Data Analytics Classes in Pune SQL (Structured Query Language) is one of the essential tools for data analytics. It's applied to interact with relational databases — which are popular locations where data gets stored — and supports analysts to retrieve, manipulate, and analyze data.



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."



5. Data Cleaning and Transformation

Alter data with SQL functions (e.g., date formatting, text modifications).

Example: "Convert all customer names to title case."



6. Creating Reports

Utilize SQL to get data ready for dashboards or reporting tools such as Tableau,Data Analytics Course in Pune Power BI, or Excel.

Common SQL Commands in Analytics:

SELECT: pull data



WHERE: filter rows

GROUP BY: aggregate data

JOIN: join tables

ORDER BY: sort data

LIMIT: limit number of results



CASE: construct conditional logic (such as IF statements)

Why SQL is Important in Analytics:

It's the go-to language for operating most databases.

It enables quick, accurate data retrieval from big data sets.



Summary

SQL is utilized in data analytics to query, clean, reshape, and analyze the stored data within databases.

It's a requirement for any professional handling Data Analytics Training in Punestructured data and a valuable skill for converting raw data into insights.

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