Which one should I study: Data Science or Data Analytics?

<p><strong>Which one should I study: Data Science or Data Analytics? - Datamites</strong></p><p><strong>What each field is</strong></p><ol><li><strong>Data Analytics: </strong>focus on finding patterns, creating reports, dashboards, and helping business decisions using data.&nbsp;</li><li><strong>Data Science: </strong>deeper work including predicting future trends, machine learning, AI models and solving complex problems.&nbsp;<br>Digital India</li></ol><p>Datamites offers courses in both, helping beginners learn tools like Excel, SQL, Python.</p><p><strong>Skills needed</strong></p><ul><li><strong>Data Analytics:</strong> Excel, SQL, Power BI/Tableau, basics of stats.&nbsp;</li><li><strong>Data Science:</strong> Python &amp; R programming, machine learning, advanced statistics, big data.&nbsp;</li></ul><p><strong>Job demand &amp; growth</strong></p><ol><li>Many companies need Data Analysts because they turn data into clear business decisions.&nbsp;</li><li>Data Science is still growing, especially where AI and machine learning are used. But roles now expect strong technical skills.&nbsp;</li></ol><p><strong>Salary (India 2025-2026)</strong></p><p><strong>Data Analyst:</strong> ₹3–12 LPA depending on experience.&nbsp;<br><strong>Data Scientist: </strong>₹5–20 LPA+ (higher with strong ML skills).&nbsp;</p><p>Data Science tends to pay more on average, but it also requires more complex skills.</p><p><strong>Which should you study? </strong></p><p><strong>Choose Data Analytics if:</strong></p><ol><li>You want faster entry into jobs</li><li>You like business insights, reporting, dashboards</li><li>You want to build skills step-by-step</li></ol><p><strong>Choose Data Science if:</strong></p><ul><li>You enjoy coding, math, AI/ML</li><li>You want higher salary potential</li><li>You're ready for deeper technical challenges</li></ul><p><strong>A smart path is:</strong> start with Data Analytics and then move to Data Science as you learn more professionals grow this way.</p>

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<p>Choose Data Science only if you love heavy math, coding, and building complex software. Choose Data Analytics if you prefer looking at numbers to find patterns and help companies make decisions right now. First, know your interest.</p>

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