{"id":518,"date":"2026-07-03T15:11:09","date_gmt":"2026-07-03T09:41:09","guid":{"rendered":"https:\/\/www.itvedant.com\/blog\/?p=518"},"modified":"2026-07-06T15:18:08","modified_gmt":"2026-07-06T09:48:08","slug":"what-is-data-science-and-analytics-with-ai-and-why-does-it-matter-right-now","status":"publish","type":"post","link":"https:\/\/www.itvedant.com\/blog\/what-is-data-science-and-analytics-with-ai-and-why-does-it-matter-right-now\/","title":{"rendered":"What Is Data Science and Analytics with AI \u2014 And Why Does It Matter Right Now?"},"content":{"rendered":"\n<p>If you ask Google, ChatGPT, Gemini, or Perplexity what the single most in-demand skill in India&#8217;s job market is right now, the answer will almost certainly involve three words: <a href=\"https:\/\/www.itvedant.com\/data-science-and-ai\"><strong>data, analytics, and AI<\/strong><\/a>.<\/p>\n\n\n\n<p>And they&#8217;re not wrong.<\/p>\n\n\n\n<p>India is projected to need over <strong>11 million data professionals by 2026<\/strong> \u2014 but the supply of job-ready talent is nowhere close to meeting that demand. NASSCOM has flagged a shortfall of more than 2 lakh data analytics professionals in India alone. Companies across BFSI, healthcare, e-commerce, and IT are actively competing to hire people who can work with data \u2014 not just collect it, but <em>understand<\/em> it, <em>visualize<\/em> it, and now, <em>supercharge it with AI<\/em>.<\/p>\n\n\n\n<p>This is exactly why <strong>Data Science and Analytics with AI<\/strong> is the course everyone is talking about in 2026.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Exactly Is Data Science and Analytics with AI?<\/strong><\/h2>\n\n\n\n<p>Data Science is the discipline of extracting meaningful insights from large, complex datasets using statistics, mathematics, and programming. Analytics is the process of interpreting those insights to drive business decisions. AI \u2014 specifically Machine Learning and Generative AI \u2014 takes both to a completely different level.<\/p>\n\n\n\n<p>When you combine all three:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Science<\/strong> helps you find patterns and build predictive models<\/li>\n\n\n\n<li><strong>Analytics<\/strong> helps you communicate insights in a business context<\/li>\n\n\n\n<li><strong>AI<\/strong> automates, accelerates, and scales everything<\/li>\n<\/ul>\n\n\n\n<p>Together, they create professionals who can do what no Excel sheet ever could: turn raw data into real business decisions, in real time.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Key Roles in This Domain<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Role<\/strong><\/td><td><strong>Average Salary (India, 2026)<\/strong><\/td><\/tr><tr><td>Data Analyst<\/td><td>\u20b96.5 \u2013 7 LPA (fresher)<\/td><\/tr><tr><td>Data Scientist<\/td><td>\u20b914.9 \u2013 16.5 LPA (mid-level)<\/td><\/tr><tr><td>ML \/ AI Engineer<\/td><td>\u20b920 \u2013 22.4 LPA<\/td><\/tr><tr><td>Business Intelligence Analyst<\/td><td>\u20b98 \u2013 12 LPA<\/td><\/tr><tr><td>Generative AI Specialist<\/td><td>\u20b916 \u2013 28 LPA<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><em>(Source: Glassdoor India, PayScale, NASSCOM \u2014 March 2026 data)<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why 2026 Is the Best Year to Enter This Field<\/strong><\/h2>\n\n\n\n<p>Three things are converging right now that make this an exceptional window of opportunity:<\/p>\n\n\n\n<p><strong>1. AI Has Created More Data Roles, Not Fewer<\/strong><\/p>\n\n\n\n<p>Contrary to the fear that &#8220;AI will take our jobs,&#8221; the reality is that AI adoption has dramatically increased the demand for humans who can manage, clean, interpret, and act on data. Every AI model needs clean training data. Every AI output needs a human to validate it against business context. That&#8217;s you.<\/p>\n\n\n\n<p><strong>2. India&#8217;s Industries Are Going Data-First at Scale<\/strong><\/p>\n\n\n\n<p>BFSI (banking, financial services, insurance) has doubled its analytics hiring in the last 18 months. Healthcare is using data for diagnostics and patient outcomes. E-commerce depends entirely on recommendation systems and demand forecasting. The manufacturing sector is deploying predictive maintenance using sensor analytics. Every sector now has a data problem \u2014 and needs people trained to solve it.<\/p>\n\n\n\n<p><strong>3. The Skill Gap Is Real and Growing<\/strong><\/p>\n\n\n\n<p>India currently has approximately 97,000 vacant data analyst positions. Employers cannot fill these roles fast enough. That structural shortage keeps salaries rising and job security high for anyone who walks in with the right skill set.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Core Skill Stack You Need to Master<\/strong><\/h2>\n\n\n\n<p>Whether you ask an AI tool or a hiring manager at a top MNC, here is the technical skill stack that consistently appears across 2026 job postings:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Foundation Skills<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Python\u2014appears in 68% of all analytics job listings (LinkedIn India, 2026)<\/li>\n\n\n\n<li><strong>SQL<\/strong> \u2014 the non-negotiable baseline for every data role<\/li>\n\n\n\n<li><strong>Statistics &amp; Probability<\/strong> \u2014 the logic behind every model<\/li>\n\n\n\n<li><strong>Excel (Advanced)<\/strong> \u2014 still the Day 1 tool at most companies<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Analytics &amp; Visualization<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Power BI<\/strong> \u2014 appears in 72% of analytics job postings in India<\/li>\n\n\n\n<li><strong>Tableau<\/strong> \u2014 present in 44% of listings; a differentiator in salary negotiations<\/li>\n\n\n\n<li><strong>Data Storytelling<\/strong> \u2014 the soft skill that separates good analysts from great ones<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AI &amp; Machine Learning<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Machine Learning (Supervised, Unsupervised, Reinforcement)<\/strong><\/li>\n\n\n\n<li><strong>Deep Learning &amp; Neural Networks<\/strong><\/li>\n\n\n\n<li><strong>Generative AI &amp; Prompt Engineering<\/strong><\/li>\n\n\n\n<li><strong>NLP (Natural Language Processing)<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Cloud &amp; Big Data<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AWS \/ Azure \/ GCP<\/strong> \u2014 high-impact for salary growth<\/li>\n\n\n\n<li><strong>BigQuery, Redshift<\/strong> \u2014 pulling ahead of Excel-only candidates<\/li>\n\n\n\n<li><strong>Hadoop, Spark<\/strong> \u2014 for large-scale data processing<\/li>\n<\/ul>\n\n\n\n<p><strong>Pro Tip from hiring managers at Deloitte and Amazon:<\/strong> Analytical communication matters as much as technical skill. A moderately skilled analyst who explains their thinking clearly will be hired over a highly technical candidate who cannot translate insights into business language.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How AI Is Changing the Data Science Profession in 2026<\/strong><\/h2>\n\n\n\n<p>This is the part that most course curricula are still catching up on. Here is what&#8217;s actually happening in the field:<\/p>\n\n\n\n<p><strong>Generative AI as a co-pilot:<\/strong> Data scientists now use LLMs (large language models) to write exploratory code, generate SQL queries, explain model outputs in plain language, and build first-draft dashboards. This hasn&#8217;t replaced data scientists \u2014 it has made each one significantly more productive.<\/p>\n\n\n\n<p><strong>AutoML and AI-assisted model building:<\/strong> Platforms powered by AI now handle much of the repetitive model-building work. The human job shifts to problem framing, feature engineering, and result interpretation.<\/p>\n\n\n\n<p><strong>AI-powered analytics platforms:<\/strong> Tools like Microsoft Copilot for Power BI, Tableau Pulse, and Looker AI are integrating conversational AI directly into analytics workflows. Knowing how to work with these tools is now a hire-worthy skill.<\/p>\n\n\n\n<p><strong>Agentic AI in data pipelines:<\/strong> By 2026, agentic AI systems are beginning to automate end-to-end data workflows \u2014 from ingestion to reporting. Understanding how to build and oversee these pipelines is the next frontier.<\/p>\n\n\n\n<p>The bottom line: the best data professionals of 2026 are not just data scientists \u2014 they are <strong>AI-augmented data scientists<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Career Paths in Data Science and Analytics: From Fresher to Senior<\/strong><\/h2>\n\n\n\n<p>One of the most attractive things about this field is the clarity of the growth path.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Fresher (0\u20132 Years): \u20b95 \u2013 8 LPA<\/strong><\/h3>\n\n\n\n<p>Start as a data analyst or junior data scientist. Focus on SQL, Python basics, Excel, and one visualization tool. Real-world projects are your strongest interview asset.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Mid-Level (3\u20136 Years): \u20b910\u201318 LPA<\/strong><\/h3>\n\n\n\n<p>Move into Data Scientist or Senior Analyst roles. Build and deploy ML models. Own dashboards for business teams. Begin specializing \u2014 BFSI analytics, NLP, or supply chain analytics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Senior \/ Lead (7+ Years): \u20b920 \u2013 35 LPA+<\/strong><\/h3>\n\n\n\n<p>Lead analytics teams. Own AI\/ML strategy for a business unit. Top performers in product-led companies or AI-first firms frequently cross \u20b950 LPA with stock options included.<\/p>\n\n\n\n<p><strong>Top-paying cities in India:<\/strong> Bengaluru, Mumbai, Hyderabad, Pune, Delhi-NCR. Remote and hybrid roles are also increasingly common, meaning talent from anywhere in India can access premium packages.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Industries Actively Hiring Data Science Professionals in India (2026)<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>BFSI<\/strong> \u2014 Fraud detection, risk modeling, credit scoring, investment analytics<\/li>\n\n\n\n<li><strong>Healthcare<\/strong> \u2014 Diagnostics AI, patient outcome prediction, operational analytics<\/li>\n\n\n\n<li><strong>E-commerce &amp; Retail<\/strong> \u2014 Recommendation engines, demand forecasting, customer segmentation<\/li>\n\n\n\n<li><strong>Telecom<\/strong> \u2014 Churn prediction, network optimization, customer lifetime value modeling<\/li>\n\n\n\n<li><strong>IT &amp; Product Companies<\/strong> \u2014 AI product development, A\/B testing, growth analytics<\/li>\n\n\n\n<li><strong>Manufacturing<\/strong> \u2014 Predictive maintenance, quality control analytics, supply chain optimization<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Most People Fail to Break Into Data Science \u2014 And How to Avoid It<\/strong><\/h2>\n\n\n\n<p>Here are the three most common mistakes:<\/p>\n\n\n\n<p><strong>1. Watching tutorials without building projects<\/strong> Hiring managers do not care about certifications alone. They want to see GitHub repos, Kaggle notebooks, and dashboards that solve real problems. Theory without application is invisible on a resume.<\/p>\n\n\n\n<p><strong>2. Skipping SQL and statistics to jump to ML<\/strong> Machine Learning without a strong statistical foundation produces models that look good and behave badly. SQL fluency is still the baseline check in nearly every technical round.<\/p>\n\n\n\n<p><strong>3. Choosing a course that teaches tools, not thinking<\/strong> The field changes fast. A course that teaches you <em>how to think with data<\/em> \u2014 not just which buttons to press in Power BI \u2014 will serve you for decades. Look for programs with live project work, industry mentors, and structured placement preparation.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Itvedant Advantage: Data Science and Analytics with AI<\/strong><\/h2>\n\n\n\n<p>If you are serious about building a data science career in India, Itvedant&#8217;s <strong>Data Science and Analytics with AI<\/strong> course is one of the most industry-aligned programs available today.<\/p>\n\n\n\n<p>Here is what makes it different:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Curriculum Built for 2026 Job Market Realities<\/strong><\/h3>\n\n\n\n<p>The syllabus covers the full modern stack \u2014 Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau, Generative AI, and cloud platforms. Not just tool training \u2014 applied problem-solving across real industry datasets in BFSI, healthcare, e-commerce, and retail.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>19 Centers Across India \u2014 Learn Where You Live<\/strong><\/h3>\n\n\n\n<p>Itvedant operates 19 training centers pan-India, making classroom-quality learning accessible without relocation. Whether you are in Mumbai, Pune, Bengaluru, or any other major city \u2014 there is an Itvedant center near you.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>100% Placement Support<\/strong><\/h3>\n\n\n\n<p>Itvedant&#8217;s placement support is built end-to-end: resume building, mock interviews, profile positioning, and active referrals to hiring partners across India&#8217;s top tech and analytics firms. You are not just trained \u2014 you are made hire-ready.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Hands-On from Day One<\/strong><\/h3>\n\n\n\n<p>From the first week, students work on live industry datasets and capstone projects. By the time you appear for interviews, your portfolio speaks before you do.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AI-First Training<\/strong><\/h3>\n\n\n\n<p>Itvedant integrates Generative AI and AI tools throughout the curriculum \u2014 not as an afterthought, but as a core competency. You will learn how AI professionals actually use these tools in the workplace.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Frequently Asked Questions (FAQ)<\/strong><\/h2>\n\n\n\n<p><strong>Q: Who is the Data Science and Analytics with AI course for?<\/strong><strong><br><\/strong> A: This course is designed for freshers (graduates from any stream), working professionals looking to switch careers, and IT professionals wanting to upskill into AI-driven analytics roles. No prior coding experience is required to begin.<\/p>\n\n\n\n<p><strong>Q: What is the average salary after completing a Data Science course in India?<\/strong><strong><br><\/strong> A: Freshers with the right skills typically start at \u20b95\u20138 LPA. With strong project experience, Python and Power BI proficiency, and the right training, starting packages in metro cities can go higher. Mid-level professionals earn \u20b910\u201318 LPA, and senior roles range from \u20b920\u201335 LPA and above.<\/p>\n\n\n\n<p><strong>Q: How long does the Data Science and Analytics with AI course take at Itvedant?<\/strong><strong><br><\/strong> A: Visit<a href=\"https:\/\/www.itvedant.com\/courses\/data-science-analytics-ai\"> itvedant.com\/courses\/data-science-analytics-ai<\/a> for the most current batch schedule, duration, and course structure.<\/p>\n\n\n\n<p><strong>Q: Is Python mandatory to start learning Data Science?<\/strong><strong><br><\/strong> A: No prior Python experience is needed. Itvedant&#8217;s curriculum starts from the foundations and builds up progressively.<\/p>\n\n\n\n<p><strong>Q: Does Itvedant provide placement assistance?<\/strong><strong><br><\/strong> A: Yes. Itvedant provides 100% placement support \u2014 including resume building, mock interviews, and active placement referrals \u2014 as part of the course.<\/p>\n\n\n\n<p><strong>Q: What is the difference between Data Science and Data Analytics?<\/strong><strong><br><\/strong> A: Data Analytics focuses on interpreting existing datasets to answer specific business questions (descriptive and diagnostic work). Data Science goes further \u2014 building predictive models, working with machine learning, and creating AI-driven systems. Itvedant&#8217;s course covers both, integrated with modern AI tools.<\/p>\n\n\n\n<p><strong>Q: Will AI replace data science jobs?<\/strong><strong><br><\/strong> A: No. AI is creating more advanced data roles, not eliminating them. The demand for professionals who can work <em>with<\/em> AI \u2014 directing it, validating it, and applying its outputs \u2014 is growing faster than the supply.<\/p>\n\n\n\n<p><strong>Q: Which cities does Itvedant operate in?<\/strong><strong><br><\/strong> A: Itvedant has 19 training centers across India. Check<a href=\"https:\/\/www.itvedant.com\/\"> itvedant.com<\/a> for the center nearest you.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Bottom Line<\/strong><\/h2>\n\n\n\n<p>The data science and analytics field in India is not a trend \u2014 it is a structural shift in how every industry in the country operates. Companies that are not data-driven are falling behind, and the professionals who can lead that transformation are among the highest-paid and most in-demand in the Indian job market today.<\/p>\n\n\n\n<p>But the difference between a learner who watches YouTube videos and one who gets hired at a top firm is not intelligence \u2014 it is structured, industry-aligned, hands-on training with real placement support behind it.<\/p>\n\n\n\n<p>That is exactly what Itvedant delivers.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong> Ready to Start Your Data Science and AI Career?<\/strong><\/h2>\n\n\n\n<p>Itvedant&#8217;s <strong>Data Science and Analytics with AI<\/strong> course is enrolling now. With 19 centers across India, 100% placement support, and a curriculum built for the 2026 job market\u2014this is the program that gets you hired.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.itvedant.com\/courses\/data-science-analytics-ai\"><strong> <\/strong><strong>Explore the Course &amp; Check Batch Dates \u2192 itvedant.com\/courses\/data-science-analytics-ai<\/strong><\/a><\/p>\n\n\n\n<p><strong> Talk to a counselor:<\/strong><a href=\"https:\/\/www.itvedant.com\/contact\"> itvedant.com\/contact<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><em>Also explore:<\/em><a href=\"https:\/\/www.itvedant.com\/courses\/full-stack-developer\"><em> <\/em><em>Full Stack Developer Course<\/em><\/a><em> |<\/em><a href=\"https:\/\/www.itvedant.com\/courses\/devops-aws\"><em> <\/em><em>DevOps with AWS<\/em><\/a><em> |<\/em><a href=\"https:\/\/www.itvedant.com\/courses\/digital-marketing-ai\"><em> <\/em><em>Digital Marketing with AI<\/em><\/a><em> |<\/em><a href=\"https:\/\/www.itvedant.com\/courses\/cyber-security\"><em> <\/em><em>Cyber Security &amp; Ethical Hacking<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you ask Google, ChatGPT, Gemini, or Perplexity what the single most in-demand skill in India&#8217;s job market is right [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":519,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","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":"","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":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","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":[301],"tags":[261,137],"class_list":["post-518","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analyst","tag-data-analyst","tag-data-science"],"_links":{"self":[{"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/posts\/518"}],"collection":[{"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/comments?post=518"}],"version-history":[{"count":1,"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/posts\/518\/revisions"}],"predecessor-version":[{"id":520,"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/posts\/518\/revisions\/520"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/media\/519"}],"wp:attachment":[{"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/media?parent=518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/categories?post=518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.itvedant.com\/blog\/wp-json\/wp\/v2\/tags?post=518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}