SQL VS PYTHON?? WHEN TO USE WHICH IN DATA ANALYTICS?

Data Analytics Dilemma: SQL vs Python? 🤔

As a data professional, often face this - to choose between SQL and Python for data analysis.
But when to use which? 🤔

🚀 SQL:

- Ideal for querying and manipulating large datasets
- Perfect for data modeling and database management
- Use for data extraction, transformation, and loading (ETL)

🚀 Python:

- Great for data visualization, machine learning, and statistical analysis
- Ideal for data scraping, cleaning, and preprocessing
- Use for data science, predictive modeling, and data storytelling

✅ Remember, it's not a competition - both SQL and Python are essential tools in your data analytics toolkit!

👉 Use SQL for data foundations and Python for data insights. Together they work best !!

Aditi Gupta
Analytics Mentor

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