{"id":144638,"date":"2026-10-29T13:14:21","date_gmt":"2026-10-29T07:44:21","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=144638"},"modified":"2026-10-29T13:14:23","modified_gmt":"2026-10-29T07:44:23","slug":"learn-sql-python-power-bi-while-working","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/learn-sql-python-power-bi-while-working\/","title":{"rendered":"How to Learn SQL Python Power BI While Working an Eight or Nine-Hour Job"},"content":{"rendered":"\n<p>Learning SQL, Python, and Power BI while working is possible with a realistic study plan, consistent practice, and the right learning order. For working professionals, the best approach is to learn SQL for querying data, Python for data cleaning and analysis, and Power BI for creating dashboards. A structured data analyst learning roadmap helps you build these skills without sacrificing your personal time. By following a practical study plan for working professionals, you can learn data analytics part-time, build portfolio projects, and balance job and upskilling without needing to study for hours every night.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">TL;DR Summary<\/h2>\n\n\n\n<ul>\n<li><strong>Learn SQL Python Power BI while working<\/strong> by setting aside 45\u201360 minutes on three weekdays and 2\u20133 hours over the weekend.<\/li>\n\n\n\n<li>Follow a <strong>data analyst learning roadmap<\/strong>: start with SQL, move to Python for data cleaning and analysis, and then learn Power BI to build dashboards.<\/li>\n\n\n\n<li>Create a practical <strong>study plan for working professionals<\/strong> by focusing on one skill at a time instead of studying all three every day.<\/li>\n\n\n\n<li><strong>Learn data analytics part-time<\/strong> through consistent practice, small projects, and monthly progress checks.<\/li>\n\n\n\n<li><strong>Balance job and upskilling<\/strong> with a realistic four-to-six-month learning target, depending on your starting level and weekly study time. This is a planning estimate, not a guaranteed deadline.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How can I learn SQL, Python, and Power BI while working full-time?&nbsp;<\/strong><\/h2>\n\n\n\n<p>Start with a weekly plan that fits your existing routine. Choose fixed study slots instead of waiting for free time to appear.<\/p>\n\n\n\n<p>A practical starting schedule is:<\/p>\n\n\n\n<ul>\n<li><strong>Monday:<\/strong> Learn a new SQL concept.<\/li>\n\n\n\n<li><strong>Tuesday:<\/strong> Practise SQL queries.<\/li>\n\n\n\n<li><strong>Wednesday:<\/strong> Learn Python basics.<\/li>\n\n\n\n<li><strong>Thursday:<\/strong> Solve small Python exercises.<\/li>\n\n\n\n<li><strong>Friday:<\/strong> Revise or take a break.<\/li>\n\n\n\n<li><strong>Saturday:<\/strong> Complete a longer lesson or project task.<\/li>\n\n\n\n<li><strong>Sunday:<\/strong> Review your progress and plan the next week.<\/li>\n<\/ul>\n\n\n\n<p>If your weekdays are unpredictable, move a missed session to the weekend. Avoid trying to make up every missed hour at once.<\/p>\n\n\n\n<p><strong>The key rule:<\/strong> Give each study session one clear outcome. For example, write five SQL queries, clean a small dataset using Python, or create one Power BI visual.<\/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=learn-sql-python-power-bi-working\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore the HCL GUVI Data Science Zen Program<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>How many hours should I study after a full-time job?&nbsp;<\/strong><\/h2>\n\n\n\n<p>Start with <strong>five to seven focused hours per week<\/strong>. Increase your study time only when the schedule feels sustainable.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Available time<\/strong><\/td><td><strong>Suggested plan<\/strong><\/td><\/tr><tr><td>30 minutes on weekdays<\/td><td>Revise concepts or solve short exercises<\/td><\/tr><tr><td>45\u201360 minutes on weekdays<\/td><td>Learn one concept and practise it<\/td><\/tr><tr><td>2\u20133 hours on weekends<\/td><td>Work on a project or revisit difficult topics<\/td><\/tr><tr><td>A busy workweek<\/td><td>Complete two short sessions and resume your normal schedule next week<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Do not measure progress only by hours spent watching videos. Measure it by what you can do without following a tutorial.<\/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;\"><strong style=\"font-size: 22px; color: #ffffff;\">\ud83d\udca1 Did You Know?<\/strong> <br \/>\n<p><strong>84% of Indian working professionals surveyed engaged in upskilling over the past year, and 42% reported promotions, salary hikes, or enhanced roles within 18 months of completing their upskilling.<\/strong><\/p>\n<p><a href=\"https:\/\/www.teamleaseedtech.com\/reports.html\" target=\"_blank\" rel=\"noopener\"><strong>According to a 2025 TeamLease EdTech report <\/strong><\/a><strong>based on a survey of over 14,000 professionals across India, learning new skills can support career growth. For professionals balancing a full-time job, learning SQL, Python, and Power BI through online courses and regular practice can be a practical way to prepare for data analytics opportunities.<\/strong><\/p>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Which should I learn first: SQL, Python, or Power BI?&nbsp;<\/strong><\/h2>\n\n\n\n<p>For a beginner aiming for data analyst roles, a practical sequence is <strong>SQL \u2192 Python \u2192 Power BI<\/strong>. You can adjust the order if your current job already involves reporting or dashboard creation.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Skill<\/strong><\/td><td><strong>What to learn first<\/strong><\/td><td><strong>Practical outcome<\/strong><\/td><\/tr><tr><td>SQL<\/td><td>SELECT, WHERE, GROUP BY, JOIN<\/td><td>Retrieve and summarise business data<\/td><\/tr><tr><td>Python<\/td><td>Variables, conditions, loops, functions, pandas<\/td><td>Clean and analyse datasets<\/td><\/tr><tr><td>Power BI<\/td><td>Data import, relationships, visuals, filters<\/td><td>Build an interactive dashboard<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>SQL helps you retrieve data, Python helps you clean and analyse it, and Power BI helps you present findings clearly.<\/p>\n\n\n\n<p>Avoid trying to master every advanced feature before moving forward. Learn the basics, practise them on a dataset, and revisit topics when a project requires them.<\/p>\n\n\n\n<p>For more SQL practice, use HCL GUVI&#8217;s<a href=\"https:\/\/www.guvi.in\/blog\/guide-on-sql-for-data-science\/\" target=\"_blank\" rel=\"noreferrer noopener\"> SQL guide for data science<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is a practical data analyst learning roadmap for working professionals?&nbsp;<\/strong><\/h2>\n\n\n\n<p>Use this four-stage roadmap as a starting point. The timelines are estimates and may change depending on your previous experience and available study hours.<\/p>\n\n\n\n<p><strong>Stage 1: Learn SQL \u2014 Weeks 1\u20134<\/strong><\/p>\n\n\n\n<p>Practise filtering, sorting, aggregating, and joining tables. Use a sample sales dataset to answer questions such as which products generate the most revenue.<\/p>\n\n\n\n<p><strong>Stage 2:<\/strong><a href=\"https:\/\/www.guvi.in\/blog\/how-to-use-python-in-excel\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong> Learn Python<\/strong><\/a><strong> \u2014 Weeks 5\u20138<\/strong><\/p>\n\n\n\n<p>Learn basic syntax and practise working with lists, dictionaries, functions, and files. Then move to pandas for cleaning, filtering, grouping, and analysing data.<\/p>\n\n\n\n<p><strong>Stage 3: Learn Power BI \u2014 Weeks 9\u201312<\/strong><\/p>\n\n\n\n<p>Import a dataset, create relationships, build charts, and design a dashboard. Learn how to select suitable visuals and explain what the numbers mean.<\/p>\n\n\n\n<p><strong>Stage 4: Build a portfolio project \u2014 Weeks 13\u201316<\/strong><\/p>\n\n\n\n<p>Combine your skills in a small business problem. Write SQL queries to retrieve data, use Python to clean or analyse it, and create a Power BI dashboard to present the results.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.guvi.in\/blog\/power-bi-project-ideas\/\" target=\"_blank\" rel=\"noreferrer noopener\">Power BI Project Ideas<\/a>\u00a0<\/p>\n\n\n\n<p>Use the roadmap as a guide, not a deadline. If a concept takes longer than expected, spend another week practising instead of rushing ahead.<\/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=learn-sql-python-power-bi-working\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore the HCL GUVI Data Science Zen Program<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>How can I practise data analytics with limited time?&nbsp;<\/strong><\/h2>\n\n\n\n<p>Use one dataset across multiple tools. This reduces the time you spend searching for new learning materials and helps you understand how the tools work together.<\/p>\n\n\n\n<p><strong>Example: An e-commerce sales project<\/strong><\/p>\n\n\n\n<p>Imagine you want to understand why monthly sales have declined.<\/p>\n\n\n\n<ol>\n<li><strong>SQL:<\/strong> Find monthly revenue, best-selling products, and order counts.<\/li>\n\n\n\n<li><strong>Python:<\/strong> Check missing values, identify unusual records, and compare sales trends.<\/li>\n\n\n\n<li><strong>Power BI:<\/strong> Build a dashboard showing revenue, product performance, and monthly changes.<\/li>\n\n\n\n<li><strong>Business insight:<\/strong> Explain which products or periods need further investigation.<\/li>\n<\/ol>\n\n\n\n<p>Start with a small dataset and one business question. Add complexity only when you can explain your current findings.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.guvi.in\/blog\/excel-to-data-analytics\/\" target=\"_blank\" rel=\"noreferrer noopener\">Move from Excel to data analytics\u00a0<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Can I learn data analytics part-time without quitting my job?<\/strong><\/h2>\n\n\n\n<p>Yes. You can learn data analytics part-time while keeping your job, provided you set realistic expectations and practise consistently.<\/p>\n\n\n\n<p>To balance job and upskilling:<\/p>\n\n\n\n<ul>\n<li>Fix study slots that do not reduce your sleep.<\/li>\n\n\n\n<li>Use commute time for revision only when it is safe and practical.<\/li>\n\n\n\n<li>Keep a list of concepts you find difficult so you can revisit them during the weekend.<\/li>\n\n\n\n<li>Use your existing industry knowledge to choose project topics.<\/li>\n\n\n\n<li>Review your progress every four weeks and adjust the plan.<\/li>\n<\/ul>\n\n\n\n<p>If you work in sales, analyse sales performance. If you work in operations, explore turnaround times or productivity. If you work in finance, examine expenses and monthly trends.<\/p>\n\n\n\n<p>Your current experience can help you understand the business problem behind the data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What common mistakes should I avoid?&nbsp;<\/strong><\/h2>\n\n\n\n<p><strong>1. Studying all three tools at once:<\/strong> Switching between unrelated topics can slow your progress. Focus on one main skill at a time.<\/p>\n\n\n\n<p><strong>2. Watching tutorials without practising:<\/strong> Watching someone write code does not mean you can write it independently. Repeat the exercise without looking at the solution.<\/p>\n\n\n\n<p><strong>3. Creating an unrealistic timetable:<\/strong> Planning two hours every night may be difficult after work. Begin with shorter sessions and build consistency.<\/p>\n\n\n\n<p><strong>4. Learning without a project:<\/strong> Individual exercises are useful, but projects show how you apply multiple skills to a real question. Complete at least one end-to-end project.<\/p>\n\n\n\n<p><strong>5. Comparing your progress with full-time learners:<\/strong> Your available hours are different. Track your own milestones instead of copying someone else&#8217;s timeline.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Which Is the Best Data Analytics Course for Working Professionals?<\/strong><\/h2>\n\n\n\n<p><strong>HCL GUVI offers two learning options for professionals who want to build data analytics skills while working.<\/strong><\/p>\n\n\n\n<p><strong>1.<\/strong><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=learn-sql-python-power-bi-working\" target=\"_blank\" rel=\"noreferrer noopener\"><strong> HCL GUVI Data Science Zen Program<\/strong><\/a><\/p>\n\n\n\n<ul>\n<li><strong>Live expert-led classes and structured learning<\/strong><\/li>\n\n\n\n<li><strong>Hands-on projects and career support<\/strong><\/li>\n\n\n\n<li><strong>Best for professionals seeking guided learning and a career transition<\/strong><\/li>\n<\/ul>\n\n\n\n<p><strong>2. <\/strong><a href=\"https:\/\/www.guvi.in\/courses\/data-science\/data-science-and-analytics\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=learn-sql-python-power-bi-working\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>HCL GUVI Data Science and Analytics Program<\/strong><\/a><\/p>\n\n\n\n<ul>\n<li><strong>Self-paced learning flexibility<\/strong><\/li>\n\n\n\n<li><strong>Data analytics, Python, and statistics fundamentals<\/strong><\/li>\n\n\n\n<li><strong>Best for professionals who prefer learning at their own pace<\/strong><\/li>\n<\/ul>\n\n\n\n<p><strong>Both are worth considering for working professionals. Choose the Zen Program for structured guidance or the Data Science and Analytics Program for flexible, self-paced learning, based on your schedule and career goals.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>You can learn SQL, Python, and Power BI while working full-time without turning every evening into a study session. Start with a realistic weekly schedule, learn one skill at a time, and practise using small datasets connected to real business questions. Once you understand the basics, combine the tools in a project that demonstrates your ability to analyse data and communicate findings. Your progress may take longer than someone studying full-time, and that is fine. Consistency, practical experience, and a sustainable routine matter more than rushing through a syllabus.<\/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=learn-sql-python-power-bi-working\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore the HCL GUVI Data Science Zen Program<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>Frequently Asked Questions&nbsp;<\/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-1793019387664\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>Can I learn SQL, Python, and Power BI while working a nine-hour job?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Begin with five to seven focused hours per week and use a fixed timetable. Adjust the pace according to your workload and existing knowledge.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793019398060\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>How long does it take to learn SQL, Python, and Power BI?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>A beginner may use four to six months as an initial planning estimate with consistent weekly practice. The actual time depends on your background, study hours, and the depth of skills you want to develop.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793019407268\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>Should I learn SQL or Python first for data analytics?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>SQL is a practical starting point because it teaches you to retrieve and summarise data. Learn Python next for data cleaning and analysis, then use Power BI to present your findings.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793019416753\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>Can I learn data analytics part-time without a technical degree?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Start with basic data concepts, SQL, and beginner-friendly Python exercises. Build projects that demonstrate your skills rather than relying only on course completion.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793019429035\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>How many hours a week should working professionals study?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Five to seven focused hours is a reasonable starting point. You can increase or reduce this depending on your schedule and energy levels.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793019437860\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>Is Power BI difficult to learn for beginners?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>You can begin with importing data and creating basic charts. Data modelling, DAX, and more advanced dashboard features take additional practice.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793019446450\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>What project should I build while learning these tools?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Try a sales analysis project. Use SQL to summarise orders, Python to clean the data, and Power BI to present revenue trends and product performance.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793019455405\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>How do I balance job and upskilling when my work schedule changes?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Keep a minimum weekly target and move sessions when necessary. During busy weeks, prioritise revision and short exercises rather than abandoning the plan completely.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Learning SQL, Python, and Power BI while working is possible with a realistic study plan, consistent practice, and the right learning order. For working professionals, the best approach is to learn SQL for querying data, Python for data cleaning and analysis, and Power BI for creating dashboards. A structured data analyst learning roadmap helps you [&hellip;]<\/p>\n","protected":false},"author":76,"featured_media":145089,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16,13,745],"tags":[],"views":"24","authorinfo":{"name":"Reemsha Khan","url":"https:\/\/www.guvi.in\/blog\/author\/reemsha-khan\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/10\/learn-SQL-Python-Power-BI-while-working-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144638"}],"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\/76"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=144638"}],"version-history":[{"count":8,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144638\/revisions"}],"predecessor-version":[{"id":145095,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144638\/revisions\/145095"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/145089"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=144638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=144638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=144638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}