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Data analytics involves using various tools to process, analyze, and interpret data. Common tools include:

Excel – Widely used for basic data analysis and visualization.

Python – Offers powerful libraries like Pandas, NumPy, and Matplotlib for advanced analysis.

R – Popular for statistical analysis and data visualization.

SQL – Essential for querying and managing databases.

Tableau – A visualization tool for creating interactive dashboards.

Power BI – Business analytics tool by Microsoft for data visualization and reporting.

Apache Spark – Used for big data processing and analysis.

These tools help businesses make data-driven decisions.

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Ruhi Parveen

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