{"id":3951,"date":"2024-12-03T05:05:31","date_gmt":"2024-12-03T05:05:31","guid":{"rendered":"https:\/\/www.kaashivinfotech.com\/blog\/?p=3951"},"modified":"2025-07-23T10:17:21","modified_gmt":"2025-07-23T10:17:21","slug":"data-analytics-interview-questions-for-fresher-with-answers","status":"publish","type":"post","link":"https:\/\/www.kaashivinfotech.com\/blog\/data-analytics-interview-questions-for-fresher-with-answers\/","title":{"rendered":"Data Analytics Interview Questions for Fresher with Answers [Updated]"},"content":{"rendered":"<p data-start=\"367\" data-end=\"818\">If you&#8217;re preparing for <strong data-start=\"391\" data-end=\"439\">interview questions for data analyst fresher<\/strong>, you&#8217;re in the right place. This guide is designed to help fresh graduates and entry-level candidates tackle <strong data-start=\"549\" data-end=\"587\">data analytics interview questions<\/strong> with confidence. Whether you&#8217;re facing your first data-related job interview or exploring career opportunities in analytics, here are the essential topics and <strong data-start=\"747\" data-end=\"798\">data analytics interview questions for freshers<\/strong> that you must know.<\/p>\n<h3 data-start=\"820\" data-end=\"850\">\ud83d\udd0d What is Data Analytics?<\/h3>\n<figure id=\"attachment_8933\" aria-describedby=\"caption-attachment-8933\" style=\"width: 540px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-8933\" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Data-Analytics.png\" alt=\"interview questions for data analyst fresher\" width=\"540\" height=\"320\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Data-Analytics.png 540w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Data-Analytics-300x178.png 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Data-Analytics-332x197.png 332w\" sizes=\"auto, (max-width: 540px) 100vw, 540px\" \/><figcaption id=\"caption-attachment-8933\" class=\"wp-caption-text\">Data Analytics<\/figcaption><\/figure>\n<p data-start=\"852\" data-end=\"1167\">Data analytics involves examining, cleaning, transforming, and modeling raw data to discover useful information, draw conclusions, and support decision-making. In interviews, <a href=\"https:\/\/www.wikitechy.com\/interview-questions\/\" target=\"_blank\" rel=\"noopener\"><strong data-start=\"1027\" data-end=\"1071\">data analyst fresher interview questions<\/strong><\/a> often focus on your ability to handle basic data tasks and tools used in the analytics process.<\/p>\n<h2 data-start=\"762\" data-end=\"824\">\u2705 Why Practicing Data Analytics Interview Questions Matters<\/h2>\n<p data-start=\"826\" data-end=\"1085\">Practicing <strong data-start=\"837\" data-end=\"875\">data analytics interview questions<\/strong> will boost your confidence, sharpen your responses, and help you explain concepts clearly during interviews. Review technical skills and also be prepared to discuss real-world scenarios or internship projects.<\/p>\n<h3 data-start=\"1169\" data-end=\"1196\">\ud83d\udccc Key Interview Areas:<\/h3>\n<figure id=\"attachment_8934\" aria-describedby=\"caption-attachment-8934\" style=\"width: 552px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-8934\" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas.png\" alt=\"interview questions for data analyst fresher\" width=\"552\" height=\"368\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas.png 1536w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-300x200.png 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-1024x683.png 1024w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-768x512.png 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-332x221.png 332w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-664x443.png 664w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-688x459.png 688w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-1044x696.png 1044w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Key-Interiew-Areas-1400x933.png 1400w\" sizes=\"auto, (max-width: 552px) 100vw, 552px\" \/><figcaption id=\"caption-attachment-8934\" class=\"wp-caption-text\">Key Interview Areas<\/figcaption><\/figure>\n<p data-start=\"1198\" data-end=\"1285\">Here\u2019s what you can expect in most <strong data-start=\"1233\" data-end=\"1284\">data analytics interview questions for freshers<\/strong>:<\/p>\n<h3 data-start=\"1292\" data-end=\"1335\">1. <strong data-start=\"1299\" data-end=\"1335\">Basic Concepts of Data Analytics<\/strong><\/h3>\n<p data-start=\"1337\" data-end=\"1354\">You may be asked:<\/p>\n<ul data-start=\"1356\" data-end=\"1498\">\n<li data-start=\"1356\" data-end=\"1422\">\n<p data-start=\"1358\" data-end=\"1422\">What is the difference between data analysis and data analytics?<\/p>\n<\/li>\n<li data-start=\"1423\" data-end=\"1464\">\n<p data-start=\"1425\" data-end=\"1464\">What is data wrangling or data munging?<\/p>\n<\/li>\n<li data-start=\"1465\" data-end=\"1498\">\n<p data-start=\"1467\" data-end=\"1498\">Why is data cleaning important?<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1500\" data-end=\"1646\">These <strong data-start=\"1506\" data-end=\"1554\">interview questions for data analyst fresher<\/strong> test your understanding of the core concepts of processing and preparing data for analysis.<\/p>\n<h3 data-start=\"1653\" data-end=\"1686\">2. <strong data-start=\"1660\" data-end=\"1686\">Tools and Technologies<\/strong><\/h3>\n<p data-start=\"1688\" data-end=\"1752\">Common <strong data-start=\"1695\" data-end=\"1733\">data analytics interview questions<\/strong> for tools include:<\/p>\n<ul data-start=\"1754\" data-end=\"1920\">\n<li data-start=\"1754\" data-end=\"1812\">\n<p data-start=\"1756\" data-end=\"1812\">What are your top Excel functions used in data analysis?<\/p>\n<\/li>\n<li data-start=\"1813\" data-end=\"1868\">\n<p data-start=\"1815\" data-end=\"1868\">Write a basic SQL query to extract data from a table.<\/p>\n<\/li>\n<li data-start=\"1869\" data-end=\"1920\">\n<p data-start=\"1871\" data-end=\"1920\">How do you use Python or R for data manipulation?<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1922\" data-end=\"2056\">Interviewers look for basic proficiency in tools like Excel, SQL, Python, or R\u2014key skills in every <strong data-start=\"2021\" data-end=\"2055\">data analyst fresher interview<\/strong>.<\/p>\n<h3 data-start=\"2063\" data-end=\"2097\">3. <strong data-start=\"2070\" data-end=\"2097\">Foundational Statistics<\/strong><\/h3>\n<p data-start=\"2099\" data-end=\"2124\">Expect questions such as:<\/p>\n<ul data-start=\"2126\" data-end=\"2245\">\n<li data-start=\"2126\" data-end=\"2159\">\n<p data-start=\"2128\" data-end=\"2159\">Explain mean, median, and mode.<\/p>\n<\/li>\n<li data-start=\"2160\" data-end=\"2201\">\n<p data-start=\"2162\" data-end=\"2201\">What is standard deviation or variance?<\/p>\n<\/li>\n<li data-start=\"2202\" data-end=\"2245\">\n<p data-start=\"2204\" data-end=\"2245\">How do you interpret probability in data?<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2247\" data-end=\"2378\"><strong data-start=\"2247\" data-end=\"2291\">Data analyst fresher interview questions<\/strong> often check your statistical literacy to ensure you can interpret datasets accurately.<\/p>\n<h3 data-start=\"2385\" data-end=\"2421\">4. <strong data-start=\"2392\" data-end=\"2421\">Data Visualization Skills<\/strong><\/h3>\n<p data-start=\"2423\" data-end=\"2489\">Visualization is crucial in analytics. You may get questions like:<\/p>\n<ul data-start=\"2491\" data-end=\"2627\">\n<li data-start=\"2491\" data-end=\"2546\">\n<p data-start=\"2493\" data-end=\"2546\">What types of charts do you use for time-series data?<\/p>\n<\/li>\n<li data-start=\"2547\" data-end=\"2577\">\n<p data-start=\"2549\" data-end=\"2577\">Compare Tableau vs Power BI.<\/p>\n<\/li>\n<li data-start=\"2578\" data-end=\"2627\">\n<p data-start=\"2580\" data-end=\"2627\">How do you use Matplotlib or Seaborn in Python?<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2629\" data-end=\"2742\">These <strong data-start=\"2635\" data-end=\"2686\">data analytics interview questions for freshers<\/strong> test your ability to communicate data insights clearly.<\/p>\n<h3 data-start=\"2749\" data-end=\"2796\">5. <strong data-start=\"2756\" data-end=\"2796\">Handling Missing Values &amp; Data Types<\/strong><\/h3>\n<p data-start=\"2798\" data-end=\"2823\">Expect questions such as:<\/p>\n<ul data-start=\"2825\" data-end=\"2984\">\n<li data-start=\"2825\" data-end=\"2881\">\n<p data-start=\"2827\" data-end=\"2881\">How do you handle missing or null values in a dataset?<\/p>\n<\/li>\n<li data-start=\"2882\" data-end=\"2941\">\n<p data-start=\"2884\" data-end=\"2941\">What are the types of data (quantitative vs categorical)?<\/p>\n<\/li>\n<li data-start=\"2942\" data-end=\"2984\">\n<p data-start=\"2944\" data-end=\"2984\">How do you convert data types in Python?<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2986\" data-end=\"3123\">Handling messy data is part of daily work, so <strong data-start=\"3032\" data-end=\"3080\">interview questions for data analyst fresher<\/strong> often focus on these real-world scenarios.<\/p>\n<h3 data-start=\"3130\" data-end=\"3174\">6. <strong data-start=\"3137\" data-end=\"3174\">Basic Machine Learning (Optional)<\/strong><\/h3>\n<p data-start=\"3176\" data-end=\"3218\">If your resume mentions ML, you might get:<\/p>\n<ul data-start=\"3220\" data-end=\"3381\">\n<li data-start=\"3220\" data-end=\"3290\">\n<p data-start=\"3222\" data-end=\"3290\">What is the difference between supervised and unsupervised learning?<\/p>\n<\/li>\n<li data-start=\"3291\" data-end=\"3344\">\n<p data-start=\"3293\" data-end=\"3344\">Name some common algorithms used in data analytics.<\/p>\n<\/li>\n<li data-start=\"3345\" data-end=\"3381\">\n<p data-start=\"3347\" data-end=\"3381\">Have you worked with scikit-learn?<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3383\" data-end=\"3505\">Although optional for freshers, these <strong data-start=\"3421\" data-end=\"3459\">data analytics interview questions<\/strong> show your enthusiasm to go beyond the basics.<\/p>\n<div class=\"block__bord\"><a href=\"https:\/\/www.kaashivinfotech.com\/data-analytics-course-in-chennai\/\">Data Analytics Course In Chennai<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/blog\/data-analyst-salary-in-india\/\">Data Analyst Salary In India<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/blog\/data-analyst-skills\/\">Data Analyst Skills<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/python-course\/\">Python Course In Chennai<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/python-full-stack-development-course-in-chennai\/\">Full Stack Python Course In Chennai<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/data-science-course\/\">Data Science Course In Chennai<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/blog\/fullstack-python-interview-questions-for-fresher-with-answers\/#google_vignette\">Full Stack Python Interview Questions<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/internship-in-chennai\/\">Internships In Chennai<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/internship-for-cse-students\/\">Internship For CSE In Chennai<\/a><br \/>\n<a href=\"https:\/\/www.kaashivinfotech.com\/internship-for-it-students\/\">Internship For IT In Chennai<\/a><\/div>\n<p style=\"text-align: justify;\">Demonstrating an understanding of the data lifecycle, analytical problem-solving skills, and an ability to communicate insights clearly will be key in a data analytics interview.<\/p>\n<p style=\"text-align: justify;\">Here the most important Data Analytics Interview Questions for Fresher with Answers.<\/p>\n<h2 data-start=\"1668\" data-end=\"1739\">\u2705 How to Prepare for Data Analytics Interview Questions for Freshers<\/h2>\n<p data-start=\"1741\" data-end=\"1834\">To excel in <strong data-start=\"1753\" data-end=\"1804\">data analytics interview questions for freshers<\/strong>, follow these key strategies:<\/p>\n<ul data-start=\"1836\" data-end=\"2240\">\n<li data-start=\"1836\" data-end=\"1939\">\n<p data-start=\"1838\" data-end=\"1939\">Enroll in beginner-friendly <strong data-start=\"1868\" data-end=\"1893\">data analysis courses<\/strong> that cover both theory and practical skills<\/p>\n<\/li>\n<li data-start=\"1940\" data-end=\"2005\">\n<p data-start=\"1942\" data-end=\"2005\">Practice SQL queries for data extraction and transformation<\/p>\n<\/li>\n<li data-start=\"2006\" data-end=\"2089\">\n<p data-start=\"2008\" data-end=\"2089\">Use Python libraries like Pandas and Matplotlib to explore and visualize data<\/p>\n<\/li>\n<li data-start=\"2090\" data-end=\"2165\">\n<p data-start=\"2092\" data-end=\"2165\">Create personal projects or case studies to discuss during interviews<\/p>\n<\/li>\n<li data-start=\"2166\" data-end=\"2240\">\n<p data-start=\"2168\" data-end=\"2240\">Learn to explain data trends using dashboards in Tableau or Power BI<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2242\" data-end=\"2431\">These actions will boost your confidence while answering <strong data-start=\"2299\" data-end=\"2347\">interview questions for data analyst fresher<\/strong> and show your interviewer that you&#8217;re passionate about data-driven problem-solving.<\/p>\n<h2 data-start=\"360\" data-end=\"429\">\u2705 Top 40 Interview Questions for Data Analyst Fresher with Answers<\/h2>\n<figure id=\"attachment_8936\" aria-describedby=\"caption-attachment-8936\" style=\"width: 540px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-8936\" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst.png\" alt=\"interview questions for data analyst fresher\" width=\"540\" height=\"360\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst.png 1536w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-300x200.png 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-1024x683.png 1024w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-768x512.png 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-332x221.png 332w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-664x443.png 664w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-688x459.png 688w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-1044x696.png 1044w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2024\/12\/Top-Interview-Questions-for-Data-Analyst-1400x933.png 1400w\" sizes=\"auto, (max-width: 540px) 100vw, 540px\" \/><figcaption id=\"caption-attachment-8936\" class=\"wp-caption-text\">Top Interview Questions for Data Analyst<\/figcaption><\/figure>\n<h3 data-start=\"431\" data-end=\"467\">1. <strong data-start=\"438\" data-end=\"465\">What is Data Analytics?<\/strong><\/h3>\n<p data-start=\"468\" data-end=\"767\"><strong data-start=\"524\" data-end=\"535\">Answer:<\/strong><br data-start=\"535\" data-end=\"538\" \/>Data analytics is the process of examining raw data to uncover trends, patterns, and insights. It helps businesses make data-driven decisions. The process often involves data cleaning, transformation, modeling, and visualization.<\/p>\n<h3 data-start=\"774\" data-end=\"842\">2. <strong data-start=\"781\" data-end=\"840\">Differentiate between Data Analytics and Data Analysis.<\/strong><\/h3>\n<p data-start=\"843\" data-end=\"909\"><strong data-start=\"896\" data-end=\"907\">Answer:<\/strong><\/p>\n<ul data-start=\"910\" data-end=\"1170\">\n<li data-start=\"910\" data-end=\"966\">\n<p data-start=\"912\" data-end=\"966\"><strong data-start=\"912\" data-end=\"929\">Data Analysis<\/strong> is a subset of <strong data-start=\"945\" data-end=\"963\">Data Analytics<\/strong>.<\/p>\n<\/li>\n<li data-start=\"967\" data-end=\"1045\">\n<p data-start=\"969\" data-end=\"1045\"><strong data-start=\"969\" data-end=\"986\">Data Analysis<\/strong> is about inspecting datasets to find useful information.<\/p>\n<\/li>\n<li data-start=\"1046\" data-end=\"1170\">\n<p data-start=\"1048\" data-end=\"1170\"><strong data-start=\"1048\" data-end=\"1066\">Data Analytics<\/strong> includes not only analysis but also data engineering, modeling, visualization, and predictive analysis.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"1177\" data-end=\"1231\">3. <strong data-start=\"1184\" data-end=\"1229\">Explain the life cycle of Data Analytics.<\/strong><\/h3>\n<p data-start=\"1232\" data-end=\"1294\"><strong data-start=\"1281\" data-end=\"1292\">Answer:<\/strong><\/p>\n<ol data-start=\"1295\" data-end=\"1420\">\n<li data-start=\"1295\" data-end=\"1315\">\n<p data-start=\"1298\" data-end=\"1315\">Data Collection<\/p>\n<\/li>\n<li data-start=\"1316\" data-end=\"1334\">\n<p data-start=\"1319\" data-end=\"1334\">Data Cleaning<\/p>\n<\/li>\n<li data-start=\"1335\" data-end=\"1356\">\n<p data-start=\"1338\" data-end=\"1356\">Data Exploration<\/p>\n<\/li>\n<li data-start=\"1357\" data-end=\"1375\">\n<p data-start=\"1360\" data-end=\"1375\">Data Modeling<\/p>\n<\/li>\n<li data-start=\"1376\" data-end=\"1400\">\n<p data-start=\"1379\" data-end=\"1400\">Data Interpretation<\/p>\n<\/li>\n<li data-start=\"1401\" data-end=\"1420\">\n<p data-start=\"1404\" data-end=\"1420\">Data Reporting<\/p>\n<\/li>\n<\/ol>\n<h3 data-start=\"1427\" data-end=\"1492\">4. <strong data-start=\"1434\" data-end=\"1490\">What are the key responsibilities of a Data Analyst?<\/strong><\/h3>\n<p data-start=\"1493\" data-end=\"1562\"><strong data-start=\"1549\" data-end=\"1560\">Answer:<\/strong><\/p>\n<ul data-start=\"1563\" data-end=\"1724\">\n<li data-start=\"1563\" data-end=\"1607\">\n<p data-start=\"1565\" data-end=\"1607\">Collecting, cleaning, and analyzing data<\/p>\n<\/li>\n<li data-start=\"1608\" data-end=\"1643\">\n<p data-start=\"1610\" data-end=\"1643\">Creating reports and dashboards<\/p>\n<\/li>\n<li data-start=\"1644\" data-end=\"1679\">\n<p data-start=\"1646\" data-end=\"1679\">Identifying trends and patterns<\/p>\n<\/li>\n<li data-start=\"1680\" data-end=\"1724\">\n<p data-start=\"1682\" data-end=\"1724\">Supporting decision-making with insights<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"1731\" data-end=\"1771\">5. <strong data-start=\"1738\" data-end=\"1769\">What are the types of data?<\/strong><\/h3>\n<p data-start=\"1772\" data-end=\"1838\"><strong data-start=\"1825\" data-end=\"1836\">Answer:<\/strong><\/p>\n<ul data-start=\"1839\" data-end=\"1985\">\n<li data-start=\"1839\" data-end=\"1897\">\n<p data-start=\"1841\" data-end=\"1897\"><strong data-start=\"1841\" data-end=\"1855\">Structured<\/strong>: Data in rows\/columns (e.g., databases)<\/p>\n<\/li>\n<li data-start=\"1898\" data-end=\"1942\">\n<p data-start=\"1900\" data-end=\"1942\"><strong data-start=\"1900\" data-end=\"1916\">Unstructured<\/strong>: Emails, videos, images<\/p>\n<\/li>\n<li data-start=\"1943\" data-end=\"1985\">\n<p data-start=\"1945\" data-end=\"1985\"><strong data-start=\"1945\" data-end=\"1964\">Semi-structured<\/strong>: XML, JSON formats<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"1992\" data-end=\"2028\">6. <strong data-start=\"1999\" data-end=\"2026\">What is data wrangling?<\/strong><\/h3>\n<p data-start=\"2029\" data-end=\"2256\"><strong data-start=\"2078\" data-end=\"2089\">Answer:<\/strong><br data-start=\"2089\" data-end=\"2092\" \/>Data wrangling is the process of cleaning and transforming raw data into a usable format. This includes handling missing values, duplicates, and converting formats.<\/p>\n<h3 data-start=\"2263\" data-end=\"2307\">7. <strong data-start=\"2270\" data-end=\"2305\">How do you handle missing data?<\/strong><\/h3>\n<p data-start=\"2308\" data-end=\"2364\"><strong data-start=\"2351\" data-end=\"2362\">Answer:<\/strong><\/p>\n<ul data-start=\"2365\" data-end=\"2466\">\n<li data-start=\"2365\" data-end=\"2385\">\n<p data-start=\"2367\" data-end=\"2385\">Removing records<\/p>\n<\/li>\n<li data-start=\"2386\" data-end=\"2421\">\n<p data-start=\"2388\" data-end=\"2421\">Replacing with mean\/median\/mode<\/p>\n<\/li>\n<li data-start=\"2422\" data-end=\"2466\">\n<p data-start=\"2424\" data-end=\"2466\">Using interpolation or predictive models<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"2473\" data-end=\"2513\">8. <strong data-start=\"2480\" data-end=\"2511\">What is data normalization?<\/strong><\/h3>\n<p data-start=\"2514\" data-end=\"2721\"><strong data-start=\"2570\" data-end=\"2581\">Answer:<\/strong><br data-start=\"2581\" data-end=\"2584\" \/>Normalization scales data to bring all values into a similar range, typically 0 to 1, especially helpful for machine learning algorithms.<\/p>\n<h3 data-start=\"2728\" data-end=\"2763\">9. <strong data-start=\"2735\" data-end=\"2761\">What is data cleaning?<\/strong><\/h3>\n<p data-start=\"2764\" data-end=\"2976\"><strong data-start=\"2817\" data-end=\"2828\">Answer:<\/strong><br data-start=\"2828\" data-end=\"2831\" \/>Data cleaning involves removing inaccurate, corrupted, or incomplete data. Steps include handling null values, removing outliers, and formatting.<\/p>\n<h3 data-start=\"2983\" data-end=\"3037\">10. <strong data-start=\"2991\" data-end=\"3035\">What is exploratory data analysis (EDA)?<\/strong><\/h3>\n<p data-start=\"3038\" data-end=\"3219\"><strong data-start=\"3087\" data-end=\"3098\">Answer:<\/strong><br data-start=\"3098\" data-end=\"3101\" \/>EDA involves summarizing and visualizing data using graphs and statistics to understand its structure before analysis.<\/p>\n<h3 data-start=\"3226\" data-end=\"3272\">11. <strong data-start=\"3234\" data-end=\"3270\">What tools do data analysts use?<\/strong><\/h3>\n<p data-start=\"3273\" data-end=\"3353\"><strong data-start=\"3273\" data-end=\"3284\">Answer:<\/strong><br data-start=\"3284\" data-end=\"3287\" \/>Excel, SQL, Python, R, Tableau, Power BI, Google Sheets, SAS, etc.<\/p>\n<h3 data-start=\"3360\" data-end=\"3423\">12. <strong data-start=\"3368\" data-end=\"3421\">What Excel functions are useful in data analysis?<\/strong><\/h3>\n<p data-start=\"3424\" data-end=\"3546\"><strong data-start=\"3467\" data-end=\"3478\">Answer:<\/strong><br data-start=\"3478\" data-end=\"3481\" \/>VLOOKUP, INDEX-MATCH, Pivot Tables, COUNTIF, SUMIF, IFERROR, etc.<\/p>\n<h3 data-start=\"3553\" data-end=\"3628\">13. <strong data-start=\"3561\" data-end=\"3626\">Write a basic SQL query to fetch employee names from a table.<\/strong><\/h3>\n<p data-start=\"3629\" data-end=\"3695\"><strong data-start=\"3682\" data-end=\"3693\">Answer:<\/strong><\/p>\n<div class=\"contain-inline-size rounded-2xl relative bg-token-sidebar-surface-primary\">\n<div class=\"overflow-y-auto p-4\" dir=\"ltr\"><code class=\"\" data-line=\"\">&lt;span class=&quot;hljs-keyword&quot;&gt;SELECT&lt;\/span&gt; employee_name &lt;span class=&quot;hljs-keyword&quot;&gt;FROM&lt;\/span&gt; employees;<br \/>\n<\/code><\/div>\n<\/div>\n<h3 data-start=\"3750\" data-end=\"3801\">14. <strong data-start=\"3758\" data-end=\"3799\">What is a JOIN in SQL? Explain types.<\/strong><\/h3>\n<p data-start=\"3802\" data-end=\"3914\"><strong data-start=\"3858\" data-end=\"3869\">Answer:<\/strong><br data-start=\"3869\" data-end=\"3872\" \/>JOIN combines rows from multiple tables.<\/p>\n<ul data-start=\"3915\" data-end=\"3978\">\n<li data-start=\"3915\" data-end=\"3929\">\n<p data-start=\"3917\" data-end=\"3929\">INNER JOIN<\/p>\n<\/li>\n<li data-start=\"3930\" data-end=\"3943\">\n<p data-start=\"3932\" data-end=\"3943\">LEFT JOIN<\/p>\n<\/li>\n<li data-start=\"3944\" data-end=\"3958\">\n<p data-start=\"3946\" data-end=\"3958\">RIGHT JOIN<\/p>\n<\/li>\n<li data-start=\"3959\" data-end=\"3978\">\n<p data-start=\"3961\" data-end=\"3978\">FULL OUTER JOIN<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"3985\" data-end=\"4035\">15. <strong data-start=\"3993\" data-end=\"4033\">What are aggregate functions in SQL?<\/strong><\/h3>\n<p data-start=\"4036\" data-end=\"4146\"><strong data-start=\"4036\" data-end=\"4047\">Answer:<\/strong><br data-start=\"4047\" data-end=\"4050\" \/>Functions like COUNT(), SUM(), AVG(), MAX(), MIN() used to perform calculations on data columns.<\/p>\n<h3 data-start=\"4153\" data-end=\"4202\">16. <strong data-start=\"4161\" data-end=\"4200\">Explain primary key vs foreign key.<\/strong><\/h3>\n<p data-start=\"4203\" data-end=\"4216\"><strong data-start=\"4203\" data-end=\"4214\">Answer:<\/strong><\/p>\n<ul data-start=\"4217\" data-end=\"4349\">\n<li data-start=\"4217\" data-end=\"4270\">\n<p data-start=\"4219\" data-end=\"4270\">Primary Key uniquely identifies a row in a table.<\/p>\n<\/li>\n<li data-start=\"4271\" data-end=\"4349\">\n<p data-start=\"4273\" data-end=\"4349\">Foreign Key links two tables and refers to the primary key in another table.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4356\" data-end=\"4412\">17. <strong data-start=\"4364\" data-end=\"4410\">What are the measures of central tendency?<\/strong><\/h3>\n<p data-start=\"4413\" data-end=\"4482\"><strong data-start=\"4469\" data-end=\"4480\">Answer:<\/strong><\/p>\n<ul data-start=\"4483\" data-end=\"4567\">\n<li data-start=\"4483\" data-end=\"4504\">\n<p data-start=\"4485\" data-end=\"4504\"><strong data-start=\"4485\" data-end=\"4493\">Mean<\/strong>: Average<\/p>\n<\/li>\n<li data-start=\"4505\" data-end=\"4533\">\n<p data-start=\"4507\" data-end=\"4533\"><strong data-start=\"4507\" data-end=\"4517\">Median<\/strong>: Middle value<\/p>\n<\/li>\n<li data-start=\"4534\" data-end=\"4567\">\n<p data-start=\"4536\" data-end=\"4567\"><strong data-start=\"4536\" data-end=\"4544\">Mode<\/strong>: Most frequent value<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4574\" data-end=\"4615\">18. <strong data-start=\"4582\" data-end=\"4613\">What is standard deviation?<\/strong><\/h3>\n<p data-start=\"4616\" data-end=\"4752\"><strong data-start=\"4665\" data-end=\"4676\">Answer:<\/strong><br data-start=\"4676\" data-end=\"4679\" \/>Standard deviation measures how spread out the numbers are from the mean.<\/p>\n<h3 data-start=\"4759\" data-end=\"4806\">19. <strong data-start=\"4767\" data-end=\"4804\">What is correlation vs causation?<\/strong><\/h3>\n<p data-start=\"4807\" data-end=\"4820\"><strong data-start=\"4807\" data-end=\"4818\">Answer:<\/strong><\/p>\n<ul data-start=\"4821\" data-end=\"4929\">\n<li data-start=\"4821\" data-end=\"4874\">\n<p data-start=\"4823\" data-end=\"4874\">Correlation: A relationship between two variables<\/p>\n<\/li>\n<li data-start=\"4875\" data-end=\"4929\">\n<p data-start=\"4877\" data-end=\"4929\">Causation: One variable directly affects the other<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4936\" data-end=\"4990\">20. <strong data-start=\"4944\" data-end=\"4988\">Explain outliers and how to detect them.<\/strong><\/h3>\n<p data-start=\"4991\" data-end=\"5164\"><strong data-start=\"5044\" data-end=\"5055\">Answer:<\/strong><br data-start=\"5055\" data-end=\"5058\" \/>Outliers are data points far from other observations.<br data-start=\"5111\" data-end=\"5114\" \/>Detection methods: Boxplots, Z-scores, IQR method.<\/p>\n<h3 data-start=\"5171\" data-end=\"5215\">21. <strong data-start=\"5179\" data-end=\"5213\">What are data types in Python?<\/strong><\/h3>\n<p data-start=\"5216\" data-end=\"5270\"><strong data-start=\"5216\" data-end=\"5227\">Answer:<\/strong><br data-start=\"5227\" data-end=\"5230\" \/>int, float, str, list, tuple, dict, bool<\/p>\n<h3 data-start=\"5277\" data-end=\"5343\">22. <strong data-start=\"5285\" data-end=\"5341\">What libraries are used for data analysis in Python?<\/strong><\/h3>\n<p data-start=\"5344\" data-end=\"5406\"><strong data-start=\"5344\" data-end=\"5355\">Answer:<\/strong><br data-start=\"5355\" data-end=\"5358\" \/>Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn<\/p>\n<h3 data-start=\"5413\" data-end=\"5477\">23. <strong data-start=\"5421\" data-end=\"5475\">How do you read a CSV file in Python using Pandas?<\/strong><\/h3>\n<p data-start=\"5478\" data-end=\"5491\"><strong data-start=\"5478\" data-end=\"5489\">Answer:<\/strong><\/p>\n<div class=\"contain-inline-size rounded-2xl relative bg-token-sidebar-surface-primary\">\n<div class=\"overflow-y-auto p-4\" dir=\"ltr\"><code class=\"\" data-line=\"\">&lt;span class=&quot;hljs-keyword&quot;&gt;import&lt;\/span&gt; pandas &lt;span class=&quot;hljs-keyword&quot;&gt;as&lt;\/span&gt; pd<br \/>\ndf = pd.read_csv(&lt;span class=&quot;hljs-string&quot;&gt;&#039;file.csv&#039;&lt;\/span&gt;)<br \/>\n<\/code><\/div>\n<\/div>\n<h3 data-start=\"5563\" data-end=\"5607\">24. <strong data-start=\"5571\" data-end=\"5605\">What is a DataFrame in Pandas?<\/strong><\/h3>\n<p data-start=\"5608\" data-end=\"5760\"><strong data-start=\"5651\" data-end=\"5662\">Answer:<\/strong><br data-start=\"5662\" data-end=\"5665\" \/>A DataFrame is a 2D labeled data structure with rows and columns in Pandas, similar to a table.<\/p>\n<h3 data-start=\"5767\" data-end=\"5819\">25. <strong data-start=\"5775\" data-end=\"5817\">How do you filter rows in a DataFrame?<\/strong><\/h3>\n<p data-start=\"5820\" data-end=\"5833\"><strong data-start=\"5820\" data-end=\"5831\">Answer:<\/strong><\/p>\n<div class=\"contain-inline-size rounded-2xl relative bg-token-sidebar-surface-primary\">\n<div class=\"overflow-y-auto p-4\" dir=\"ltr\"><code class=\"\" data-line=\"\">df[df[&lt;span class=&quot;hljs-string&quot;&gt;&#039;column&#039;&lt;\/span&gt;] &gt; &lt;span class=&quot;hljs-number&quot;&gt;50&lt;\/span&gt;]<br \/>\n<\/code><\/div>\n<\/div>\n<h3 data-start=\"5876\" data-end=\"5933\">26. <strong data-start=\"5884\" data-end=\"5931\">How do you handle duplicate rows in Pandas?<\/strong><\/h3>\n<p data-start=\"5934\" data-end=\"5947\"><strong data-start=\"5934\" data-end=\"5945\">Answer:<\/strong><\/p>\n<div class=\"contain-inline-size rounded-2xl relative bg-token-sidebar-surface-primary\">\n<div class=\"overflow-y-auto p-4\" dir=\"ltr\"><code class=\"\" data-line=\"\">df.drop_duplicates(inplace=&lt;span class=&quot;hljs-literal&quot;&gt;True&lt;\/span&gt;)<br \/>\n<\/code><\/div>\n<\/div>\n<h3 data-start=\"6001\" data-end=\"6042\">27. <strong data-start=\"6009\" data-end=\"6040\">What is data visualization?<\/strong><\/h3>\n<p data-start=\"6043\" data-end=\"6221\"><strong data-start=\"6099\" data-end=\"6110\">Answer:<\/strong><br data-start=\"6110\" data-end=\"6113\" \/>Data visualization is presenting data in visual form (charts, graphs) to make insights easier to understand.<\/p>\n<h3 data-start=\"6228\" data-end=\"6292\">28. <strong data-start=\"6236\" data-end=\"6290\">What are common charts used in data visualization?<\/strong><\/h3>\n<p data-start=\"6293\" data-end=\"6368\"><strong data-start=\"6293\" data-end=\"6304\">Answer:<\/strong><br data-start=\"6304\" data-end=\"6307\" \/>Bar chart, Line chart, Pie chart, Histogram, Boxplot, Heatmap<\/p>\n<h3 data-start=\"6375\" data-end=\"6429\">29. <strong data-start=\"6383\" data-end=\"6427\">Difference between Tableau and Power BI?<\/strong><\/h3>\n<p data-start=\"6430\" data-end=\"6443\"><strong data-start=\"6430\" data-end=\"6441\">Answer:<\/strong><\/p>\n<ul data-start=\"6444\" data-end=\"6578\">\n<li data-start=\"6444\" data-end=\"6502\">\n<p data-start=\"6446\" data-end=\"6502\">Tableau is known for better visualization flexibility.<\/p>\n<\/li>\n<li data-start=\"6503\" data-end=\"6578\">\n<p data-start=\"6505\" data-end=\"6578\">Power BI is more cost-effective and integrates well with Microsoft tools.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"6585\" data-end=\"6619\">30. <strong data-start=\"6593\" data-end=\"6617\">What is a dashboard?<\/strong><\/h3>\n<p data-start=\"6620\" data-end=\"6753\"><strong data-start=\"6620\" data-end=\"6631\">Answer:<\/strong><br data-start=\"6631\" data-end=\"6634\" \/>A dashboard is a visual interface that displays key performance indicators (KPIs) and insights using charts and tables.<\/p>\n<h3 data-start=\"6760\" data-end=\"6816\">31. <strong data-start=\"6768\" data-end=\"6814\">How do you handle large datasets in Excel?<\/strong><\/h3>\n<p data-start=\"6817\" data-end=\"6917\"><strong data-start=\"6817\" data-end=\"6828\">Answer:<\/strong><br data-start=\"6828\" data-end=\"6831\" \/>Use filters, pivot tables, break data into manageable chunks, avoid volatile formulas.<\/p>\n<h3 data-start=\"6924\" data-end=\"6960\">32. <strong data-start=\"6932\" data-end=\"6958\">What are Pivot Tables?<\/strong><\/h3>\n<p data-start=\"6961\" data-end=\"7115\"><strong data-start=\"6961\" data-end=\"7011\">(interview questions for data analyst fresher)<\/strong><br data-start=\"7011\" data-end=\"7014\" \/><strong data-start=\"7014\" data-end=\"7025\">Answer:<\/strong><br data-start=\"7025\" data-end=\"7028\" \/>Pivot tables summarize large datasets by grouping and aggregating data easily in Excel.<\/p>\n<h3 data-start=\"7122\" data-end=\"7167\">33. <strong data-start=\"7130\" data-end=\"7165\">Explain histogram vs bar chart.<\/strong><\/h3>\n<p data-start=\"7168\" data-end=\"7181\"><strong data-start=\"7168\" data-end=\"7179\">Answer:<\/strong><\/p>\n<ul data-start=\"7182\" data-end=\"7250\">\n<li data-start=\"7182\" data-end=\"7216\">\n<p data-start=\"7184\" data-end=\"7216\">Histogram: For continuous data<\/p>\n<\/li>\n<li data-start=\"7217\" data-end=\"7250\">\n<p data-start=\"7219\" data-end=\"7250\">Bar chart: For categorical data<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"7257\" data-end=\"7318\">34. <strong data-start=\"7265\" data-end=\"7316\">How would you approach a data analysis project?<\/strong><\/h3>\n<p data-start=\"7319\" data-end=\"7332\"><strong data-start=\"7319\" data-end=\"7330\">Answer:<\/strong><\/p>\n<ol data-start=\"7333\" data-end=\"7451\">\n<li data-start=\"7333\" data-end=\"7365\">\n<p data-start=\"7336\" data-end=\"7365\">Understand business problem<\/p>\n<\/li>\n<li data-start=\"7366\" data-end=\"7383\">\n<p data-start=\"7369\" data-end=\"7383\">Collect data<\/p>\n<\/li>\n<li data-start=\"7384\" data-end=\"7411\">\n<p data-start=\"7387\" data-end=\"7411\">Clean and explore data<\/p>\n<\/li>\n<li data-start=\"7412\" data-end=\"7431\">\n<p data-start=\"7415\" data-end=\"7431\">Apply analysis<\/p>\n<\/li>\n<li data-start=\"7432\" data-end=\"7451\">\n<p data-start=\"7435\" data-end=\"7451\">Present insights<\/p>\n<\/li>\n<\/ol>\n<h3 data-start=\"7458\" data-end=\"7492\">35. <strong data-start=\"7466\" data-end=\"7490\">What is A\/B Testing?<\/strong><\/h3>\n<p data-start=\"7493\" data-end=\"7627\"><strong data-start=\"7493\" data-end=\"7504\">Answer:<\/strong><br data-start=\"7504\" data-end=\"7507\" \/>A\/B testing compares two versions of a variable (A vs B) to determine which one performs better using statistical tests.<\/p>\n<h3 data-start=\"7634\" data-end=\"7677\">36. <strong data-start=\"7642\" data-end=\"7675\">What is time-series analysis?<\/strong><\/h3>\n<p data-start=\"7678\" data-end=\"7792\"><strong data-start=\"7678\" data-end=\"7689\">Answer:<\/strong><br data-start=\"7689\" data-end=\"7692\" \/>Analyzing data over time to identify trends, seasonality, and forecasts (e.g., stock prices, sales).<\/p>\n<h3 data-start=\"7799\" data-end=\"7839\">37. <strong data-start=\"7807\" data-end=\"7837\">What is linear regression?<\/strong><\/h3>\n<p data-start=\"7840\" data-end=\"8017\"><strong data-start=\"7840\" data-end=\"7886\">(data analyst fresher interview questions)<\/strong><br data-start=\"7886\" data-end=\"7889\" \/><strong data-start=\"7889\" data-end=\"7900\">Answer:<\/strong><br data-start=\"7900\" data-end=\"7903\" \/>A statistical method to model the relationship between a dependent variable and one or more independent variables.<\/p>\n<h3 data-start=\"8024\" data-end=\"8078\">38. <strong data-start=\"8032\" data-end=\"8076\">What is overfitting in machine learning?<\/strong><\/h3>\n<p data-start=\"8079\" data-end=\"8206\"><strong data-start=\"8079\" data-end=\"8090\">Answer:<\/strong><br data-start=\"8090\" data-end=\"8093\" \/>Overfitting happens when a model performs well on training data but poorly on unseen data due to high complexity.<\/p>\n<h3 data-start=\"8213\" data-end=\"8264\">39. <strong data-start=\"8221\" data-end=\"8262\">Explain classification vs regression.<\/strong><\/h3>\n<p data-start=\"8265\" data-end=\"8278\"><strong data-start=\"8265\" data-end=\"8276\">Answer:<\/strong><\/p>\n<ul data-start=\"8279\" data-end=\"8391\">\n<li data-start=\"8279\" data-end=\"8337\">\n<p data-start=\"8281\" data-end=\"8337\">Classification predicts categories (e.g., spam or not)<\/p>\n<\/li>\n<li data-start=\"8338\" data-end=\"8391\">\n<p data-start=\"8340\" data-end=\"8391\">Regression predicts continuous values (e.g., price)<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"8398\" data-end=\"8462\">40. <strong data-start=\"8406\" data-end=\"8460\">What makes you a good fit for a data analyst role?<\/strong><\/h3>\n<p data-start=\"8463\" data-end=\"8699\"><strong data-start=\"8519\" data-end=\"8530\">Answer:<\/strong><br data-start=\"8530\" data-end=\"8533\" \/>Highlight your problem-solving mindset, analytical skills, technical proficiency (Excel, SQL, Python), eagerness to learn, and passion for turning data into insights.<\/p>\n<h2 data-start=\"350\" data-end=\"417\">\u2705 Final Thoughts on Interview Questions for Data Analyst Fresher<\/h2>\n<p data-start=\"229\" data-end=\"663\">If you&#8217;re a beginner gearing up for your first job, these <strong data-start=\"287\" data-end=\"335\">interview questions for data analyst fresher<\/strong> offer a great foundation. But to truly stand out, it&#8217;s important to build your skills with hands-on experience. Enrolling in <a href=\"https:\/\/www.kaashivinfotech.com\/data-analysis-course-in-chennai\/\"><strong data-start=\"461\" data-end=\"486\">data analysis courses<\/strong><\/a> can help you strengthen your understanding of tools like Excel, SQL, Python, Tableau, and Power BI \u2014 all of which are commonly tested in <strong data-start=\"624\" data-end=\"662\">data analytics interview questions<\/strong>.<\/p>\n<p data-start=\"3870\" data-end=\"4020\">Whether you&#8217;re heading into your first job or an internship interview, these <strong data-start=\"3947\" data-end=\"3995\">interview questions for data analyst fresher<\/strong> will help you stand out.<\/p>\n","protected":false},"excerpt":{"rendered":"If you&#8217;re preparing for interview questions for data analyst fresher, you&#8217;re in the right place. This guide is&hellip;","protected":false},"author":3,"featured_media":4007,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_singular_sidebar":"","csco_page_header_type":"","csco_page_load_nextpost":"","footnotes":""},"categories":[724],"tags":[2705,2709,2704,2703,2707,2702,2708,2706],"class_list":["post-3951","post","type-post","status-publish","format-standard","has-post-thumbnail","category-interview-questions","tag-data-analysis-questions-and-answers-pdf","tag-data-analysis-questions-examples","tag-data-analyst-interview-questions-for-freshers-pdf","tag-data-analyst-technical-interview-questions-and-answers","tag-entry-level-data-analyst-interview-questions","tag-interview-questions-for-data-analyst-fresher-with-answers","tag-python-data-analyst-interview-questions-and-answers-pdf","tag-python-interview-questions-for-data-analyst-fresher","cs-entry"],"_links":{"self":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/3951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/comments?post=3951"}],"version-history":[{"count":10,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/3951\/revisions"}],"predecessor-version":[{"id":8939,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/3951\/revisions\/8939"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/media\/4007"}],"wp:attachment":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/media?parent=3951"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/categories?post=3951"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/tags?post=3951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}