What SQL Is Applied for in Data Analytics:
1. Accessing Data
Example: "Display all 3-month sales."

2. Filtering and Sorting
You can filter rows, sort data, or find certain values using SQL.
Example: "Display New York customers who spent over $500."

3. Aggregating Data

4. Joining Tables
SQL enables you to merge information from different tables using JOINs.
Example: "Merge customer data with their orders and payment records."
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Why Data Analytics Is Ncessary?

Data analytics is no longer a choice—it's an essential need for today's organizations. Here's why:
✅ 1. Informed Decision-Making
Data analytics offers factual proof, cutting uncertainty and enhancing results.
✅ 2. Understanding Customer Needs
Markets are customer-led.
Analytics enables understanding behaviors, preferences, and feedback to deliver personalized experiences and improved service.
✅ 3. Gaining Competitive Advantage
Businesses that use data perform better than those that don't.
Analytics anticipates emerging trends, market opportunities, and unmet needs more quickly than rivals.
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