{"id":38631,"date":"2025-06-11T02:21:43","date_gmt":"2025-06-11T06:21:43","guid":{"rendered":"https:\/\/statanalytica.com\/blog\/?p=38631"},"modified":"2025-06-11T02:21:47","modified_gmt":"2025-06-11T06:21:47","slug":"entry-level-data-analyst-skills","status":"publish","type":"post","link":"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/","title":{"rendered":"Top Skills You Need to Become an Entry Level Data Analyst"},"content":{"rendered":"\n<p>In today\u2019s data-driven world, organizations across every industry are making decisions based on numbers. That\u2019s where data analysts come in. Whether you want to work in finance, marketing, healthcare, or tech, becoming a data analyst is one of the best ways to enter the field of analytics. But before you can land your first job, you\u2019ll need to build a solid foundation of entry level data analyst skills.<\/p>\n\n\n\n<p>In this blog, we\u2019ll walk you through the essential skills you need, how to develop them, and why each one matters. Whether you\u2019re a student, a career switcher, or just curious about data analytics, this guide is for you.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-does-an-entry-level-data-analyst-do\"><\/span>What Does an Entry Level Data Analyst Do?<span class=\"ez-toc-section-end\"><\/span><\/h2><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a07be6da33be\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ff5104;color:#ff5104\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ff5104;color:#ff5104\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a07be6da33be\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#what-does-an-entry-level-data-analyst-do\" >What Does an Entry Level Data Analyst Do?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#1-strong-excel-and-spreadsheet-skills\" >1. Strong Excel and Spreadsheet Skills<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#2-basic-sql-knowledge\" >2. Basic SQL Knowledge<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#3-understanding-of-data-cleaning-techniques\" >3. Understanding of Data Cleaning Techniques<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#4-data-visualization-and-reporting\" >4. Data Visualization and Reporting<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#5-familiarity-with-basic-statistics\" >5. Familiarity with Basic Statistics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#6-beginner-level-python-or-r-skills\" >6. Beginner-Level Python or R Skills<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#7-communication-and-presentation-skills\" >7. Communication and Presentation Skills<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#8-business-acumen\" >8. Business Acumen<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#9-attention-to-detail\" >9. Attention to Detail<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#10-problem-solving-mindset\" >10. Problem-Solving Mindset<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#how-to-develop-entry-level-data-analyst-skills\" >How to Develop Entry-Level Data Analyst Skills<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#what-employers-look-for-in-entry-level-data-analysts\" >What Employers Look For in Entry Level Data Analysts<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#conclusion\" >conclusion<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#do-i-need-to-learn-coding-to-become-a-data-analyst\" >Do I need to learn coding to become a data analyst?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#can-i-become-a-data-analyst-without-a-degree-in-data-science-or-computer-science\" >Can I become a data analyst without a degree in data science or computer science?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/statanalytica.com\/blog\/entry-level-data-analyst-skills\/#do-companies-hire-entry-level-data-analysts-without-experience\" >Do companies hire entry-level data analysts without experience?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<p>You\u2019ll likely work on spreadsheets, dashboards, and databases, using various tools to help turn raw numbers into meaningful information.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"1-strong-excel-and-spreadsheet-skills\"><\/span>1. Strong Excel and Spreadsheet Skills<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>When you\u2019re just starting, one of the most important entry level data analyst skills you can learn is how to use Excel or other spreadsheet software. Despite the rise of advanced tools like Python and SQL, Excel remains a staple in the data world.<\/p>\n\n\n\n<p>Excel helps you organize data, perform calculations, build pivot tables, and use functions like VLOOKUP, INDEX MATCH, and conditional formatting. These skills are often tested in interviews for entry-level positions, so make sure you\u2019re comfortable with formulas and charts.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"2-basic-sql-knowledge\"><\/span>2. Basic SQL Knowledge<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Another essential entry-level data analyst skill is understanding SQL. SQL is the language used to communicate with databases, and as an analyst, you\u2019ll frequently need to pull data from different tables or join information across multiple sources.<\/p>\n\n\n\n<p>Learning how to write simple SELECT queries, filter data with WHERE conditions, and join tables will give you a serious advantage. Many companies have huge datasets stored in relational databases, and SQL is your key to unlocking them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"3-understanding-of-data-cleaning-techniques\"><\/span>3. Understanding of Data Cleaning Techniques<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>You\u2019ve probably heard the saying, \u201cGarbage in, garbage out.\u201d That\u2019s especially true in data analytics. One of the core entry-level data analyst skills is the ability to clean and prepare raw data before it can be analyzed.<\/p>\n\n\n\n<p>Cleaning data means handling missing values, removing duplicates, correcting errors, and making sure everything is formatted correctly. Whether you&#8217;re using Excel, Python (Pandas), or SQL, knowing how to clean data is a must-have skill that you\u2019ll use almost every day on the job.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"4-data-visualization-and-reporting\"><\/span>4. Data Visualization and Reporting<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>A big part of being a data analyst is helping others understand what the numbers are saying. That\u2019s why data visualization is a crucial entry level data analyst skill.<\/p>\n\n\n\n<p>Learning how to build charts, dashboards, and graphs using tools like Tableau, Power BI, or even Excel will help you present insights clearly and effectively. A good visual can make complex findings easy to understand and drive decision-making across the business.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"5-familiarity-with-basic-statistics\"><\/span>5. Familiarity with Basic Statistics<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>To make sense of data, you need a basic understanding of statistics. This is one of the foundational, entry-level data analyst skills that help you go beyond simple number-crunching.<\/p>\n\n\n\n<p>You don\u2019t need to be a math genius, but knowing concepts like mean, median, standard deviation, correlation, and hypothesis testing can help you interpret data accurately and avoid drawing the wrong conclusions. These skills are especially helpful when working on surveys, A\/B testing, or performance analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"6-beginner-level-python-or-r-skills\"><\/span>6. Beginner-Level Python or R Skills<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Among the most practical entry-level data analyst skills, knowing how to use libraries like Pandas, NumPy, or ggplot2 can speed up your workflow and give you access to more advanced analysis tools when you&#8217;re ready.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"7-communication-and-presentation-skills\"><\/span>7. Communication and Presentation Skills<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>It\u2019s not just about numbers. One of the often overlooked entry level data analyst skills is communication. You need to be able to explain your findings in a way that makes sense to non-technical teammates, managers, or clients.<\/p>\n\n\n\n<p>This means writing clear summaries, building simple slide decks, and being able to talk through your process and conclusions. Good communication ensures that your hard work doesn\u2019t go to waste and that your insights lead to action.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"8-business-acumen\"><\/span>8. Business Acumen<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Understanding the business side of things is another valuable entry-level data analyst skill. Knowing what metrics matter in your industry\u2014whether it\u2019s customer churn, revenue per user, or conversion rates\u2014can help you focus your analysis and add real value.<\/p>\n\n\n\n<p>Try to learn how different departments operate, what their goals are, and how data can help them improve performance. The more context you have, the better your insights will be.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"9-attention-to-detail\"><\/span>9. Attention to Detail<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Among the most important entry-level data analyst skills is attention to detail. A small mistake in a formula or a missed value in a dataset can completely change the outcome of your analysis.<\/p>\n\n\n\n<p>You\u2019ll need to double-check your work, verify assumptions, and be able to spot patterns and anomalies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"10-problem-solving-mindset\"><\/span>10. Problem-Solving Mindset<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Every dataset tells a story, but it doesn\u2019t always shout it out. Problem-solving is a soft but essential entry level data analyst skill that will help you uncover hidden insights and improve business outcomes.<\/p>\n\n\n\n<p>Think of yourself as a detective\u2014what question are you trying to answer? What evidence do you have? What\u2019s missing? This mindset will guide your analysis in the right direction.<\/p>\n\n\n\n<p class=\"has-pale-ocean-gradient-background has-background\">Also Read: <a href=\"https:\/\/statanalytica.com\/blog\/data-analytics-in-education\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Analytics in Education: A New Era of Smarter Learning<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"how-to-develop-entry-level-data-analyst-skills\"><\/span>How to Develop Entry-Level Data Analyst Skills<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>If you&#8217;re wondering how to get started, here are a few practical steps:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Take Online Courses: Platforms like Coursera, edX, and Udemy offer beginner-friendly courses in Excel, SQL, Python, and more.<\/li>\n\n\n\n<li>Practice on Real Datasets: Websites like Kaggle and DataCamp give you access to real-world data challenges.<\/li>\n\n\n\n<li>Use Free Tools: Many tools like Tableau Public, Google Sheets, and SQLite are available for free to help you practice.<\/li>\n\n\n\n<li>Join Communities: Reddit, LinkedIn groups, and data Slack channels can be great places to connect and learn from others.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-employers-look-for-in-entry-level-data-analysts\"><\/span>What Employers Look For in Entry Level Data Analysts<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>When hiring entry-level analysts, employers often focus more on skills and potential than on experience. Here\u2019s what they typically want:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A basic understanding of data tools (Excel, SQL, Python, Tableau)<\/li>\n\n\n\n<li>A portfolio that shows your ability to analyze and present data<\/li>\n\n\n\n<li>Willingness to learn and adapt<\/li>\n\n\n\n<li>Strong communication and teamwork<\/li>\n\n\n\n<li>A logical, structured approach to solving problems<\/li>\n<\/ul>\n\n\n\n<p>Even if you don\u2019t check every box, showing passion and effort can take you a long way.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"conclusion\"><\/span>conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Breaking into the world of data analytics might seem overwhelming at first, but the<a href=\"https:\/\/en.wikipedia.org\/wiki\/Truth\" target=\"_blank\" rel=\"noreferrer noopener\"> truth<\/a> is\u2014every expert once started as a beginner. By focusing on the right entry level data analyst skills, like learning spreadsheets, getting familiar with SQL, and practicing how to clean and present data, you&#8217;re already on the right track.<\/p>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1749622368315\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"do-i-need-to-learn-coding-to-become-a-data-analyst\"><\/span>Do I need to learn coding to become a data analyst?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Not necessarily at the beginning. Many entry-level data analysts start with tools like Excel and SQL. Learning basic Python or R can help you grow faster, but it&#8217;s not always a requirement for your first job.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1749622392631\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"can-i-become-a-data-analyst-without-a-degree-in-data-science-or-computer-science\"><\/span>Can I become a data analyst without a degree in data science or computer science?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, you can! Many successful data analysts come from backgrounds like business, economics, math, or even the humanities. What matters most is your skillset, problem-solving ability, and willingness to learn.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1749622431466\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"do-companies-hire-entry-level-data-analysts-without-experience\"><\/span>Do companies hire entry-level data analysts without experience?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes! Many companies are open to hiring beginners who show potential, have the right foundational skills, and can demonstrate their learning through projects or portfolios.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In today\u2019s data-driven world, organizations across every industry are making decisions based on numbers. That\u2019s where data analysts come in. Whether you want to work in finance, marketing, healthcare, or tech, becoming a data analyst is one of the best ways to enter the field of analytics. But before you can land your first job, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":38633,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[139],"tags":[],"class_list":["post-38631","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analytics"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/38631","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/comments?post=38631"}],"version-history":[{"count":1,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/38631\/revisions"}],"predecessor-version":[{"id":38634,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/38631\/revisions\/38634"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media\/38633"}],"wp:attachment":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media?parent=38631"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/categories?post=38631"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/tags?post=38631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}