{"id":144887,"date":"2026-10-28T17:28:20","date_gmt":"2026-10-28T11:58:20","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=144887"},"modified":"2026-10-28T17:28:22","modified_gmt":"2026-10-28T11:58:22","slug":"banking-skills-for-data-analytics","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/banking-skills-for-data-analytics\/","title":{"rendered":"Banking Skills That Transfer to Data Analytics"},"content":{"rendered":"\n<p>If you have fewer than four years of experience in a non-IT banking role, you already bring useful skills to data analytics. Accuracy, reporting, reconciliation, and customer problem-solving provide a foundation. Your next step is to learn Excel, SQL, and Power BI, then prove your ability through small, relevant projects.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>TL;DR<\/strong><\/h2>\n\n\n\n<ul>\n<li>Banking experience in reporting, reconciliation, and compliance provides a foundation for data analytics.<\/li>\n\n\n\n<li>Learn Excel, SQL, and Power BI to analyse data and build dashboards.<\/li>\n\n\n\n<li>Practise with banking projects involving transaction trends, loan applications, and branch performance.<\/li>\n\n\n\n<li>Build a portfolio using public or synthetic datasets to demonstrate your analytical skills.<\/li>\n\n\n\n<li>Target entry-level roles such as MIS Analyst, Reporting Analyst, and Banking Data Analyst.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Quick Answer<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>Early-career banking professionals can move into data analytics by learning Excel, SQL, and Power BI and demonstrating their skills through practical projects. Explore this banking analytics project on GitHub for an example of how financial data can support analysis and reporting.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=banking-skills-for-data-analytics\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<svg class=\"guvi-btn-chevron\" style=\"transform:rotate(0deg);\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M9.39935 18.1007C9.0674 17.7687 9.0674 17.2305 9.39935 16.8986L13.6922 12.6057C13.7508 12.5471 13.7508 12.4521 13.6922 12.3935L9.39935 8.10065C9.0674 7.7687 9.0674 7.23051 9.39935 6.89857C9.7313 6.56662 10.2695 6.56662 10.6014 6.89857L14.8943 11.1915C15.6168 11.9139 15.6168 13.0853 14.8943 13.8078L10.6014 18.1007C10.2695 18.4326 9.7313 18.4326 9.39935 18.1007Z\" fill=\"currentColor\"\/><\/svg><\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Identify Your Transferable Banking Skills<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Data Accuracy and Attention to Detail<\/strong><\/h3>\n\n\n\n<p>Banking employees regularly verify transaction records, customer details, account information, and supporting documents. These responsibilities develop attention to detail, which helps analysts identify missing values, duplicate records, and inconsistencies before concluding.<\/p>\n\n\n\n<p>Highlight relevant responsibilities on your resume:<\/p>\n\n\n\n<ul>\n<li>Verifying records and checking data accuracy.<\/li>\n\n\n\n<li>Investigating discrepancies during reconciliation.<\/li>\n\n\n\n<li>Maintaining documentation and following established procedures.<\/li>\n\n\n\n<li>Preparing reports and checking figures before submission.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Reporting and Problem-Solving<\/strong><\/h3>\n\n\n\n<p>Preparing <a href=\"https:\/\/www.guvi.in\/blog\/claude-writing-white-papers-and-industry-reports\/\" target=\"_blank\" rel=\"noreferrer noopener\">reports<\/a>, resolving customer queries, and following compliance procedures also develop useful analytical habits. These tasks involve checking information, identifying problems, and understanding why something requires attention.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.guvi.in\/hub\/data-analytics-tutorial\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data analytics<\/a> extends these habits through structured analysis, calculations, and <a href=\"https:\/\/www.guvi.in\/blog\/data-visualization-in-data-science\/\" target=\"_blank\" rel=\"noreferrer noopener\">visualisation<\/a>. Your banking knowledge provides business context, while your technical skills demonstrate your ability to investigate questions using data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Connect Banking Experience to Analytical Work<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Translate Routine Tasks into Analytical Applications<\/strong><\/h3>\n\n\n\n<p>Your existing responsibilities can help you understand common analytical problems. Transaction verification connects with data validation, reconciliation connects with discrepancy analysis, and recurring reports connect with dashboard development.<\/p>\n\n\n\n<p>For example, a daily transaction report can become a project that examines monthly totals, transaction categories, and changes over time. <a href=\"https:\/\/www.guvi.in\/blog\/guide-on-sql-for-data-science\/\" target=\"_blank\" rel=\"noreferrer noopener\">SQL<\/a> helps retrieve and summarise records, while Power BI communicates the results visually.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Learn to Communicate Insights<\/strong><\/h3>\n\n\n\n<p>Analysts must explain what the numbers mean, not simply produce charts. Practise explaining the business question, the evidence you found, and the limitations of your conclusions.<\/p>\n\n\n\n<p>Explore<a href=\"https:\/\/www.guvi.in\/hub\/power-bi-tutorial\/\" target=\"_blank\" rel=\"noreferrer noopener\"> Power BI tutorial resources<\/a> to learn how visualisations support reporting. Apply these concepts to banking scenarios so your portfolio connects technical skills with business understanding.<\/p>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-size: 18px; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 750px;\"> \n  <strong style=\"font-size: 22px; color: #FFFFFF;\">\ud83d\udca1 Did You Know?<\/strong> \n  <br \/><br \/> \nBanking domain knowledge can help analysts interpret transactions, reconciliation results, customer requests, and compliance-related information. However, domain knowledge alone does not establish analytical proficiency. Combining it with practical SQL, visualisation, and project work provides stronger evidence of your readiness for an analytics role.\n<\/div>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=banking-skills-for-data-analytics\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<svg class=\"guvi-btn-chevron\" style=\"transform:rotate(0deg);\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M9.39935 18.1007C9.0674 17.7687 9.0674 17.2305 9.39935 16.8986L13.6922 12.6057C13.7508 12.5471 13.7508 12.4521 13.6922 12.3935L9.39935 8.10065C9.0674 7.7687 9.0674 7.23051 9.39935 6.89857C9.7313 6.56662 10.2695 6.56662 10.6014 6.89857L14.8943 11.1915C15.6168 11.9139 15.6168 13.0853 14.8943 13.8078L10.6014 18.1007C10.2695 18.4326 9.7313 18.4326 9.39935 18.1007Z\" fill=\"currentColor\"\/><\/svg><\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Learn the Technical Skills in the Right Order<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Start with Excel and SQL<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.guvi.in\/blog\/excel-to-data-analytics\/\" target=\"_blank\" rel=\"noreferrer noopener\">Excel<\/a> provides a practical starting point for beginners. Learn formulas, lookup functions, sorting, filtering, pivot tables, charts, and data cleaning.<\/p>\n\n\n\n<p>Next, learn SQL to retrieve and analyse information in relational databases. Focus on:<\/p>\n\n\n\n<ul>\n<li>SELECT, WHERE, and ORDER BY for retrieving and filtering records.<\/li>\n\n\n\n<li>GROUP BY and aggregate functions for summarising data.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.guvi.in\/hub\/sql-for-data-science\/sql-joins-explained\/\" target=\"_blank\" rel=\"noreferrer noopener\">Joins<\/a> for combining information from related tables.<\/li>\n<\/ul>\n\n\n\n<p>Practise questions such as calculating monthly transaction totals or comparing application statuses. These exercises help you connect technical concepts with familiar banking situations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Add Power BI and Basic Statistics<\/strong><\/h3>\n\n\n\n<p>Power BI helps turn datasets into interactive reports. Learn to import data, create relationships, build visualisations, use filters, and develop measures that answer specific business questions.<\/p>\n\n\n\n<p>Basic <a href=\"https:\/\/www.guvi.in\/blog\/statistics-fundamentals-for-machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">statistics<\/a> helps you interpret findings responsibly. Understand percentages, averages, distributions, and correlation versus causation before adding Python or more advanced techniques.<\/p>\n\n\n\n<p>Use this guide to<a href=\"https:\/\/www.guvi.in\/hub\/power-bi-tutorial\/designing-an-effective-dashboard-layout\/\" target=\"_blank\" rel=\"noreferrer noopener\"> design effective dashboard layouts<\/a> to improve report clarity. Practise each skill with a small dataset and document the insights your analysis supports.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=banking-skills-for-data-analytics\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<svg class=\"guvi-btn-chevron\" style=\"transform:rotate(0deg);\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M9.39935 18.1007C9.0674 17.7687 9.0674 17.2305 9.39935 16.8986L13.6922 12.6057C13.7508 12.5471 13.7508 12.4521 13.6922 12.3935L9.39935 8.10065C9.0674 7.7687 9.0674 7.23051 9.39935 6.89857C9.7313 6.56662 10.2695 6.56662 10.6014 6.89857L14.8943 11.1915C15.6168 11.9139 15.6168 13.0853 14.8943 13.8078L10.6014 18.1007C10.2695 18.4326 9.7313 18.4326 9.39935 18.1007Z\" fill=\"currentColor\"\/><\/svg><\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Build Banking-Related Portfolio Projects<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Project 1: Transaction Trend Analysis<\/strong><\/h3>\n\n\n\n<p>Analyse transaction volumes, categories, and monthly changes using a public or synthetic dataset. Use SQL to <a href=\"https:\/\/www.guvi.in\/hub\/sql-for-data-science\/sql-aggregate-functions\/\" target=\"_blank\" rel=\"noreferrer noopener\">aggregate <\/a>records and Power BI to present findings, without claiming that unusual activity automatically proves fraud.<\/p>\n\n\n\n<p>Review this<a href=\"https:\/\/github.com\/arjunk-projects\/retail-banking-transaction-analysis\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"> retail banking transaction analysis project<\/a> for a possible reference. Evaluate its relevance, then create your own analysis instead of copying someone else&#8217;s work.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Project 2: Loan Application Analysis<\/strong><\/h3>\n\n\n\n<p>Use synthetic loan application data to examine application volumes, approval rates, application statuses, and processing times. Explain the questions your analysis answers and acknowledge limitations rather than making unsupported conclusions about individual borrowers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Project 3: Branch Performance Dashboard<\/strong><\/h3>\n\n\n\n<p>Create a dashboard using synthetic branch-level measures, such as transaction volumes, service requests, processing times, and monthly targets.<\/p>\n\n\n\n<p>Include clear labels, meaningful filters, and a small number of useful visualisations. For every project, document the business question, dataset, cleaning steps, tools, findings, and limitations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Prepare for Entry-Level Analytics Roles<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Choose Roles That Match Your Experience<\/strong><\/h3>\n\n\n\n<p>Start by exploring roles whose responsibilities align with your current skills:<\/p>\n\n\n\n<ul>\n<li><a href=\"https:\/\/www.guvi.in\/blog\/mis-analyst-to-data-scientist\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>MIS Analyst<\/strong><\/a><strong>:<\/strong> Prepares recurring reports and tracks operational performance.<\/li>\n\n\n\n<li><strong>Reporting Analyst:<\/strong> Produces business reports and monitors performance measures.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.guvi.in\/blog\/operations-assistant-manager-to-data-analytics-or-data-science\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Operations Analyst<\/strong><\/a><strong>:<\/strong> Examines workflows, processing times, and service efficiency.<\/li>\n\n\n\n<li><strong>Banking Data Analyst:<\/strong> Analyses banking-related information to support business decisions.<\/li>\n<\/ul>\n\n\n\n<p>Job titles vary between employers, so review the required tools and responsibilities before applying. Prioritise positions that match your current abilities and offer opportunities to develop analytical experience.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"container-lazyload preview-lazyload container-youtube js-lazyload--not-loaded\"><a href=\"https:\/\/www.youtube.com\/watch?v=IP0Z5hHTY7w&#038;pp=0gcJCTAMAYcqIYzv\" class=\"lazy-load-youtube preview-lazyload preview-youtube\" data-video-title=\"How I Became a Data Analyst at EY | Amruthavarshini Explains How HCL GUVI Shaped Her Career\" title=\"Play video &quot;How I Became a Data Analyst at EY | Amruthavarshini Explains How HCL GUVI Shaped Her Career&quot;\" target=\"_blank\" rel=\"noopener\">https:\/\/www.youtube.com\/watch?v=IP0Z5hHTY7w&#038;pp=0gcJCTAMAYcqIYzv<\/a><noscript>Video can&#8217;t be loaded because JavaScript is disabled: <a href=\"https:\/\/www.youtube.com\/watch?v=IP0Z5hHTY7w&#038;pp=0gcJCTAMAYcqIYzv\" title=\"How I Became a Data Analyst at EY | Amruthavarshini Explains How HCL GUVI Shaped Her Career\" target=\"_blank\" rel=\"noopener\">How I Became a Data Analyst at EY | Amruthavarshini Explains How HCL GUVI Shaped Her Career (https:\/\/www.youtube.com\/watch?v=IP0Z5hHTY7w&#038;pp=0gcJCTAMAYcqIYzv)<\/a><\/noscript><\/div>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Present Your Skills Clearly<\/strong><\/h3>\n\n\n\n<p>Tailor your <a href=\"https:\/\/www.guvi.in\/free-resume-builder\/\" target=\"_blank\" rel=\"noreferrer noopener\">resume<\/a> to each role. Connect genuine banking responsibilities with relevant analytical skills, and include portfolio projects that demonstrate data cleaning, SQL queries, dashboard development, and interpretation of findings.<\/p>\n\n\n\n<p>Prepare to explain your project decisions during interviews. Describe the business question, your approach, the results, and the limitations of your analysis.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=banking-skills-for-data-analytics\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<svg class=\"guvi-btn-chevron\" style=\"transform:rotate(0deg);\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M9.39935 18.1007C9.0674 17.7687 9.0674 17.2305 9.39935 16.8986L13.6922 12.6057C13.7508 12.5471 13.7508 12.4521 13.6922 12.3935L9.39935 8.10065C9.0674 7.7687 9.0674 7.23051 9.39935 6.89857C9.7313 6.56662 10.2695 6.56662 10.6014 6.89857L14.8943 11.1915C15.6168 11.9139 15.6168 13.0853 14.8943 13.8078L10.6014 18.1007C10.2695 18.4326 9.7313 18.4326 9.39935 18.1007Z\" fill=\"currentColor\"\/><\/svg><\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>For non-IT banking professionals with fewer than four years of experience, data analytics offers a practical career direction. Your existing experience provides business context, while technical skills and projects demonstrate your ability to work with data.<\/p>\n\n\n\n<p>Start with Excel, learn SQL, and practise Power BI. Build a focused portfolio using safe datasets, document your reasoning, and apply for roles that match your skills. You do not need to learn everything at once; consistent practice and relevant projects help you demonstrate progress.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1793173005878\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>1. Can a non-IT banking professional become a data analyst?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Learn analytical tools, practise with datasets, and demonstrate your skills through relevant portfolio projects.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793173010973\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>2. Which banking skills transfer to data analytics?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Data accuracy, reconciliation, reporting, compliance awareness, problem-solving, and financial operations knowledge are useful transferable skills.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793173020521\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>3. Which tools should I learn first?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Start with Excel, then learn SQL and Power BI. Add statistics and Python according to your target roles.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793173028105\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>4. Is SQL difficult for beginners?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>SQL becomes manageable through regular practice. Begin with filtering, aggregation, sorting, and joins before tackling more complex queries.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793173037455\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>5. Which projects suit banking professionals?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Transaction trend analysis, loan application analysis, and branch performance dashboards are relevant options when built with suitable datasets.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793173047708\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>6. Can I learn analytics while working in banking?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Follow a consistent study schedule, practise one skill at a time, and build projects in manageable stages.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793173057454\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>7. Which entry-level roles should I explore?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Consider MIS Analyst, Reporting Analyst, Operations Analyst, and Banking Data Analyst positions. Compare job descriptions to identify the skills each employer requires.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>If you have fewer than four years of experience in a non-IT banking role, you already bring useful skills to data analytics. Accuracy, reporting, reconciliation, and customer problem-solving provide a foundation. Your next step is to learn Excel, SQL, and Power BI, then prove your ability through small, relevant projects. TL;DR Quick Answer Early-career banking [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":144889,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,745,578],"tags":[],"views":"31","authorinfo":{"name":"HCL GUVI","url":"https:\/\/www.guvi.in\/blog\/author\/guvipr\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/10\/Banking-Skills-That-Transfer-to-Data-Analytics-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144887"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=144887"}],"version-history":[{"count":4,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144887\/revisions"}],"predecessor-version":[{"id":144978,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144887\/revisions\/144978"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/144889"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=144887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=144887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=144887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}