sql-course.html

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title: "SQL for Data Science"
permalink: /courses/sql/
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    <h1 style="color: #4CAF50;">🧮 SQL for Data Science</h1>
    <p style="font-size: 1.1em; color: #ccc;">
      Learn how to query, analyze, and manipulate data using Structured Query Language (SQL). This course covers everything from foundational SELECT statements to analytical functions used in data science.
    </p>

    <h2 style="color:#00BFFF;">📘 What You'll Learn</h2>
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      <li>Basic SQL syntax and SELECT queries</li>
      <li>Filtering, sorting, grouping, and joins</li>
      <li>Subqueries, CTEs, and window functions</li>
      <li>Using SQL for exploratory data analysis (EDA)</li>
      <li>SQL case studies and datasets</li>
    </ul>

    <h2 style="color:#00BFFF;">📂 Course Format</h2>
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      <li>💻 Hands-on SQL notebooks</li>
      <li>📊 Practice queries on public datasets</li>
      <li>📝 Final project: SQL reporting dashboard</li>
    </ul>

    <h2 style="color:#00BFFF;">🛠️ Tools You'll Use</h2>
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      <li>PostgreSQL or MySQL (browser-based or desktop)</li>
      <li>SQL IDEs: DB Fiddle, DBeaver, PgAdmin</li>
    </ul>

    <h2 style="color:#00BFFF;">🎁 Bonus Materials</h2>
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      <li>SQL syntax cheat sheet</li>
      <li>Top 50 SQL interview questions</li>
    </ul>

    <a href="/toolkits/" style="display: inline-block; margin-top: 30px; background-color: #4CAF50; color: white; padding: 12px 24px; border-radius: 6px; text-decoration: none;">Go to Toolkits →</a>

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