{"id":81157,"date":"2025-06-10T15:01:21","date_gmt":"2025-06-10T09:31:21","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=81157"},"modified":"2026-09-08T17:46:57","modified_gmt":"2026-09-08T12:16:57","slug":"data-science-kya-hai","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/data-science-kya-hai\/","title":{"rendered":"Data Science Kya Hai? 2026 Mein Complete Hindi Guide"},"content":{"rendered":"\n

\u0905\u0917\u0930 \u0906\u092a \u091f\u0947\u0915\u094d\u0928\u094b\u0932\u0949\u091c\u0940 \u092e\u0947\u0902 \u0915\u0930\u093f\u092f\u0930 \u092c\u0928\u093e\u0928\u0947 \u0915\u0940 \u0938\u094b\u091a \u0930\u0939\u0947 \u0939\u0948\u0902 \u0914\u0930 \u0906\u092a\u0928\u0947 “Data Science” \u0915\u093e \u0928\u093e\u092e \u0938\u0941\u0928\u093e \u0939\u0948, \u0932\u0947\u0915\u093f\u0928 \u0938\u092e\u091d \u0928\u0939\u0940\u0902 \u0906 \u0930\u0939\u093e \u0915\u093f \u092f\u0947 \u0939\u094b\u0924\u093e \u0915\u094d\u092f\u093e \u0939\u0948, \u0915\u0948\u0938\u0947 \u0938\u0940\u0916\u093e \u091c\u093e\u090f, \u0915\u093f\u0924\u0928\u093e \u0915\u092e\u093e\u0924\u0947 \u0939\u0948\u0902, \u0914\u0930 \u0907\u0938\u092e\u0947\u0902 \u0915\u094d\u092f\u093e \u0938\u094d\u0915\u094b\u092a \u0939\u0948 \u2014 \u0924\u094b \u0906\u092a \u092c\u093f\u0932\u094d\u0915\u0941\u0932 \u0938\u0939\u0940 \u091c\u0917\u0939 \u0906\u090f \u0939\u0948\u0902!<\/p>\n\n\n\n

\u0907\u0938 \u092c\u094d\u0932\u0949\u0917 \u092e\u0947\u0902 \u0939\u092e \u0938\u0930\u0932 \u092d\u093e\u0937\u093e \u092e\u0947\u0902 \u092c\u093e\u0924 \u0915\u0930\u0947\u0902\u0917\u0947 \u0915\u093f Data Science \u0915\u094d\u092f\u093e \u0939\u0948<\/strong>, \u0907\u0938\u0915\u0947 \u091f\u093e\u0907\u092a\u094d\u0938<\/strong>, \u090f\u092a\u094d\u0932\u093f\u0915\u0947\u0936\u0928<\/strong>, \u091c\u093c\u0930\u0942\u0930\u0940 \u0938\u094d\u0915\u093f\u0932\u094d\u0938<\/strong>, \u0938\u0948\u0932\u0930\u0940<\/strong>, \u0914\u0930 \u0915\u0930\u093f\u092f\u0930 \u0917\u094d\u0930\u094b\u0925<\/strong> \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902\u0964 \u091a\u0932\u093f\u090f \u0936\u0941\u0930\u0942 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902!<\/p>\n\n\n\n

TL;DR<\/strong><\/h2>\n\n\n\n

Data Science raw data ko collect, clean aur analyze karke usse business ke kaam ki insights nikalne ka field hai iske core pillars hain Statistics, Machine Learning aur Programming (Python\/R).<\/p>\n\n\n\n

India mein: <\/strong>fresher data scientist \u20b96\u201310 lakh\/\u0938\u093e\u0932 \u0938\u0947 \u0936\u0941\u0930\u0941\u0906\u0924 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902 \u0914\u0930 5+ \u0938\u093e\u0932 \u0915\u0947 experience \u092a\u0930 \u20b925 lakh+ \u0924\u0915 \u0915\u092e\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n\n\n\n

Data Science \u0915\u094d\u092f\u093e \u0939\u0948?<\/strong><\/h2>\n\n\n\n

Data Science \u090f\u0915 \u0910\u0938\u093e \u0915\u094d\u0937\u0947\u0924\u094d\u0930 \u0939\u0948 \u091c\u093f\u0938\u092e\u0947\u0902 \u0921\u0947\u091f\u093e \u0915\u094b \u0907\u0915\u091f\u094d\u0920\u093e \u0915\u0930\u0928\u093e, \u092a\u094d\u0930\u094b\u0938\u0947\u0938 \u0915\u0930\u0928\u093e, \u090f\u0928\u093e\u0932\u093e\u0907\u091c\u093c \u0915\u0930\u0928\u093e \u0914\u0930 \u0909\u0938\u0938\u0947 \u0915\u093e\u092e \u0915\u0940 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0928\u093f\u0915\u093e\u0932\u0928\u093e<\/strong> \u0936\u093e\u092e\u093f\u0932 \u0939\u094b\u0924\u093e \u0939\u0948\u0964
\u0938\u0940\u0927\u0940 \u092d\u093e\u0937\u093e \u092e\u0947\u0902 \u0915\u0939\u0947\u0902 \u0924\u094b \u2014 \u092c\u0921\u093c\u0947-\u092c\u0921\u093c\u0947 \u0921\u0947\u091f\u093e \u0915\u0947 \u092a\u0939\u093e\u0921\u093c \u0938\u0947 \u092e\u0924\u0932\u092c \u0915\u0940 \u091a\u0940\u091c\u093c\u0947\u0902 \u0928\u093f\u0915\u093e\u0932\u0928\u093e<\/strong> \u0939\u0940 Data Science \u0939\u0948\u0964<\/p>\n\n\n\n

\u0907\u0938\u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0902\u092a\u0928\u093f\u092f\u093e\u0901 \u0907\u0938 \u092c\u093e\u0924 \u0915\u093e \u092a\u0924\u093e \u0932\u0917\u093e\u0928\u0947 \u092e\u0947\u0902 \u0915\u0930\u0924\u0940 \u0939\u0948\u0902 \u0915\u093f \u0915\u0938\u094d\u091f\u092e\u0930 \u0915\u094d\u092f\u093e \u092a\u0938\u0902\u0926 \u0915\u0930\u0924\u093e \u0939\u0948, \u092e\u093e\u0930\u094d\u0915\u0947\u091f \u092e\u0947\u0902 \u0915\u094d\u092f\u093e \u091f\u094d\u0930\u0947\u0902\u0921 \u091a\u0932 \u0930\u0939\u093e \u0939\u0948, \u092f\u093e \u092c\u093f\u091c\u093c\u0928\u0947\u0938 \u092e\u0947\u0902 \u0915\u094d\u092f\u093e \u0938\u0941\u0927\u093e\u0930 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/p>\n\n\n\n

Data Science \u0915\u0947 \u092e\u0941\u0916\u094d\u092f \u0924\u0924\u094d\u0935<\/strong><\/h2>\n\n\n\n

Data Science \u090f\u0915 umbrella \u091f\u0930\u094d\u092e \u0939\u0948 \u091c\u093f\u0938\u092e\u0947\u0902 \u092f\u0947 \u092a\u094d\u0930\u092e\u0941\u0916 \u092d\u093e\u0917 \u0939\u094b\u0924\u0947 \u0939\u0948\u0902:<\/p>\n\n\n\n

    \n
  1. Statistics (\u0906\u0901\u0915\u0921\u093c\u0947)<\/strong>
    <\/strong><\/li>\n\n\n\n
  2. Machine Learning<\/strong><\/a> (\u092e\u0936\u0940\u0928 \u0938\u0947 \u0938\u0940\u0916\u0928\u093e)
    <\/strong><\/li>\n\n\n\n
  3. Data Analysis (\u0921\u0947\u091f\u093e \u0915\u093e \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923)<\/strong>
    <\/strong><\/li>\n\n\n\n
  4. Data Visualization (\u0921\u0947\u091f\u093e \u0915\u094b \u0938\u092e\u091d\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0917\u094d\u0930\u093e\u092b\/\u091a\u093e\u0930\u094d\u091f\u094d\u0938)<\/strong>
    <\/strong><\/li>\n\n\n\n
  5. Big Data (\u092c\u0939\u0941\u0924 \u092c\u0921\u093c\u093e \u0921\u0947\u091f\u093e)<\/strong>
    <\/strong><\/li>\n\n\n\n
  6. Programming (<\/strong>Python<\/strong><\/a>\/R \u091c\u0948\u0938\u0940 \u092d\u093e\u0937\u093e\u090f\u0901)
    <\/strong><\/li>\n<\/ol>\n\n\n\n

    Data Science \u0915\u0947 \u092a\u094d\u0930\u0915\u093e\u0930 (Types)<\/strong><\/h2>\n\n\n\n

    Data Science \u0915\u0947 \u0905\u0932\u0917-\u0905\u0932\u0917 \u0938\u092c-\u092b\u0940\u0932\u094d\u0921\u094d\u0938 \u0939\u0948\u0902:<\/p>\n\n\n\n

    \"types<\/figure>\n\n\n\n
    \u092a\u094d\u0930\u0915\u093e\u0930<\/strong><\/td>\u0935\u093f\u0935\u0930\u0923<\/strong><\/td><\/tr>
    Descriptive Analytics<\/strong><\/td>“\u0915\u094d\u092f\u093e \u0939\u0941\u0906?”<\/strong>\u092f\u0947 \u0921\u0947\u091f\u093e \u0926\u0947\u0916\u0915\u0930 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u092a\u0939\u0932\u0947 \u0915\u094d\u092f\u093e \u0939\u0941\u0906 \u0925\u093e, \u091c\u0948\u0938\u0947 \u0930\u093f\u092a\u094b\u0930\u094d\u091f \u0915\u093e\u0930\u094d\u0921 \u091c\u094b \u0906\u092a\u0915\u0947 \u092a\u0930\u092b\u0949\u0930\u094d\u092e\u0947\u0902\u0938 \u0915\u093e \u092a\u0942\u0930\u093e \u0939\u093f\u0938\u093e\u092c \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/td><\/tr>
    Diagnostic Analytics<\/strong><\/td>“\u0915\u094d\u092f\u094b\u0902 \u0939\u0941\u0906?”<\/strong>
    <\/strong> \u092f\u0947 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0915\u094b\u0908 \u091a\u0940\u091c\u093c \u0915\u094d\u092f\u094b\u0902 \u0939\u0941\u0908, \u091c\u0948\u0938\u0947 \u0921\u0949\u0915\u094d\u091f\u0930 \u092c\u0940\u092e\u093e\u0930\u0940 \u0915\u0940 \u0935\u091c\u0939 \u0938\u092e\u091d\u0924\u093e \u0939\u0948\u0964<\/td><\/tr>
    Predictive Analytics<\/strong><\/td>“\u0905\u092c \u0915\u094d\u092f\u093e \u0939\u094b \u0938\u0915\u0924\u093e \u0939\u0948?”<\/strong>
    <\/strong> \u0921\u0947\u091f\u093e \u0915\u094b \u0926\u0947\u0916\u0915\u0930 \u092f\u0947 \u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0940 \u0938\u0902\u092d\u093e\u0935\u0928\u093e \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u2013 \u091c\u0948\u0938\u0947 \u092e\u094c\u0938\u092e \u0915\u093e \u092a\u0942\u0930\u094d\u0935\u093e\u0928\u0941\u092e\u093e\u0928!<\/td><\/tr>
    Prescriptive Analytics<\/strong><\/td>“\u0905\u092c \u0915\u094d\u092f\u093e \u0915\u0930\u0928\u093e \u091a\u093e\u0939\u093f\u090f?”<\/strong>\u092f\u0947 \u0928\u093e \u0938\u093f\u0930\u094d\u092b \u092d\u0935\u093f\u0937\u094d\u092f \u092c\u0924\u093e\u0924\u093e \u0939\u0948, \u092c\u0932\u094d\u0915\u093f \u0938\u0932\u093e\u0939 \u092d\u0940 \u0926\u0947\u0924\u093e \u0939\u0948 \u0915\u093f \u0938\u0939\u0940 \u0915\u0926\u092e \u0915\u094d\u092f\u093e \u0939\u094b\u0917\u093e \u2013 \u091c\u0948\u0938\u0947 GPS \u091c\u094b \u0930\u093e\u0938\u094d\u0924\u093e \u092d\u0940 \u0926\u093f\u0916\u093e\u090f \u0914\u0930 \u091f\u094d\u0930\u0948\u092b\u093f\u0915 \u092d\u0940 \u092c\u0924\u093e\u090f\u0964<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Data Science \u0915\u0947 \u0932\u093f\u090f \u0915\u094d\u092f\u093e \u0938\u0940\u0916\u0928\u093e \u092a\u0921\u093c\u0947\u0917\u093e?<\/strong><\/h2>\n\n\n\n

    \u092c\u0939\u0941\u0924 \u0938\u0947 beginners \u092f\u0939\u0940 \u0938\u094b\u091a\u0915\u0930 \u0909\u0932\u091d \u091c\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f Data Science \u0938\u0940\u0916\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0938\u093e\u0925 \u0938\u092c \u0915\u0941\u091b \u0906\u0928\u093e \u091a\u093e\u0939\u093f\u090f\u0964 \u0938\u091a \u092f\u0947 \u0939\u0948 \u0915\u093f \u0907\u0938\u0947 \u090f\u0915 logical order \u092e\u0947\u0902 \u0938\u0940\u0916\u093e \u091c\u093e\u090f \u0924\u094b \u092f\u0947 \u0909\u0924\u0928\u093e \u092e\u0941\u0936\u094d\u0915\u093f\u0932 \u0928\u0939\u0940\u0902 \u0939\u0948\u0964 \u092f\u0939\u093e\u0901 \u090f\u0915 practical learning path \u0926\u0940 \u0917\u0908 \u0939\u0948:<\/p>\n\n\n\n

    1. Foundation (Math + Stats + Logic): <\/strong>Probability, Statistics \u0914\u0930 basic Linear Algebra \u2014 \u092f\u0947 \u0915\u093f\u0938\u0940 \u092d\u0940 ML model \u0915\u094b \u0938\u092e\u091d\u0928\u0947 \u0915\u0940 \u0928\u0940\u0902\u0935 \u0939\u0948\u0964<\/p>\n\n\n\n

    2. Programming (Python \u0938\u092c\u0938\u0947 \u092a\u0939\u0932\u0947): <\/strong>Python \u0938\u0947 \u0936\u0941\u0930\u0941\u0906\u0924 \u0915\u0930\u0947\u0902 \u2014 \u0907\u0938\u0915\u0940 libraries (Pandas, NumPy) data handling \u0915\u094b \u092c\u0939\u0941\u0924 \u0906\u0938\u093e\u0928 \u092c\u0928\u093e \u0926\u0947\u0924\u0940 \u0939\u0948\u0902\u0964 R \u092c\u093e\u0926 \u092e\u0947\u0902 \u0938\u0940\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0905\u0917\u0930 \u0906\u092a research\/academia \u0915\u0940 \u0924\u0930\u092b \u091c\u093e\u0928\u093e \u091a\u093e\u0939\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n\n\n\n

    3. Data Handling & SQL: <\/strong>Real-world data \u0915\u092d\u0940 \u0938\u093e\u092b-\u0938\u0941\u0925\u0930\u093e \u0928\u0939\u0940\u0902 \u0939\u094b\u0924\u093e \u2014 missing values, duplicates \u0914\u0930 errors \u0915\u094b clean \u0915\u0930\u0928\u093e \u0938\u0940\u0916\u0928\u093e \u091c\u093c\u0930\u0942\u0930\u0940 \u0939\u0948, \u0938\u093e\u0925 \u0939\u0940 SQL \u0938\u0947 databases \u0938\u0947 data \u0928\u093f\u0915\u093e\u0932\u0928\u093e\u0964<\/p>\n\n\n\n

    4. Data Visualization: <\/strong>Tableau, Power BI \u092f\u093e Python \u0915\u0940 Matplotlib\/Seaborn libraries \u2014 data \u0915\u094b \u0907\u0938 \u0924\u0930\u0939 present \u0915\u0930\u0928\u093e \u0915\u093f \u0915\u094b\u0908 \u092d\u0940 \u0917\u0948\u0930-technical \u0907\u0902\u0938\u093e\u0928 \u092d\u0940 \u0909\u0938\u0947 \u0938\u092e\u091d \u0938\u0915\u0947\u0964<\/p>\n\n\n\n

    5. Machine Learning basics: <\/strong>Regression, Classification, Clustering \u091c\u0948\u0938\u0947 core algorithms \u2014 \u0936\u0941\u0930\u0941\u0906\u0924 \u092e\u0947\u0902 \u0907\u0928\u0915\u0940 theory \u0938\u0947 \u091c\u093c\u094d\u092f\u093e\u0926\u093e \u0907\u0928\u0915\u093e use-case \u0938\u092e\u091d\u0928\u093e \u091c\u093c\u094d\u092f\u093e\u0926\u093e \u091c\u093c\u0930\u0942\u0930\u0940 \u0939\u0948\u0964<\/p>\n\n\n\n

    6. Real Projects: <\/strong>\u091c\u094b \u092d\u0940 \u0938\u0940\u0916\u093e \u0939\u0948 \u0909\u0938\u0947 \u091b\u094b\u091f\u0947-\u091b\u094b\u091f\u0947 projects \u092e\u0947\u0902 apply \u0915\u0930\u0947\u0902, \u091c\u0948\u0938\u0947 movie recommendation system \u092f\u093e sales prediction\u0964 \u092f\u0939\u0940 \u0935\u094b \u0939\u093f\u0938\u094d\u0938\u093e \u0939\u0948 \u091c\u094b \u0906\u092a\u0915\u094b \u0938\u093f\u0930\u094d\u092b “\u091c\u093e\u0928\u0928\u0947 \u0935\u093e\u0932\u0947” \u0938\u0947 “\u0915\u0930\u0928\u0947 \u0935\u093e\u0932\u0947” \u092e\u0947\u0902 \u092c\u0926\u0932\u0924\u093e \u0939\u0948\u0964<\/p>\n\n\n\n

    Core Concepts, \u0906\u0938\u093e\u0928 \u092d\u093e\u0937\u093e \u092e\u0947\u0902<\/strong><\/h2>\n\n\n\n
    Concept<\/strong><\/th>Hindi Explanation<\/strong><\/th>Example<\/strong><\/th><\/tr><\/thead>
    Data Cleaning<\/td>\u0917\u0932\u0924, missing \u092f\u093e duplicate data \u0915\u094b \u0920\u0940\u0915 \u0915\u0930\u0915\u0947 dataset \u0915\u094b \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0915\u0947 \u0932\u093e\u092f\u0915 \u092c\u0928\u093e\u0928\u093e\u0964<\/td>Excel sheet \u092e\u0947\u0902 \u0916\u093e\u0932\u0940 cells \u092d\u0930\u0928\u093e \u092f\u093e galat date format \u0920\u0940\u0915 \u0915\u0930\u0928\u093e\u0964<\/td><\/tr>
    Regression<\/td>\u0926\u094b \u092f\u093e \u0926\u094b \u0938\u0947 \u091c\u093c\u094d\u092f\u093e\u0926\u093e \u091a\u0940\u091c\u093c\u094b\u0902 \u0915\u0947 \u092c\u0940\u091a \u0915\u0947 relationship \u0938\u0947 \u090f\u0915 number predict \u0915\u0930\u0928\u093e\u0964<\/td>\u0918\u0930 \u0915\u0947 size \u0938\u0947 \u0909\u0938\u0915\u0940 price predict \u0915\u0930\u0928\u093e\u0964<\/td><\/tr>
    Classification<\/td>\u0921\u0947\u091f\u093e \u0915\u094b \u092a\u0939\u0932\u0947 \u0938\u0947 \u0924\u092f categories \u092e\u0947\u0902 \u092c\u093e\u0902\u091f\u0928\u093e\u0964<\/td>Email \u0915\u094b “Spam” \u092f\u093e “Not Spam” \u092e\u0947\u0902 classify \u0915\u0930\u0928\u093e\u0964<\/td><\/tr>
    Clustering<\/td>\u092c\u093f\u0928\u093e categories \u092c\u0924\u093e\u090f, similar \u0921\u0947\u091f\u093e \u0915\u094b \u0905\u092a\u0928\u0947-\u0906\u092a groups \u092e\u0947\u0902 \u092c\u093e\u0902\u091f\u0928\u093e\u0964<\/td>Customers \u0915\u094b \u0909\u0928\u0915\u0940 shopping habits \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 groups \u092e\u0947\u0902 \u092c\u093e\u0902\u091f\u0928\u093e\u0964<\/td><\/tr>
    Big Data<\/td>\u0907\u0924\u0928\u093e \u092c\u0921\u093c\u093e \u0914\u0930 \u0924\u0947\u091c\u093c\u0940 \u0938\u0947 \u092c\u0922\u093c\u0924\u093e \u0921\u0947\u091f\u093e \u0915\u093f \u0909\u0938\u0947 \u0938\u093e\u092e\u093e\u0928\u094d\u092f tools \u0938\u0947 handle \u0915\u0930\u0928\u093e \u092e\u0941\u0936\u094d\u0915\u093f\u0932 \u0939\u094b\u0964<\/td>\u0939\u0930 \u092e\u093f\u0928\u091f YouTube \u092a\u0930 upload \u0939\u094b\u0928\u0947 \u0935\u093e\u0932\u0947 \u0932\u093e\u0916\u094b\u0902 videos \u0915\u093e \u0921\u0947\u091f\u093e\u0964<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Data Science \u0915\u0939\u093e\u0901-\u0915\u0939\u093e\u0901 \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0939\u094b\u0924\u093e \u0939\u0948? (Applications)<\/strong><\/h2>\n\n\n\n

    Data Science \u0906\u091c \u0932\u0917\u092d\u0917 \u0939\u0930 \u0907\u0902\u0921\u0938\u094d\u091f\u094d\u0930\u0940 \u092e\u0947\u0902 \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0939\u094b \u0930\u0939\u093e \u0939\u0948:<\/p>\n\n\n\n

    \"applications<\/figure>\n\n\n\n