📌 Topics Covered:

• The Big Three: Mastering SELECT (specifying columns), FROM (choosing the table), and DISTINCT (removing duplicate rows from your results).
• Advanced Filtering (WHERE):
  • IN: Selecting values that match any item in a specified list.
  • BETWEEN: Filtering for data within a specific numerical or date range.
  • LIKE: Using “wildcards” (%) to search for patterns (e.g., finding all product names starting with “Denim”).
• Result Control: Using ORDER BY to sort data (ASC/DESC) and LIMIT to specify the exact number of rows to return.
• Data Presentation:
  • Alias (AS): Renaming columns or tables temporarily for better readability.
  • Calculated Columns: Performing math directly in the query (e.g., Price * Quantity).
  • Round: Limiting the decimal places of numerical outputs for cleaner reporting.

📝 Class Summary: This module focuses on the “Querying Essentials,” teaching students how to write clean, efficient code to extract specific subsets of data and present them in a professional, human-readable format.

✅ What You Will Learn:

• How to eliminate noise from your analysis by using DISTINCT to see only unique categories.
• The methodology for Pattern Matching with LIKE, essential for cleaning messy text data.
• How to create Calculated Columns to generate real-time KPIs without modifying the underlying database.
• Techniques for Sorting and Capping results to identify top-performing products or recent transactions.

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Thanks and Good Luck