Description:

SQL queries for data analytics are used to extract insights from databases. Key operations include SELECT, JOIN, GROUP BY, HAVING, and ORDER BY for filtering, combining, and summarizing data. Common tasks involve calculating averages, totals, and percentages, as well as identifying trends, patterns, and anomalies in datasets.

Key Highlights:

• Data Filtering: Use WHERE to filter data based on conditions.
• Aggregation: Apply GROUP BY with functions like SUM(), AVG(), COUNT() for summarization
• Joining Tables: Use INNER JOIN, LEFT JOIN, etc., to combine data from multiple tables.
• Sorting: Use ORDER BY to sort query results in ascending or descending order.
• Subqueries: Nest queries within SELECT, FROM, or WHERE for complex data retrieval.

What you will learn:

• Basic SQL Syntax: Learn to write and structure simple SQL queries for data extraction.
• Data Aggregation: Master using GROUP BY, COUNT(), SUM(), AVG() to summarize data.
• able Joins: Understand how to combine data from multiple tables using JOIN operations.
• Data Filtering: Learn to filter results with WHERE, AND, OR, and complex conditions.
• Advanced Querying: Get familiar with subqueries, nested queries, and using HAVING for post-aggregation filters.

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