{"id":269422,"date":"2025-07-08T16:17:21","date_gmt":"2025-07-08T16:17:21","guid":{"rendered":"https:\/\/imarticus.org\/blog\/?p=269422"},"modified":"2026-05-15T15:05:31","modified_gmt":"2026-05-15T09:35:31","slug":"data-science-skills-and-tools-every-analyst-needs-to-know","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/data-science-skills-and-tools-every-analyst-needs-to-know\/","title":{"rendered":"Data Science Skills and Tools Every Analyst Needs to Know"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">With the era of algorithms, data science skills and tools are the pillars of every contemporary business decision. From suggesting products on e-commerce websites to predicting financial trends, data science has emerged as the driving force behind smart decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For anyone looking to join this fast-paced industry, it&#8217;s not enough to only know the buzzwords. You will need to establish a strong set of skills and learn a toolset that will enable you not only to land the job\u2014but to rock it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This blog post deconstructs the critical data science skills, must-learn data science technologies and the leading data analyst tools you need to become proficient with to succeed in the modern workforce.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Data Science Became Mission-Critical<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Each click, swipe, and tap creates data. What&#8217;s done with it all?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Companies that harness data are achieving faster growth, improved customer retention, and a better product-market fit. <a href=\"https:\/\/www.mckinsey.com\/capabilities\/growth-marketing-and-sales\/our-insights\/five-facts-how-customer-analytics-boosts-corporate-performance\">McKinsey<\/a> &amp; Company states that businesses leveraging data are 23 times more likely to get customers and 19 times more likely to become profitable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And this isn&#8217;t global speak alone\u2014India is racing ahead too. According to <a href=\"https:\/\/community.nasscom.in\/communities\/data-science-ai-community\/state-data-science-ai-skills-india\">NASSCOM<\/a>, India will require more than 1.5 million data professionals by 2026.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Key Data Science Skills You Need to Master<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A data analyst&#8217;s skillset is half logic, half creativity, and half business instinct. Here&#8217;s what you need to be industry-ready.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Statistical Thinking and Analytical Mindset<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Statistics is at the core of data analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ideas such as distributions, sampling, p-values, and hypothesis testing enable analysts to meaningfully interpret patterns.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is important to know correlation vs. causation, regression models, and inferential statistics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2705 Pro Tip: Establish a solid foundation with Python libraries such as statsmodels and SciPy.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Programming Languages for Data Science<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">There&#8217;s no way around coding. It&#8217;s your data interface.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Python<\/strong>: The most general-purpose, utilised for data cleaning, analysis, machine learning, and deep learning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>R<\/strong>: Best for academic research, advanced statistical modelling, and visualisations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>SQL<\/strong>: Still the most requested language for querying databases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And then there are: Julia (for high-performance computing), Scala (for Big Data), and Excel (for smaller datasets).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">85% of data professionals use Python and 74% use SQL according to the Kaggle State of <a href=\"https:\/\/towardsdatascience.com\/data-science-trends-based-on-4-years-of-kaggle-surveys-60878d68551f\/\">Data Science Report<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Data Cleaning and Wrangling<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Raw data is not tidy. Mistakes, duplicates, missing values, typos\u2014yep, that&#8217;s the real world.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Your data wrangling and pre-processing skills make you stand out. This includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dealing with null values<\/li>\n\n\n\n<li>Standardising formats<\/li>\n\n\n\n<li>Removing outliers<\/li>\n\n\n\n<li>Parsing strings and dates<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Tools<\/strong>: Pandas, NumPy, OpenRefine<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Data Visualisation Techniques<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Raw data doesn&#8217;t talk\u2014but pictures do.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data storytelling is an essential soft skill for data analysts. You need to know:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Which chart type is best for which data type<\/li>\n\n\n\n<li>How to prevent distortion or misrepresentation<\/li>\n\n\n\n<li>How to effectively use colour, scale, and layout<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Tools<\/strong>: Tableau, Power BI, Seaborn, Plotly, Matplotlib<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Effective visualisation is what tends to win data buy-in from decision-makers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Machine Learning and AI Tools<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Those venturing into predictive and prescriptive models from descriptive analytics make machine learning a must.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Key concepts involve:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Supervised vs. unsupervised learning<\/li>\n\n\n\n<li>Decision trees, random forests, logistic regression<\/li>\n\n\n\n<li>Model accuracy, precision, recall, F1-score<\/li>\n\n\n\n<li>Cross-validation, hyperparameter tuning<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Well-known tools<\/strong>: Scikit-learn, TensorFlow, Keras, XGBoost<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Bonus<\/strong>: Knowing how Large Language Models (LLMs) such as ChatGPT work is growing more valuable.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Data Ethics and Privacy Consciousness<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">With great power requires great responsibility.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As a data analyst, you are required to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Be GDPR-aware, data masking, and anonymisation-conscious<\/li>\n\n\n\n<li>Understand model bias and how it affects fairness<\/li>\n\n\n\n<li>Ensure transparency and auditability in data pipelines<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Learn more from OECD&#8217;s AI Principles and India&#8217;s Digital Personal Data Protection Act<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. Big Data and Cloud Tools<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">For datasets with high scale, local tools won&#8217;t do.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Learn how to use distributed computing tools such as Apache Spark and Hadoop<\/li>\n\n\n\n<li>Understand cloud environments such as AWS, Google Cloud Platform, and Azure<\/li>\n\n\n\n<li>Know how to deploy models into production environments using containers such as Docker<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These are essentials for large businesses and tech-first companies.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Top Tools For Data Analyst Should Know<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Category<\/strong><\/td><td><strong>Tools<\/strong><\/td><\/tr><tr><td>Programming Languages<\/td><td>Python, R, SQL<\/td><\/tr><tr><td>Visualisation<\/td><td>Tableau, Power BI, Seaborn, Matplotlib<\/td><\/tr><tr><td>Machine Learning<\/td><td>Scikit-learn, Keras, TensorFlow, PyTorch<\/td><\/tr><tr><td>Data Manipulation<\/td><td>Pandas, NumPy, Excel<\/td><\/tr><tr><td>Cloud Computing<\/td><td>AWS, Azure, Google Cloud<\/td><\/tr><tr><td>Big Data Processing<\/td><td>Hadoop, Apache Spark<\/td><\/tr><tr><td>Project Management<\/td><td>Jupyter Notebook, Git, VS Code<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Continuous practice on environments such as Kaggle and Google Colab will solidify tool proficiency.<\/p>\n\n\n\n<figure class=\"wp-block-image is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"849\" height=\"984\" src=\"https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2025\/07\/AD_4nXdmxzIoClj43x3y-hgHrqZ_MSiM971D46EDZyb0lCReHiP0-xYzqZQDxEnSMAGm6mQ7fgsHN8pyCrtdXIW388RCXp3d96Bj9AqhDbN5lOPSE74PzUZu9otSE9m0Tl5-jKQ4T0MT1A.png\" alt=\"Data science skills and tools\" class=\"wp-image-269423\" style=\"width:648px;height:auto\" srcset=\"https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2025\/07\/AD_4nXdmxzIoClj43x3y-hgHrqZ_MSiM971D46EDZyb0lCReHiP0-xYzqZQDxEnSMAGm6mQ7fgsHN8pyCrtdXIW388RCXp3d96Bj9AqhDbN5lOPSE74PzUZu9otSE9m0Tl5-jKQ4T0MT1A.png 849w, https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2025\/07\/AD_4nXdmxzIoClj43x3y-hgHrqZ_MSiM971D46EDZyb0lCReHiP0-xYzqZQDxEnSMAGm6mQ7fgsHN8pyCrtdXIW388RCXp3d96Bj9AqhDbN5lOPSE74PzUZu9otSE9m0Tl5-jKQ4T0MT1A-259x300.png 259w, https:\/\/imarticus.org\/blog\/wp-content\/uploads\/2025\/07\/AD_4nXdmxzIoClj43x3y-hgHrqZ_MSiM971D46EDZyb0lCReHiP0-xYzqZQDxEnSMAGm6mQ7fgsHN8pyCrtdXIW388RCXp3d96Bj9AqhDbN5lOPSE74PzUZu9otSE9m0Tl5-jKQ4T0MT1A-768x890.png 768w\" sizes=\"auto, (max-width: 849px) 100vw, 849px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Real-World Learning &gt; Theoretical Learning<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This is the area where most students fail\u2014they gain familiarity with the tools but do not have practical context to apply.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/imarticus.org\/postgraduate-program-in-data-science-analytics\/\">Imarticus Learning&#8217;s Postgraduate Program in Data Science and Analytics<\/a> provides:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>25+ actual industry projects<\/li>\n\n\n\n<li>100+ hours of hands-on coding<\/li>\n\n\n\n<li>Tools such as Tableau, Python, SQL, Power BI, and Scikit-learn<\/li>\n\n\n\n<li>Specialisations in AI, Data Visualisation, and Big Data<\/li>\n\n\n\n<li>Career guidance with 2000+ hiring partners and job-guaranteed results<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">It&#8217;s a 360\u00b0 makeover, not certification.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data Scientist vs Data Analyst &#8211; Which Is Right For You? (2025)\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Data Scientist vs Data Analyst - Which Is Right For You? (2025)\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/asKgUi3WtWU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. What are the essential data science skills?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Key skills are statistics, data cleaning, Python\/R, machine learning, and data visualisation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Which programming language will be most beneficial for data science?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Python, followed by R and SQL, are the most useful.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. Is machine learning necessary to be a data analyst?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Not necessary, but beneficial for experienced positions and to progress into data science.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>4. What software does data visualisation use?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Industry favourites include Tableau, Power BI, Seaborn, and Matplotlib.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>5. Is a technology background necessary to work in data analytics?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">No. Most successful analysts have a commerce, science, or humanities background.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>6. What is the typical time to get job-ready?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With structured learning, 6 to 9 months is possible.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>7. Do beginners need cloud computing?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Not at first, but cloud computing skills provide you with a significant advantage in enterprise roles.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>8. How is data ethics important to analysts?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It helps in maintaining transparency, fairness, and privacy in analysis is an increasing industry expectation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>9. What&#8217;s the most underappreciated skill in data science?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Communication. Your work is worth only if you can tell people about it clearly and convey the message.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>10. Is a certification sufficient to be hired?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Certifications are helpful, but project experience, mastery of tools, and interview preparation are more important.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Conclusion: Your Future Depends on Skill, Not Buzzwords<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">You can&#8217;t &#8220;wing&#8221; data science. Businesses are looking for analysts who can apply clarity to complication\u2014and that takes thinking, not just tools.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The domain is changing and evolving rapidly. Software is becoming more intelligent, datasets are becoming larger, and hiring managers want job-ready professionals, not course completions.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Key Takeaways<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Construct a core toolkit<\/strong>: Python, SQL, Tableau, and Scikit-learn are the foundation of any analyst&#8217;s arsenal<\/li>\n\n\n\n<li><strong>Get hands-on<\/strong>: Projects, case studies, and real datasets are more important than theory<\/li>\n\n\n\n<li><strong>Stay updated<\/strong>: AI integration, ethical data usage, and cloud deployment are quickly becoming table stakes<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Your Next Move: A Data Analyst with Confidence<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Don&#8217;t spend time figuring it out on your own. Learn from the experts and work on real-world challenges that reflect industry requirements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Visit the <a href=\"https:\/\/imarticus.org\/postgraduate-program-in-data-science-analytics\/\">Postgraduate Program in Data Science &amp; Analytics by Imarticus Learning<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let your data journey begin\u2014with structure, purpose, and confidence.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>With the era of algorithms, data science skills and tools are the pillars of every contemporary business decision. From suggesting products on e-commerce websites to predicting financial trends, data science has emerged as the driving force behind smart decisions. For anyone looking to join this fast-paced industry, it&#8217;s not enough to only know the buzzwords. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_mo_disable_npp":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[23,4528],"tags":[5404],"class_list":["post-269422","post","type-post","status-publish","format-standard","hentry","category-analytics","category-data-science-and-alayitcs","tag-data-science-skills-and-tools"],"acf":{"recommended_posts":"","youtube-url-id":"","publised_date":"","ls_key":"PGA Pro"},"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"With the era of algorithms, data science skills and tools are the pillars of every contemporary business decision. From suggesting products on e-commerce websites to predicting financial trends, data science has emerged as the driving force behind smart decisions. 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From suggesting products on e-commerce websites to predicting financial trends, data science has emerged as the driving force behind smart decisions. For anyone looking to join this fast-paced industry, it's not enough to only know the buzzwords.","canonical_url":"https:\/\/imarticus.org\/blog\/data-science-skills-and-tools-every-analyst-needs-to-know\/","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"en_GB","og:site_name":"Imarticus Blog -","og:type":"article","og:title":"Data Science Skills and Tools Every Analyst Needs to Know - Imarticus Blog","og:description":"With the era of algorithms, data science skills and tools are the pillars of every contemporary business decision. From suggesting products on e-commerce websites to predicting financial trends, data science has emerged as the driving force behind smart decisions. For anyone looking to join this fast-paced industry, it's not enough to only know the buzzwords.","og:url":"https:\/\/imarticus.org\/blog\/data-science-skills-and-tools-every-analyst-needs-to-know\/","article:published_time":"2025-07-08T16:17:21+00:00","article:modified_time":"2026-05-15T09:35:31+00:00","twitter:card":"summary_large_image","twitter:title":"Data Science Skills and Tools Every Analyst Needs to Know - Imarticus Blog","twitter:description":"With the era of algorithms, data science skills and tools are the pillars of every contemporary business decision. From suggesting products on e-commerce websites to predicting financial trends, data science has emerged as the driving force behind smart decisions. For anyone looking to join this fast-paced industry, it's not enough to only know the buzzwords."},"aioseo_meta_data":[],"aioseo_breadcrumb":"<div class=\"aioseo-breadcrumbs\"><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/imarticus.org\/blog\" title=\"Home\">Home<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">\u00bb<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/imarticus.org\/blog\/category\/management\/\" title=\"Management\">Management<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">\u00bb<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/imarticus.org\/blog\/category\/management\/analytics\/\" title=\"Analytics\">Analytics<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">\u00bb<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\tData Science Skills and Tools Every Analyst Needs to Know\n\t\t<\/span><\/div>","aioseo_breadcrumb_json":[{"label":"Home","link":"https:\/\/imarticus.org\/blog"},{"label":"Management","link":"https:\/\/imarticus.org\/blog\/category\/management\/"},{"label":"Analytics","link":"https:\/\/imarticus.org\/blog\/category\/management\/analytics\/"},{"label":"Data Science Skills and Tools Every Analyst Needs to Know","link":"https:\/\/imarticus.org\/blog\/data-science-skills-and-tools-every-analyst-needs-to-know\/"}],"modified_by":"Imarticus Learning","_links":{"self":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/269422","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/comments?post=269422"}],"version-history":[{"count":1,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/269422\/revisions"}],"predecessor-version":[{"id":269424,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/269422\/revisions\/269424"}],"wp:attachment":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media?parent=269422"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/categories?post=269422"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/tags?post=269422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}