{"id":14900,"date":"2026-08-10T11:20:35","date_gmt":"2026-08-10T11:20:35","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/cbtnuggets-pcad-certified-associate-data-analyst-with-python-pcad-31-02-2026-6\/"},"modified":"2026-08-10T11:20:35","modified_gmt":"2026-08-10T11:20:35","slug":"cbtnuggets-pcad-certified-associate-data-analyst-with-python-pcad-31-02-2026-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/cbtnuggets-pcad-certified-associate-data-analyst-with-python-pcad-31-02-2026-6\/","title":{"rendered":"CBTNuggets \u2013 PCAD \u2013 Certified Associate Data Analyst with Python (PCAD-31-02) 2026-6"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Certified Associate Data Analyst with Python (PCAD) Certification Training, This comprehensive training course prepares you to successfully pass the PCAD (Certified Associate Data Analyst with Python) certification exam by covering the core skills employers expect from professional data analysts. You will learn to use Python for data manipulation, along with essential libraries like Pandas, NumPy, Matplotlib, and Seaborn, to query, aggregate, and visualize datasets. The curriculum also covers statistical methods for drawing reliable conclusions from data. Mapped directly to the official PCAD exam objectives, this course ensures you build both practical analytical skills and exam readiness simultaneously. It is perfectly suited for candidates at an early to mid-stage of their analytics career, including those transitioning from data-adjacent roles. You will master structuring an end-to-end analytics workflow, from raw data ingestion to documented insights, and interpreting descriptive and inferential statistics to support evidence-based business decisions, while preparing for exam scenarios using practice questions aligned with official certification objectives.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>Apply Python libraries such as Pandas and NumPy to clean, transform, and analyze real-world datasets.<\/li>\n<li>Write SQL queries to extract, filter, join, and aggregate data from relational databases.<\/li>\n<li>Build compelling data visualizations that clearly communicate findings to both technical and non-technical audiences.<\/li>\n<li>Interpret descriptive and inferential statistics to support evidence-based business decisions.<\/li>\n<li>Structure an end-to-end analytics workflow, from raw data ingestion to documented insights.<\/li>\n<li>Prepare for PCAD exam scenarios using practice questions aligned with official certification objectives.<\/li>\n<\/ul>\n<h3>Who this course is for<\/h3>\n<ul>\n<li>Junior data analysts, career-changers, and recent graduates with some Python exposure seeking a recognized credential to validate their skills.<\/li>\n<li>Business professionals who work closely with data teams and want to develop stronger analytical fluency.<\/li>\n<li>Individuals transitioning from data-adjacent roles who need to formalize their technical credentials.<\/li>\n<\/ul>\n<h3>Specificatoin of Certified Associate Data Analyst with Python (PCAD) Certification Training<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.cbtnuggets.com\/it-training\/python\/pcad\" target=\"_blank\" rel=\"noopener\">CBTNuggets<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/shaun-wassell\">Shaun Wassell<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Number of Course : 340<\/li>\n<li>Duration : 46 hours and 40 minutes<\/li>\n<\/ul>\n<h3>Content of Certified Associate Data Analyst with Python (PCAD) Certification Training<\/h3>\n<p>01 \u2013 Basics of Jupyter Notebooks<br \/>\n02 \u2013 Introduction to Num Py<br \/>\n03 \u2013 Working with Multidimensional Num Py Arrays<br \/>\n04 \u2013 Num Py Array Operations<br \/>\n05 \u2013 Introduction to Fancy Indexing in Num Py<br \/>\n06 \u2013 Num Py Array Broadcasting In-Depth<br \/>\n07 \u2013 Basic Data Analysis with Num Py Arrays<br \/>\n08 \u2013 Num Py\u2019s Data Types In-Depth<br \/>\n09 \u2013 Basics of Pandas Series<br \/>\n10 \u2013 Basics of Pandas Data Frames<br \/>\n11 \u2013 Generating Random Numbers with Num Py and Pandas<br \/>\n12 \u2013 Working with Datasets in Pandas<br \/>\n13 \u2013 Dataset Cleaning in Pandas<br \/>\n14 \u2013 An In-Depth Look At Missing Values<br \/>\n15 \u2013 The Basics of Pandas Dataset Grouping<br \/>\n16 \u2013 Intermediate Dataset Grouping<br \/>\n17 \u2013 Filtering Data in Pandas<br \/>\n18 \u2013 Transforming Data in Pandas<br \/>\n19 \u2013 Applying Functions in Pandas<br \/>\n20 \u2013 Sorting Pandas Data Structures<br \/>\n21 \u2013 Introduction to Web Scraping with Beautiful Soup<br \/>\n22 \u2013 Beautiful Soup Types In-Depth<br \/>\n23 \u2013 Finding Elements with Beautiful Soup<br \/>\n24 \u2013 CSS Selectors For Web Scraping<br \/>\n25 \u2013 CSS Combinators for Web-Scraping<br \/>\n26 \u2013 CSS Pseudo-Classes for Web-Scraping<br \/>\n27 \u2013 Introduction to XPath for Web-Scraping<br \/>\n28 \u2013 Intermediate XPath Concepts<br \/>\n29 \u2013 XPath Predicates Basics<br \/>\n30 \u2013 Advanced XPath Predicates<br \/>\n31 \u2013 Basics of Data Visualization with Matplotlib<br \/>\n32 \u2013 Working with Scatterplots in Matplotlib<br \/>\n33 \u2013 Working with Bar Charts in Matplotlib<br \/>\n34 \u2013 Working with Pie Charts in Matplotlib<br \/>\n35 \u2013 Statistical Visualization Basics with Matplotlib<br \/>\n36 \u2013 Matplotlib Figures In-Depth<br \/>\n37 \u2013 Adding Interactivity with Matplotlib Widgets<br \/>\n38 \u2013 More Matplotlib Widgets<br \/>\n39 \u2013 Introduction to Seaborn<br \/>\n40 \u2013 Working with Seaborn\u2019s Relational Plots<br \/>\n41 \u2013 Working with Seaborn\u2019s Categorical Plots<br \/>\n42 \u2013 Machine Learning Algorithms K-Nearest Neighbor<br \/>\n43 \u2013 Machine Learning Algorithms Linear Models<br \/>\n44 \u2013 Machine Learning Algorithms K-Means Clustering<br \/>\n45 \u2013 Machine Learning Algorithms Neural Networks<br \/>\n46 \u2013 Machine Learning Algorithms Classification Trees<br \/>\n47 \u2013 Basics of Descriptive Statistics<br \/>\n48 \u2013 Descriptive Statistics In-Depth<br \/>\n49 \u2013 Correlation In Statistics<br \/>\n50 \u2013 Inferential Statistics Fundamentals<br \/>\n51 \u2013 Bootstrapping and Other Inferential Strategies<br \/>\n52 \u2013 Introduction to SQL For Data Analysts<br \/>\n53 \u2013 SQL Query Fundamentals<br \/>\n54 \u2013 Managing Data in SQL Tables<br \/>\n55 \u2013 Updating and Deleting Data in SQL<br \/>\n56 \u2013 SQL Relationships and Joins<br \/>\n57 \u2013 Aggregates and Grouping in SQL<br \/>\n58 \u2013 SQL Subqueries<br \/>\n59 \u2013 SQL Transactions and Rollbacks<br \/>\n60 \u2013 Object-Oriented Programming For Data Analysts<br \/>\n61 \u2013 PEP Guidelines For Data Analysts<\/p>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1043165\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/07\/PCAD-Certified-Associate-Data-Analyst-with-Python-PCAD-31-02.d-1.jpeg\" alt=\"PCAD - Certified Associate Data Analyst with Python (PCAD-31-02)\" width=\"1033\" height=\"275\"><\/p>\n<h3>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-197816-1\"><video class=\"wp-video-shortcode\" id=\"video-197816-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Certified_Associate_Data_Analyst_with_Python_PCAD_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Certified_Associate_Data_Analyst_with_Python_PCAD_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Certified_Associate_Data_Analyst_with_Python_PCAD_Downloadly.ir.mp4?nocache=1786179119502\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Certified_Associate_Data_Analyst_with_Python_PCAD_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>Installation Guide<\/h3>\n<p>Extract the files and watch with your favorite player<\/p>\n<p>Subtitle : English<\/p>\n<p>Quality: 1080p<\/p>\n<h3>Download Links<\/h3>\n<h4><strong>Downloadly<\/strong><\/h4>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part1.rar?nocache=1786179118\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part2.rar?nocache=1786179118\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part3.rar?nocache=1786179118\" target=\"_blank\" rel=\"noopener\">Download Part 3 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part4.rar?nocache=1786179118\" target=\"_blank\" rel=\"noopener\">Download Part 4 \u2013 1.11 GB<\/a><\/p>\n<h4><strong>Rapidgator<\/strong><\/h4>\n<p><a href=\"https:\/\/rapidgator.net\/file\/b97e3d1286dabd64633598d7e95ca657\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part1.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/b86b9be06e7a0e7c96cd8cfc0a67629b\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part2.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/7cc53f36848fe5c60873eb86c5fa64be\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part3.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 3 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/16e8deb724790c96af7c4f15608b4d6f\/CBTNuggets_Certified_Associate_Data_Analyst_with_Python_PCAD_2026-6_Downloadly.ir.part4.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 4 \u2013 1.11 GB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>7.1 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Certified Associate Data Analyst with Python (PCAD) Certification Training, This comprehensive training course prepares you to successfully pass th<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[121322,121323,121324,121325,121326,121327,121328,121329],"class_list":["post-14900","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-cbtnuggets-pcad-certified-associate-data-analyst-with-python-pcad-31-02","dgi_tag-download-pcad-certified-associate-data-analyst-with-python-pcad-31-02","dgi_tag-free-download-pcad-certified-associate-data-analyst-with-python-pcad-31-02","dgi_tag-free-pcad-certified-associate-data-analyst-with-python-pcad-31-02","dgi_tag-pcad-certified-associate-data-analyst-with-python-pcad-31-02","dgi_tag-pcad-certified-associate-data-analyst-with-python-pcad-31-02-download","dgi_tag-pcad-certified-associate-data-analyst-with-python-pcad-31-02-free","dgi_tag-pcad-certified-associate-data-analyst-with-python-pcad-31-02-free-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/14900","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\/14900\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=14900"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=14900"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=14900"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}