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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