ETL testing from scratch. 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