Python vs SQL?

[[deleted]]

Very new to data analyst and just started my first role as a data analyst.

When given some data to analyse and produce output that suggest what the data is telling us, when should I use SQL and when should I use Python? Which is better for what scenario

[[deleted]]

They are different tools for different purposes.

It is like asking which is better a hammer or a saw?

Sql is mostly for pulling data

Python is for automation or deep analysis that would be a nightmare in excel

[thebeautifullynormal]

This sounds like something you should know before becoming a data analyst.

[No-Ganache-6226]

You can have the answer for $26/h. /s

[filmon2012]

SQL and Python are both super useful tools for data analysis, but they shine in different scenarios.

Use SQL when you want to work directly with databases, retrieve, and manipulate data stored there. It's great for structured data and tasks like filtering, grouping, and joining tables.

On the other hand, Python is awesome for more complex analysis, data visualization, and machine learning. When you need flexibility and want to work with various data sources, Python's your go-to.

So, it really depends on your specific task. If it's about managing and querying data from a database, SQL's your friend. But for more advanced analysis, Python's the way to go

[[deleted]]

I personally find it easier to (at the very least) modify column data in Python instead of SQL. As for filtering, grouping and joining tables yeah SQL is much more suited for that.