{"id":34724,"date":"2024-04-03T09:47:17","date_gmt":"2024-04-03T09:47:17","guid":{"rendered":"https:\/\/aaft.com\/blog\/?p=34724"},"modified":"2025-04-21T12:29:23","modified_gmt":"2025-04-21T12:29:23","slug":"fast-track-to-data-science-career-unlock-data-secrets-in-2025","status":"publish","type":"post","link":"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/","title":{"rendered":"Fast Track to Data Science Career: Unlock Data Secrets in 2024"},"content":{"rendered":"\n<p>This blog is all about Data Science &amp; how to make a <a href=\"https:\/\/aaft.com\/blog\/data-science\/what-are-alternative-career-options-in-data-science-field\/\" data-type=\"post\" data-id=\"33550\">career in Data Science<\/a>. This complete guide is meant to show you the way to becoming a Data Science master. It does this by giving you a thorough look at the field, job tips, and secret tips on how to master the complicated parts of Data Science.<\/p>\n\n\n\n<p>Entering the field of data science in 2024 demands a diverse set of skills, ranging from technical prowess to analytical thinking. Here\u2019s a breakdown of the essential areas you should master on your journey to becoming a data scientist.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title ez-toc-toggle\" style=\"cursor:pointer\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" 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: #999;color:#999\" 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><\/span><\/a><\/span><\/div>\n<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:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Fundamental_Statistics_and_Mathematics\" >Fundamental Statistics and Mathematics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Programming_Languages_Python_R_and_SQL\" >Programming Languages: Python, R, and SQL<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Data_Manipulation_and_Analysis\" >Data Manipulation and Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Machine_Learning_and_Deep_Learning_Basics\" >Machine Learning and Deep Learning Basics<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Data_Visualization_and_Communication\" >Data Visualization and Communication<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Advancing_Your_Skills\" >Advancing Your Skills<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Data_Scientist_Salary_in_India\" >Data Scientist Salary in India<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#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-9\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#FAQs_Navigating_Your_Data_Science_Career_in_2024\" >FAQ,s: Navigating Your Data Science Career in 2024<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#How_long_does_it_take_to_become_proficient_in_data_science\" >How long does it take to become proficient in data science?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Do_I_need_a_degree_in_data_science_to_start_a_career_in_this_field\" >Do I need a degree in data science to start a career in this field?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#What_industries_need_data_scientists\" >What industries need data scientists?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Can_I_learn_data_science_on_my_own\" >Can I learn data science on my own?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#How_important_are_soft_skills_in_a_data_science_career\" >How important are soft skills in a data science career?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/aaft.com\/blog\/data-science\/fast-track-to-data-science-career-unlock-data-secrets-in-2025\/#Whats_the_best_way_to_stay_updated_with_data_science_trends\" >What\u2019s the best way to stay updated with data science trends?<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Fundamental_Statistics_and_Mathematics\"><\/span><strong>Fundamental Statistics and Mathematics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Read Also:<\/strong> <a href=\"https:\/\/aaft.com\/blog\/data-science\/future-data-navigating-the-landscape-of-data-science-trends-in-2024\/\" target=\"_blank\" rel=\"noreferrer noopener\">Future Data: Navigating the Landscape of Data Science Trends in 2024<\/a><\/p>\n\n\n\n<p>At the heart of data science lies a solid understanding of statistics and mathematics. These subjects provide the foundation for making sense of data, allowing you to uncover patterns, make predictions, and drive decision-making processes with confidence. Focus on mastering concepts such as probability, statistical inference, linear algebra, and calculus. Grasping these basics will not only help you interpret data accurately but also enable you to understand the mechanics behind machine learning algorithms.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Programming_Languages_Python_R_and_SQL\"><\/span><strong>Programming Languages: Python, R, and SQL<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Data science and programming go hand in hand. Python and R are the two powerhouses of <a href=\"https:\/\/aaft.com\/bsc-in-data-science\" target=\"_blank\" rel=\"noreferrer noopener\">data science programming<\/a>, known for their versatility and the vast ecosystem of libraries and frameworks they support. Python, with its simplicity and readability, is particularly popular among beginners and experts alike. Libraries such as NumPy, Pandas, and Scikit-learn turn complex data manipulation and analysis tasks into manageable ones. R, on the other hand, is highly esteemed in statistical analysis and graphical models, making it a favorite for projects requiring sophisticated statistical methods.<\/p>\n\n\n\n<p><strong>Read Also:<\/strong> <a href=\"https:\/\/aaft.com\/blog\/data-science\/how-data-science-is-changing-the-world\/\" target=\"_blank\" rel=\"noreferrer noopener\">How Data Science is Changing the World<\/a><\/p>\n\n\n\n<p>SQL (Structured Query Language) remains indispensable for data scientists, as it allows for efficient data retrieval, manipulation, and storage from relational databases. Mastering SQL enables you to handle and query large datasets, a critical skill in any data scientist&#8217;s toolbox.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Data_Manipulation_and_Analysis\"><\/span>Data Manipulation and Analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Before you can unlock the insights data holds, you need to clean, manipulate, and analyze it. Data rarely comes in a neat package, so learning how to handle missing values, outliers, and inconsistencies is crucial. Tools and libraries like Pandas for Python offer powerful functionalities for data manipulation, enabling you to prepare your data for analysis swiftly.<\/p>\n\n\n\n<p><strong>Read Also:<\/strong> <a href=\"https:\/\/aaft.com\/blog\/data-science\/data-science-essential-skills-for-a-career-in-the-field\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Science: Essential Skills for a Career in the Field<\/a><\/p>\n\n\n\n<p>Once your data is clean, the next step is to analyze it to identify trends, patterns, and correlations. This involves statistical testing, exploratory data analysis (EDA), and building predictive models, among other techniques. The ability to analyze data effectively is what turns raw data into actionable insights.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Machine_Learning_and_Deep_Learning_Basics\"><\/span><strong>Machine Learning and Deep Learning Basics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Machine learning is at the forefront of data science, enabling computers to learn from and make decisions based on data. As a data scientist, a fundamental understanding of machine learning algorithms\u2014from linear regression and decision trees to more advanced neural networks and deep learning models\u2014is essential. Familiarize yourself with the scenarios each type of algorithm is best suited for, and practice building and tuning models to solve real-world problems.<\/p>\n\n\n\n<p>Deep learning, a subset of machine learning, is particularly relevant in fields like image and speech recognition, natural language processing, and more. Understanding the basics of neural networks and how to apply them using frameworks like TensorFlow or PyTorch will give you a significant edge in the job market.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Data_Visualization_and_Communication\"><\/span><strong>Data Visualization and Communication<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><br>The ability to visualize data effectively and communicate your findings clearly is what sets great data scientists apart. Tools like Matplotlib and Seaborn (for Python), and ggplot2 (for R) are instrumental in creating informative and appealing visualizations. However, beyond knowing how to use these tools, you should also develop an eye for which type of visualization best represents your data and findings.<\/p>\n\n\n\n<p><strong>Read Also:<\/strong> <a href=\"https:\/\/aaft.com\/blog\/data-science\/how-data-science-transforms-non-technical-industries\/\" target=\"_blank\" rel=\"noreferrer noopener\">How Data Science Transforms Non-Technical Industries<\/a><\/p>\n\n\n\n<p>Equally important is your ability to communicate complex results to non-technical stakeholders. Developing storytelling skills and being able to explain your methodologies and insights in a clear, concise manner will ensure your work has the impact it deserves.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Advancing_Your_Skills\"><\/span>Advancing Your Skills<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Becoming proficient in these areas requires time, practice, and continuous learning. Participate in online courses, attend workshops, and get involved in data science projects to apply what you\u2019ve learned in real-world scenarios. Remember, the field of data science is always evolving, so staying curious and keeping up with the latest technologies and methodologies is key.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"626\" height=\"417\" data-id=\"34780\" src=\"https:\/\/aaft.com\/blog\/wp-content\/uploads\/2024\/05\/1-1.jpg\" alt=\"\" class=\"wp-image-34780\" srcset=\"https:\/\/aaft.com\/blog\/wp-content\/uploads\/2024\/05\/1-1.jpg 626w, https:\/\/aaft.com\/blog\/wp-content\/uploads\/2024\/05\/1-1-300x200.jpg 300w\" sizes=\"(max-width: 626px) 100vw, 626px\" title=\"\"><\/figure>\n<\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Data_Scientist_Salary_in_India\"><\/span>Data Scientist Salary in India<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>In 2024, the salary for data scientists in India varies widely depending on experience, location, company size, and industry. Here\u2019s a breakdown of what to expect:<\/p>\n\n\n\n<ul>\n<li><strong>Experience<\/strong>: More experienced data scientists earn significantly more. For instance, those with 1-4 years of experience make around \u20b9855,909 per year, and this increases to about \u20b91,994,231 for those with 10-19 years of experience.<\/li>\n\n\n\n<li><strong>Location<\/strong>: Salaries are higher in major cities like Bangalore, Mumbai, and Delhi compared to smaller cities.<\/li>\n\n\n\n<li><strong>Company and Industry<\/strong>: Larger companies and industries like tech and finance often pay more. For example, data scientists at large e-commerce companies can earn up to \u20b920 lakhs annually.<\/li>\n\n\n\n<li><strong>Skills<\/strong>: Advanced skills in machine learning and big data can lead to higher pay.<\/li>\n<\/ul>\n\n\n\n<p>How experience affects your data science salary in India (yearly ranges):<\/p>\n\n\n\n<ul>\n<li><strong>Entry-level (0-2 yrs):<\/strong> \u20b94 lakhs to \u20b98 lakhs.<\/li>\n\n\n\n<li><strong>Junior (1-4 yrs):<\/strong> \u20b93.46 lakhs to \u20b920 lakhs.<\/li>\n\n\n\n<li><strong>Mid-level (5-9 yrs):<\/strong> \u20b96.06 lakhs to \u20b930 lakhs.<\/li>\n\n\n\n<li><strong>Senior (10+ yrs):<\/strong> \u20b910 lakhs to \u20b945 lakhs.<\/li>\n\n\n\n<li><strong>Lead Data Scientist:<\/strong> \u20b924 lakhs to \u20b91 crore.<\/li>\n<\/ul>\n\n\n\n<p><strong>Other factors affecting salary:<\/strong> Besides experience, keep in mind that your skill set, job title, company size and location can also influence your data science salary in India.<\/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>The field of data science is always changing, with new methods, tools, and uses coming out all the time. Your journey through data science is sure to be interesting and important. You will learn the basics of programming and statistical analysis, as well as how to use machine learning and easily explain complex data insights.<\/p>\n\n\n\n<p>As different as the field of data science itself, the path to becoming one is made up of a web of experiences, hobbies, and unique ways to learn. Being flexible, actively seeking hands-on experience, and getting involved with the busy data science community will not only help you get better at what you do, but it will also open up a lot of doors for you.<\/p>\n\n\n\n<p><strong>Read Also:<\/strong> <a href=\"https:\/\/aaft.com\/blog\/data-science\/what-are-alternative-career-options-in-data-science-field\/\" target=\"_blank\" rel=\"noreferrer noopener\">What are alternative career options in the Data Science field?<\/a><\/p>\n\n\n\n<p>The <a href=\"https:\/\/aaft.com\/schoolofdatascience\" target=\"_blank\" rel=\"noreferrer noopener\">AAFT School of Data Science<\/a> is ready to help you on your way. <a href=\"https:\/\/aaft.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">AAFT <\/a>makes sure you are ready to take on the challenges of data science and become a star in the field by offering a wide range of courses that are meant to give you the most up-to-date skills and information needed in today&#8217;s data-driven world.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"FAQs_Navigating_Your_Data_Science_Career_in_2024\"><\/span>FAQ,s: <strong>Navigating Your Data Science Career in 2024<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1712135465773\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"How_long_does_it_take_to_become_proficient_in_data_science\"><\/span>How long does it take to become proficient in data science?<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"rank-math-answer \">\n\n<p>The time it takes to become proficient in data science varies based on your background, the time you dedicate to learning, and your learning methods. Generally, with consistent study and practical application, you can gain a solid foundational knowledge in 1-2 years.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1712135490616\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"Do_I_need_a_degree_in_data_science_to_start_a_career_in_this_field\"><\/span>Do I need a degree in data science to start a career in this field?<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"rank-math-answer \">\n\n<p>While a degree in data science or a related field can be beneficial, it&#8217;s not strictly necessary. Many successful data scientists have backgrounds in unrelated fields and have transitioned through self-study, boot camps, and online courses that offer practical experience.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1712135503959\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"What_industries_need_data_scientists\"><\/span>What industries need data scientists?<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"rank-math-answer \">\n\n<p>Virtually every industry can benefit from data science, including healthcare, finance, retail, technology, education, and government. The demand is widespread and not limited to tech companies.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1712135515782\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"Can_I_learn_data_science_on_my_own\"><\/span>Can I learn data science on my own?<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"rank-math-answer \">\n\n<p>Yes, it&#8217;s possible to learn data science on your own through online courses, tutorials, and hands-on projects. Resources like MOOCs (Massive Open Online Courses), community forums, and datasets for practice are widely available.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1712135529705\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"How_important_are_soft_skills_in_a_data_science_career\"><\/span>How important are soft skills in a data science career?<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"rank-math-answer \">\n\n<p>Soft skills, such as communication, problem-solving, and teamwork, are crucial in data science. They enable you to effectively present your findings, collaborate with others, and contribute to data-driven decision-making processes.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1712135542551\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"Whats_the_best_way_to_stay_updated_with_data_science_trends\"><\/span>What\u2019s the best way to stay updated with data science trends?<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"rank-math-answer \">\n\n<p>Follow data science blogs, subscribe to newsletters, join professional organizations, and participate in data science communities and forums. Attending conferences and webinars can also help you stay connected with the latest in the field.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>This blog is all about Data Science &#038; how to make a career in Data Science. This complete guide is meant to show you the way to becoming a Data Science master. It does this by giving you a thorough look at the field, job tips, and secret tips on how to master the complicated parts of Data Science.<\/p>\n","protected":false},"author":7,"featured_media":34725,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[423],"tags":[701,426,553,659],"_links":{"self":[{"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/posts\/34724"}],"collection":[{"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/comments?post=34724"}],"version-history":[{"count":5,"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/posts\/34724\/revisions"}],"predecessor-version":[{"id":36638,"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/posts\/34724\/revisions\/36638"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/media\/34725"}],"wp:attachment":[{"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/media?parent=34724"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/categories?post=34724"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aaft.com\/blog\/wp-json\/wp\/v2\/tags?post=34724"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}