# A Beginner's Guide to Working with Astronomical Data

## TL;DR

This paper provides an accessible introduction for beginners on how to work with astronomical data, including images, spectra, and catalogs, using software tools and Python, suitable for undergraduates and advanced high school students.

## Contribution

It offers a beginner-friendly overview of astronomical data analysis techniques and tools, combining practical software guidance with foundational concepts.

## Key findings

- Introduces key concepts and tools for astronomical data analysis.
- Demonstrates usage of DS9, TOPCAT, and Python for data handling.
- Accessible to students with minimal prior experience.

## Abstract

This elementary review covers the basics of working with astronomical data, notably with images, spectra and higher-level (catalog) data. The basic concepts and tools are presented using both application software (DS9 and TOPCAT) and Python. The level of presentation is suitable for undergraduate students, but should also be accessible to advanced high school students.