{"id":573,"date":"2024-09-27T16:16:11","date_gmt":"2024-09-27T20:16:11","guid":{"rendered":"https:\/\/datavizexplorer.org\/dir\/?page_id=573"},"modified":"2025-12-07T06:39:12","modified_gmt":"2025-12-07T10:39:12","slug":"study-resources","status":"publish","type":"page","link":"https:\/\/datavizexplorer.org\/dir\/study-resources\/","title":{"rendered":"Internal And External Study Resources"},"content":{"rendered":"<div style=\"border: 4px solid #4e3824; padding: 20px; margin: 30px auto; border-radius: 6px; background-color: #fff; color: #000; font-family: Helvetica,;\">\r\n<p><span style=\"font-family: helvetica;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/i0.wp.com\/datavizexplorer.org\/dir\/wp-content\/uploads\/2025\/04\/70cf24c3-5c9f-4763-b66a-739c92547025.webp?resize=600%2C600&amp;ssl=1\" alt=\"Study Resources\" width=\"266\" height=\"266\" \/><\/span><\/p>\r\n<span style=\"font-family: helvetica;\"><!-- Resources Section Header --><\/span>\r\n<div class=\"section-highlight-wrapper\">\r\n<h2 style=\"text-align: center;\"><span style=\"font-family: helvetica;\">\ud83d\udcda Study Resources<\/span><\/h2>\r\n<\/div>\r\n<p style=\"font-size: 1em; margin-bottom: 20px; text-align: center;\"><span style=\"font-family: helvetica;\">Explore tutorials, revision guides, practice papers, and more to sharpen your data skills.<\/span><\/p>\r\n<p><span style=\"font-family: helvetica;\"><\/span><\/p>\r\n<hr \/>\r\n<h2 class=\"wp-block-heading\" style=\"font-size: 22px;\"><span style=\"font-family: helvetica;\">\ud83d\udcca Datasets Used in This Guide<\/span><\/h2>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\">The study guides and practice paper sets used on this website are publicly available datasets from reputable sources such as <strong>Kaggle<\/strong>, <strong>GitHub<\/strong>, and <strong>UCI Machine Learning Repository<\/strong>. These datasets are selected for educational use and are freely accessible for learning purposes. If you have any questions, please feel free to contact us <a href=\"https:\/\/datavizexplorer.org\/dir\/contact-us\">here<\/a> or <a href=\"https:\/\/tawk.to\/chat\/6803928d7f5f42190ba75784\/1ip6v8uh4\">HERE<\/a>.<\/span><\/p>\r\n<h3 style=\"font-size: 22px;\"><span style=\"font-family: helvetica;\">\ud83d\udd17 Free Version \u2013 Linked Resources<\/span><\/h3>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\">In the <strong>free version<\/strong> of this guide, you&#8217;ll find:<\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Direct links to all datasets hosted on external platforms<\/span><\/li>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Instructions for downloading and importing into Power BI<\/span><\/li>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Attribution to original data owners and sources<\/span><\/li>\r\n<\/ul>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\"><strong>Note:<\/strong> You are responsible for reviewing and complying with each dataset\u2019s license or usage terms when using the linked resources.<\/span><\/p>\r\n <style>\r\n\/* Container for all tiles *\/\r\n.tiles-container {\r\n  display: flex;\r\n  flex-wrap: wrap;\r\n  gap: 20px;\r\n  margin-top: 20px;\r\n}\r\n\r\n\/* Individual tile *\/\r\n.tile {\r\n  flex: 1 1 calc(50% - 20px);\r\n  background: #f5f5f5;\r\n  border-radius: 12px;\r\n  padding: 20px;\r\n  cursor: pointer;\r\n  transition: transform 0.3s ease, box-shadow 0.3s ease, opacity 0.5s ease, background-color 0.3s ease;\r\n  box-sizing: border-box;\r\n  opacity: 0;\r\n  border: 3px solid #5D3A1A;\r\n}\r\n\r\n.tile:hover {\r\n  transform: scale(1.03);\r\n  box-shadow: 0 6px 15px rgba(0,0,0,0.15);\r\n  background: #fff9c4;\r\n}\r\n\r\n\/* Tile heading styles *\/\r\n.tile h2 {\r\n  font-family: Helvetica, Arial, sans-serif;\r\n  font-size: 26px;\r\n  margin-bottom: 15px;\r\n  padding: 10px 15px;\r\n  background-color: #FFECB3;\r\n  border: 2px solid #5D3A1A;\r\n  border-radius: 8px;\r\n  transition: transform 0.3s ease, text-shadow 0.3s ease;\r\n}\r\n\r\n.tile h2:hover {\r\n  animation: pulseHeading 0.6s infinite alternate;\r\n  text-shadow: 0 0 8px #ffd700, 0 0 16px #ffd700;\r\n}\r\n\r\n\/* Pulse effect *\/\r\n@keyframes pulseHeading {\r\n  0% { transform: scale(1); }\r\n  100% { transform: scale(1.05); }\r\n}\r\n\r\n\/* Flash on click *\/\r\n.tile.flash {\r\n  animation: flashAnimation 0.5s ease;\r\n}\r\n\r\n@keyframes flashAnimation {\r\n  0% { background-color: #f5f5f5; }\r\n  50% { background-color: #fff176; }\r\n  100% { background-color: #f5f5f5; }\r\n}\r\n\r\n\/* Links styling *\/\r\n.tile a {\r\n  display: block;\r\n  font-family: Helvetica, Arial, sans-serif;\r\n  font-size: 18px;\r\n  margin-bottom: 8px;\r\n  color: #000;\r\n  text-decoration: none;\r\n  opacity: 0;\r\n  transform: translateY(10px);\r\n  transition: transform 0.3s ease, opacity 0.3s ease, color 0.2s ease;\r\n}\r\n\r\n.tile a:hover {\r\n  color: #0073e6;\r\n  text-decoration: underline;\r\n  transform: scale(1.05);\r\n}\r\n\r\n\/* Responsive adjustments *\/\r\n@media screen and (max-width: 768px) {\r\n  .tile {\r\n    flex: 1 1 100%;\r\n  }\r\n}\r\n<\/style>\r\n<span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/style>\r\n<div class=\"tiles-container\">\r\n<div class=\"tile\">\r\n<h2 style=\"text-align: center;\">\ud83d\udca1 Free Tutorials \u27a4<\/h2>\r\n\ud83d\udd39 <a href=\"https:\/\/docs.google.com\/document\/d\/1diBNDNiNHXncunHK-mbOG-wIwgZuIi9ZKuWqYyUnBuQ\/edit?usp=drivesdk\">Managing Digital Content For Data Librarians<\/a> \ud83d\udd39<a href=\"https:\/\/infogram.com\/features\/interactive-content\">Your Infogram Project<\/a> \ud83d\udd39<a href=\"https:\/\/community.fabric.microsoft.com\/t5\/Webinars-and-Video-Gallery\/Learn-Power-BI-Tutorial-for-Beginners-Full-Course\/m-p\/3006808\">Power BI For Beginners<\/a> \ud83d\udd39<a href=\"https:\/\/docs.google.com\/document\/d\/1rTl02lIkzvYX5thz7LItRGfIZB2tlJ-rIYuFk5mSBhw\/edit?usp=drivesdk\">Power BI For Intermediates<\/a> \ud83d\udd39<a href=\"https:\/\/www.libf.ac.uk\/news-and-events\/news-and-blogs\/how-to-become-a-data-analyst\/\">How To Become A Data Analyst<\/a> \ud83d\udd39<a href=\"https:\/\/www.datacamp.com\/blog\/how-to-become-a-data-scientist\">How To Become A Data Scientist In 2024<\/a> \ud83d\udd39<a href=\"https:\/\/images.app.goo.gl\/yGFgQLjMdLM1zLnZA\">Becoming A Data Analyst<\/a> \ud83d\udd39<a href=\"https:\/\/www.coursera.org\/articles\/what-does-a-data-engineer-do-and-how-do-i-become-one\">How To Become A Data Engineer In 2024<\/a><\/div>\r\n<div class=\"tile\">\r\n<h2 style=\"text-align: center;\">\ud83c\udfa5 Free Video Tutorials \u27a4<\/h2>\r\n\ud83d\udd39 <a href=\"https:\/\/drive.google.com\/file\/d\/1-tPPkDrqh-B_xNqyzfvCw4NBjfkKp0G_\/view?usp=sharing\">Data Collection (For Beginners)<\/a> \ud83d\udd39<a href=\"https:\/\/drive.google.com\/file\/d\/1ypicCk9OIcnjIMfbp4Ci4VNBtBGAkl93\/view?usp=sharing\">Data Cleaning For Beginners<\/a> \ud83d\udd39<a href=\"https:\/\/drive.google.com\/file\/d\/1cm5c6VWy4C82pv1AktnpQ-ai_Dyjb4uC\/view?usp=drivesdk\">Importing Data For Beginners<\/a> \ud83d\udd39<a href=\"https:\/\/youtu.be\/CUBfrdDwznQ?si=XCstJyjY7vab64Nc\">How To Become A Data Analyst In 2023<\/a> \ud83d\udd39<a href=\"https:\/\/learn.microsoft.com\/en-us\/power-bi\/fundamentals\/videos\">Power BI Tutorial<\/a> \ud83d\udd39<a href=\"https:\/\/youtu.be\/mrOIT6v8_0g?si=1qk_U4b1i9m0cWxJ\">How To Become A Data Scientist In 2024<\/a> \ud83d\udd39<a href=\"https:\/\/youtu.be\/9FVchWw3EbU?si=uuenoAsHovDh75S5\">How To Become A Data Engineer In 2024<\/a><\/div>\r\n<div class=\"tile\">\r\n<h2 style=\"text-align: center;\">\ud83c\udfae Free Data Games \u27a4<\/h2>\r\n\ud83d\udd39 <a href=\"https:\/\/www.simplilearn.com\/free-tableau-course-skillup\">Tableau For Beginners<\/a> \ud83d\udd39 <a href=\"https:\/\/pll.harvard.edu\/course\/principles-statistical-and-computational-tools-reproducible-data-science\">Principles, Statistical And Computational Tools For Data Science<\/a> \ud83d\udd39<a href=\"https:\/\/pll.harvard.edu\/course\/machine-learning-and-ai-python\">Machine Learning And AI, And Python (For Intermediates)<\/a> \ud83d\udd39<a href=\"https:\/\/pll.harvard.edu\/course\/statistics-and-r\">Statistics And R For Intermediates<\/a> \ud83d\udd39<a href=\"https:\/\/pll.harvard.edu\/course\/data-science-r-basics\/2024-10\">Data Science and R Basics For Intermediates<\/a> \ud83d\udd39<a href=\"https:\/\/mode.com\/blog\/python-data-visualization-libraries\">12 Python Data Visualization Libraries To Explore For Business Intelligence<\/a> \ud83d\udd39<a href=\"https:\/\/drive.google.com\/file\/d\/1DKXH1mfcphzsC6UfFXWdDvfNpviybTc2\/view?usp=drivesdk\">Data Visualization Made Easy: With 10 Great Tips.pdf<\/a><\/div>\r\n<div class=\"tile\">\r\n<h2 style=\"text-align: center;\">\ud83c\udfa7 Free Podcasts \u27a4<\/h2>\r\n\ud83d\udd39 <a href=\"https:\/\/drive.google.com\/file\/d\/1iHQ9bHxsjQ_PRE55SkJYB8nfZxzbLVvn\/view?usp=drivesdk\">Welcome To DataViz Explorer<\/a> \ud83d\udd39<a href=\"https:\/\/drive.google.com\/file\/d\/1lTkwrsD7kItqVew_fJkiV4bbcGGeetWq\/view?usp=drivesdk\">Data Visualization Made Easy Podcast 2<\/a> \ud83d\udd39<a href=\"https:\/\/drive.google.com\/file\/d\/1lnmPJgzoaswFbWskRUl9DeiuVmN-mq1E\/view?usp=drivesdk\">Data Visualization Made Easy Podcast 3<\/a> \ud83d\udd39<a href=\"https:\/\/drive.google.com\/file\/d\/1hyOt88n8Bl0XSZfkhJXes04qvBc0p6to\/view?usp=drivesdk\">Bulletproof Mindset Podcast 2<\/a> \ud83d\udd39<a href=\"https:\/\/drive.google.com\/file\/d\/1jBJ0e7q2R5Yi2jU3ozKneXh5yPPcW96u\/view?usp=drivesdk\">Bulletproof Mindset Podcast 4<\/a><\/div>\r\n<!-- Blank tiles for future content -->\r\n<div class=\"tile\">\r\n<h2 style=\"text-align: center;\">\u00a0<\/h2>\r\n<\/div>\r\n<div class=\"tile\">\r\n<h2 style=\"text-align: center;\">\u00a0<\/h2>\r\n<\/div>\r\n<\/div>\r\n<script>\r\ndocument.addEventListener(\"DOMContentLoaded\", function() {\r\n  const tiles = document.querySelectorAll('.tile');\r\n  tiles.forEach((tile, index) => {\r\n    setTimeout(() => {\r\n      tile.style.opacity = 1;\r\n      const links = tile.querySelectorAll('a');\r\n      links.forEach((link, i) => {\r\n        setTimeout(() => {\r\n          link.style.opacity = 1;\r\n          link.style.transform = 'translateY(0)';\r\n        }, i * 80);\r\n      });\r\n    }, index * 150);\r\n\r\n    tile.addEventListener('click', () => {\r\n      tile.classList.add('flash');\r\n      setTimeout(() => { 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Sources \ud83d\udd3d <\/button><\/span>\r\n<div id=\"sourcesList\" style=\"overflow: hidden; max-height: 0; transition: max-height 0.5s ease; margin-top: 10px; font-size: 0.8em; line-height: 1.6;\">\r\n<ul style=\"padding-left: 20px; margin: 0;\">\r\n<li style=\"list-style-type: none;\">\r\n<ul style=\"padding-left: 20px; margin: 0;\">\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/www.kaggle.com\/datasets\" target=\"_blank\" rel=\"noopener\">Kaggle Datasets<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/datasetsearch.research.google.com\/\" target=\"_blank\" rel=\"noopener\">Google Dataset Search<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/archive.ics.uci.edu\/ml\/index.php\" target=\"_blank\" rel=\"noopener\">UCI Machine Learning Repository<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/www.data.gov\/\" target=\"_blank\" rel=\"noopener\">Data.gov (USA)<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/data.worldbank.org\/\" target=\"_blank\" rel=\"noopener\">World Bank Open Data<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/data.fivethirtyeight.com\/\" target=\"_blank\" rel=\"noopener\">FiveThirtyEight Datasets<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/data.europa.eu\/en\" target=\"_blank\" rel=\"noopener\">EU Open Data Portal<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/github.com\/awesomedata\/awesome-public-datasets\" target=\"_blank\" rel=\"noopener\">Awesome Public Datasets<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/data.un.org\/\" target=\"_blank\" rel=\"noopener\">UN Data<\/a><\/span><\/li>\r\n<li><span style=\"font-family: helvetica;\"><a href=\"https:\/\/www.openstreetmap.org\/\" target=\"_blank\" rel=\"noopener\">OpenStreetMap (OSM)<\/a><\/span><\/li>\r\n<\/ul>\r\n<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/br>\r\n<p>&nbsp;<\/p>\r\n<\/ul>\r\n<\/div>\r\n<p><span style=\"font-family: helvetica;\"><script>\r\n  document.addEventListener(\"DOMContentLoaded\", function () {\r\n    const toggleButton = document.getElementById(\"toggleSources\");\r\n    const sourceList = document.getElementById(\"sourcesList\");\r\n\r\n    toggleButton.addEventListener(\"click\", function () {\r\n      const isCollapsed = sourceList.style.maxHeight === \"0px\" || !sourceList.style.maxHeight;\r\n      sourceList.style.maxHeight = isCollapsed ? sourceList.scrollHeight + \"px\" : \"0\";\r\n    });\r\n  });\r\n<\/script><\/span><\/p>\r\n<p><span style=\"font-family: helvetica;\"><script>\r\n  \/\/ \u2705 JavaScript: Allow only one accordion open at a time\r\n  document.querySelectorAll('.datasets-header').forEach(header => {\r\n    header.addEventListener('click', function () {\r\n      const currentWrapper = 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These are hands-on and ideal for preparing for assessments or real-world use.<\/span><\/p>\r\n<h3><span style=\"font-family: helvetica; font-size: 20px;\">\ud83e\uddeaPractice Task 1: Customer Contact Fix<\/span><\/h3>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\ud83d\udcc2 File Provided:<\/strong> <a style=\"color: #000; text-decoration: underline;\" href=\"https:\/\/www.briandunning.com\/sample-data\/US-500.csv\" target=\"_blank\" rel=\"noopener\">customer-contacts.csv<\/a><\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\ud83d\udcc2 File Provided:<\/strong> <a style=\"color: #000; text-decoration: underline;\" href=\"https:\/\/api.slingacademy.com\/v1\/sample-data\/files\/customers.csv\" target=\"_blank\" rel=\"noopener\">contact-customers.csv<\/a><\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong>Skills Covered:<\/strong> Removing nulls, standardizing text, fixing column types.<\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica;\"><strong>\u2705<span style=\"font-size: 18px;\"> Task Instructions:<\/span><\/strong><\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\">Import the dataset into Power BI.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\">Remove rows with missing email addresses.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\">Convert all names to proper case (e.g., &#8220;john doe&#8221; \u2192 &#8220;John Doe&#8221;).<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\">Standardize phone numbers to the format <code>(XXX) XXX-XXXX<\/code>.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\">Remove duplicate rows.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\ud83d\udcdd Bonus:<\/strong> Add a column to label contacts missing a phone number as \u201cIncomplete\u201d.<\/span><\/p>\r\n<div style=\"background-color: #fff; color: #000; font-family: Helvetica, Arial, sans-serif; line-height: 1.6; overflow-wrap: break-word; word-wrap: break-word; word-break: break-word;\"><hr \/>\r\n<h3>\u00a0<\/h3>\r\n<h3><span style=\"font-family: helvetica; font-size: 20px;\">\ud83e\uddeaPractice Task 2: Sales Data <strong>Merge<\/strong><\/span><\/h3>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\ud83d\udcc2<\/strong>Files Provided:<\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000; text-decoration: underline; text-decoration-color: #000;\" href=\"https:\/\/datavizexplorer.org\/files\/monthly-sales-jan-feb.csv\">\ud83d\udcc4monthly-sales-jan-feb.csv<\/a><\/span><\/li>\r\n\u00a0\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000; text-decoration: underline; text-decoration-color: #000;\" href=\"https:\/\/datavizexplorer.org\/files\/product-sales-whole-year.csv\">\ud83d\udcc4product-sales-whole-year.csv<\/a><\/span><\/li>\r\n\u00a0\r\n<li><span style=\"font-family: helvetica;\"><a style=\"color: #000; text-decoration: underline; text-decoration-color: #000;\" href=\"https:\/\/datavizexplorer.org\/files\/product-details.pbix\">\ud83d\udccaproduct-details.pbix<\/a><\/span><\/li>\r\n<\/ul>\r\n<p><span style=\"font-family: helvetica;\"><strong>\ud83e\udde0Skills Covered:<\/strong> Appending, merging queries, replacing values, transforming data types.<\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-size: 18px;\"><strong><span style=\"font-family: helvetica;\">\u2705Task Instructions:<\/span><\/strong><\/span><\/p>\r\n<ol>\u00a0\r\n<li><span style=\"font-family: helvetica;\">Append the January and February sales files into a single table.<\/span><\/li>\r\n\u00a0\r\n<li><span style=\"font-family: helvetica;\">Merge with the product details table using <code>ProductID<\/code>.<\/span><\/li>\r\n\u00a0\r\n<li><span style=\"font-family: helvetica;\">Replace null values in the <code>Price<\/code> column with 0.<\/span><\/li>\r\n\u00a0\r\n<li><span style=\"font-family: helvetica;\">Ensure <code>Quantity Sold<\/code> and <code>Price<\/code> columns are numeric.<\/span><\/li>\r\n\u00a0\r\n<li><span style=\"font-family: helvetica;\">Add a calculated column: <code>Total Sales = Quantity \u00d7 Price<\/code>.<\/span><\/li>\r\n<\/ol>\r\n<p><span style=\"font-family: helvetica;\"><strong>\ud83d\udcddBonus:<\/strong> Sort the data by total sales in descending so that the highest sales appear at the top.<\/span><\/p>\r\n<p><span style=\"font-family: helvetica;\"><em>(Optional extra step for even more insight)<\/em> \u2014 Add a Rank column:<\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><strong>In Power Query:<\/strong> Use \u201cAdd Index Column\u201d after sorting, then rename it \u201cSales Rank.\u201d<\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><strong>In DAX:<\/strong> Create a measure like:<\/li>\r\n<li style=\"list-style-type: none;\"><span style=\"font-family: helvetica;\">\u00a0 <code>\r\n\u00a0 Sales Rank = RANKX(\r\n\u00a0 \u00a0 ALL('MergedSales'),\r\n\u00a0 \u00a0 'MergedSales'[Total Sales],\r\n\u00a0 \u00a0 ,\r\n\u00a0 \u00a0 DESC,\r\n\u00a0 \u00a0 Dense\r\n\u00a0 )\r\n\u00a0 <\/code><\/span>\r\n<ul>\u00a0\u00a0<\/ul>\r\n<\/li>\r\n<\/ul>\r\n<div>\r\n<div><br \/><span style=\"font-family: helvetica;\">\u00a0<\/span><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div style=\"border: 4px solid #4e3824; padding: 20px; margin: 30px auto; border-radius: 6px; background-color: #fff; color: #000; font-family: Helvetica, 'Helvetica Neue;\">\r\n<h2 style=\"font-size: 1.6em; margin-bottom: 15px;\">\u00a0<\/h2>\r\n<h3><span style=\"font-family: helvetica; font-size: 20px;\">\ud83e\uddea Practice Task 3: Website Log Clean-Up<\/span><\/h3>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica;\"><strong>\ud83d\udcc2<span style=\"font-size: 18px;\"> File Provided:<\/span><\/strong><span style=\"font-size: 18px;\"> <a style=\"color: #000; text-decoration: underline;\" href=\"https:\/\/exploratory.io\/data\/kanaugust\/Sample-Access-Log-Data-rSs3VBh1TJ?format=csv\" target=\"_blank\" rel=\"noopener\">site-logs.csv<\/a><\/span><\/span><\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\"><strong>Skills Covered:<\/strong> Filtering rows, replacing errors, formatting columns, handling dates.<\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\"><strong>\u2705 Task Instructions:<\/strong><\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Remove any rows where \u201cSessionID\u201d is null.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Replace error values in the \u201cDuration\u201d column with 0.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Format \u201cVisit Date\u201d as a valid Date.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Trim whitespace in the \u201cUser Agent\u201d column.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Remove duplicates.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\"><strong>\ud83d\udcdd Bonus:<\/strong> Create a grouped summary of total sessions per browser type.<\/span><\/p>\r\n<hr \/>\r\n<h3>\u00a0<\/h3>\r\n<h3><span style=\"font-family: helvetica; font-size: 20px;\">\ud83e\uddea Practice Task 4: Survey Response Cleanup<\/span><\/h3>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica;\"><strong>\ud83d\udcc2 File Provided:<\/strong> <\/span><\/p>\r\n<p><span style=\"font-family: helvetica;\"><a style=\"color: #000; text-decoration: underline;\" href=\"https:\/\/people.sc.fsu.edu\/~jburkardt\/data\/csv\/grades.csv\" target=\"_blank\" rel=\"noopener\">\ud83d\udcc4 survey-data.xlsx<\/a><\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica;\"><strong>\ud83d\udcc2 File Provided:<\/strong> <\/span><\/p>\r\n<p><span style=\"font-family: helvetica;\"><a style=\"color: #000; text-decoration: underline;\" href=\"https:\/\/plos.figshare.com\/articles\/dataset\/Survey_dataset_\/13368247?file=25759849\" target=\"_blank\" rel=\"noopener\">\ud83d\udcc4 survey.data.xlsx<\/a><\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\"><strong>\ud83e\udde0Skills Covered:<\/strong> Conditional replacement, column renaming, filtering nulls, value mapping.<\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\"><strong>\u2705 Task Instructions:<\/strong><\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Replace all instances of \u201cN\/A\u201d in the \u201cAge\u201d column with null.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Remove responses where \u201cConsent\u201d is marked as \u201cNo\u201d.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Rename columns to be more descriptive (e.g., \u201cQ1\u201d \u2192 \u201cOverall Satisfaction\u201d).<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Map values in a new column: \u201cVery Satisfied\u201d = 5, \u201cSatisfied\u201d = 4, etc.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Convert all responses to lowercase.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 18px;\"><strong>\ud83d\udcdd Bonus:<\/strong> Create a \u201cCleaned Survey\u201d query and load only selected columns.<\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<hr \/>\r\n<h3><span style=\"font-family: helvetica; font-size: 18px;\">\u2705 Submission Guidelines<\/span><\/h3>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Complete your practice using Power BI Desktop.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Save your .pbix file with each task labeled in separate queries.<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 18px;\">Optional: Submit to your instructor\/mentor for feedback or portfolio review.<\/span><\/li>\r\n<\/ul>\r\n<h2 style=\"font-size: 1.6em; margin-bottom: 15px;\"><span style=\"font-family: helvetica;\"><!-- Download Button --><\/span><\/h2>\r\n<p style=\"text-align: center; margin-top: 30px;\"><span style=\"font-family: helvetica;\"><a style=\"background-color: #4e3824; color: #ffffff; padding: 12px 24px; border-radius: 6px; text-decoration: none; font-weight: bold;\" href=\"https:\/\/1drv.ms\/u\/c\/027e1fedefa3ce35\/EZIqZNDrSMlPvL0WA3BtclUBjKdgA9By82I242FNGle4RA?e=JxYyvG\" download=\"\"> \u2b07\ufe0f Download All Practice Files (.zip)<\/a><\/span><\/p>\r\n<\/div>\r\n<\/br> \r\n<\/ul><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\"><\/span>\r\n<span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\"><\/span><p><\/span><\/p>\r\n<div style=\"border: 4px solid #4e3824; padding: 20px; margin: 30px auto; border-radius: 6px; background-color: #fff; color: #000; font-family: Helvetica, 'Helvetica Neue;\">\r\n<h2 style=\"font-size: 1.6em; margin-bottom: 15px;\">\u00a0<\/h2>\r\n<h3 style=\"margin-top: 0; color: #000;\"><span style=\"font-family: helvetica; font-size: 20px;\">\ud83d\udcda A. Study Guides<\/span><\/h3>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/datawranglingpy.gagolewski.com\" target=\"_blank\" rel=\"noopener\">Data Cleaning Revision Guide<\/a><\/span><\/li>\r\n<\/ul>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><em style=\"color: #000;\">Minimalist Data Wrangling with Python<\/em> \u2013 a free PDF\/book covering core data cleaning techniques in Python (Pandas), ideal as a reference companion.<\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.kaggle.com\/search?q=data+cleaning\" target=\"_blank\" rel=\"noopener\">Data Cleaning Practice Papers<\/a><\/span><\/li>\r\n<\/ul>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong style=\"color: #000;\">Kaggle Notebooks<\/strong> \u2013 look up &#8220;data cleaning&#8221; on Kaggle to find shared notebooks and hands-on examples.<\/span><\/p>\r\n<h3>\u00a0<\/h3>\r\n<h3 style=\"margin-top: 1.5em; color: #000;\"><span style=\"font-family: helvetica; font-size: 16px;\">\ud83d\udcdd B. Practice Tests &amp; Mock Exams<\/span><\/h3>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\">\ud83c\udfaf 1. <strong style=\"color: #000;\">Data Cleansing using Python \u2013 Free Online Practice Test (TestPrepTraining)<\/strong><\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.testpreptraining.com\/data-cleansing-using-python-free-practice-test\" target=\"_blank\" rel=\"noopener\">Data Cleaning Practice Test Paper 1<\/a><\/span><\/li>\r\n<\/ul>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\">Take a 100-question interactive test for Python-based data cleaning. <em>(Note: some follow-up content is paid, but the initial practice is free.)<\/em><\/span><\/p>\r\n<p>&nbsp;<\/p>\r\n<h4><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\ud83c\udfaf 2. Data Science with Python \u2013 Free Practice Exam<\/strong><\/span><\/h4>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.simplilearn.com\/data-science-python-exam-free-practice-test\" target=\"_blank\" rel=\"noopener\">Data Cleansing using Python \u2013 Free Practice Test (Simplilearn)<\/a><\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<h5><span style=\"font-family: helvetica; font-size: 16px;\">\u25b6\ufe0f 3. <strong>Theory &amp; Practice of Data Cleaning Quiz<\/strong> \u2013 A <strong>15-question<\/strong> multiple-choice quiz covering schema-level cleaning, outliers, duplicates, and more.<\/span><\/h5>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.quiz-maker.com\/cp-uni-theory-practice-data-cleaning-quiz\" target=\"_blank\" rel=\"noopener\">Take the free quiz (Quiz-Maker)<\/a><\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\u25b6\ufe0f 4. Data Cleaning Test<\/strong> \u2013 A <strong>12-question, 20-minute<\/strong> test focusing on practical skills like duplicate removal and outlier detection.<\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.alooba.com\/tests\/data-cleaning-skill-test\/\" target=\"_blank\" rel=\"noopener\">Try the Data Cleaning Skill Test (Alooba)<\/a><\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<p><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\u25b6\ufe0f 5. Quiz: Data Exploration and Cleaning<\/strong> \u2013 A <strong>50-question<\/strong> interactive quiz that reinforces data cleaning concepts learned in Python, including integrity checks and data validation.<\/span><\/p>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.educative.io\/courses\/data-science-projects-with-python\/quiz-data-exploration-and-cleaning\" target=\"_blank\" rel=\"noopener\">Start the Data Exploration &amp; Cleaning Quiz (Educative)<\/a><\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<h4><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\u2714\ufe0f 6. Data Science with Python \u2013 Free Practice Mock Exam<\/strong><\/span><\/h4>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.simplilearn.com\/data-science-python-exam-free-practice-test\" target=\"_blank\" rel=\"noopener\">Free 50-question Data Science with Python Mock Exam (Simplilearn)<\/a> \u2013 It takes 60 minutes to complete, multiple choice format, unlimited reattempts.\u00a0<\/span><\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>\r\n<h4><span style=\"font-family: helvetica; font-size: 16px;\"><strong>\u2714\ufe0f 7. Data Cleansing using Python \u2013 Free Practice Mock Test<\/strong><\/span><\/h4>\r\n<ul>\r\n<li><span style=\"font-family: helvetica; font-size: 16px;\"><span style=\"font-family: helvetica; font-size: 16px;\"><a style=\"color: #000;\" href=\"https:\/\/www.testpreptraining.com\/data-cleansing-using-python-free-practice-test\" target=\"_blank\" rel=\"noopener\">Take the free Python cleansing test (100 questions) (Testpreptraining)<\/a> \u2013 A 100-question interactive test for Python-based data cleaning.<\/span><\/span><hr class=\"my-4 border-gray-300\" \/><\/li>\r\n<\/ul>\r\n<\/div>\r\n<div style=\"border: 4px solid #4e3824; padding: 20px; margin: 30px auto; border-radius: 6px; background-color: #fff; color: #000; font-family: Helvetica, 'Helvetica Neue;\">\r\n<p class=\"\" style=\"text-align: center; color: black;\"><span style=\"font-family: helvetica;\"><strong>Copyright Disclaimer<\/strong><\/span><\/p>\r\n<p class=\"\" style=\"text-align: center; color: black;\"><span style=\"font-family: helvetica;\"><em style=\"font-size: 12px; color: black;\">\u201cThis website includes copyrighted material from other websites. This material is used for educational, informational and commentary purposes, which falls under the fair use doctrine of copyright law. No copyright infringement is intended.\u201d Therefore, the copyright owners are the true and rightful owners of their \u2018property&#8217;. <\/em><\/span><\/p>\r\n<\/div>\r\n<div style=\"border: 4px solid #654321; padding: 10px; background-color: #ffffff; text-align: center;\">\r\n<div class=\"max-w-[1100px] mx-auto\">\r\n<div class=\"flex items-center justify-center py-4 px-3 rounded-md bg-white text-black\" style=\"background-color: #ffffff;\"><span style=\"font-size: 1rem; color: black;\"> <span style=\"font-weight: bold;\">DataViz Explorer<\/span> C.A.I.P.O Barbados Business Registration \u211687900\u00ae <\/span><\/div>\r\n<\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcda Study Resources Explore tutorials, revision guides, practice papers, and more to sharpen your data skills. \ud83d\udcca Datasets Used in This Guide The study guides and practice paper sets used on this website are publicly available datasets from reputable sources such as Kaggle, GitHub, and UCI Machine Learning Repository. 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