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This workshop is designed for individuals who want to start working with data using Python. It introduces Python as a powerful and widely used tool for data analysis and explains why it has become one of the leading languages in the data science field. Participants learn how to use Google Colab, a free browser-based platform that only requires a Google account, making it easy to start coding without installing anything locally. The session covers essential topics including Python basics, loading and cleaning datasets using pandas, and performing basic exploratory data analysis. By the end of the workshop, participants will gain a foundational understanding of how Python can be used to begin analyzing and visualizing data. All tools demonstrated in this workshop work on Windows, macOS, and Linux systems. Helpful resources for getting started: Download Python https://www.python.org/downloads/ Python Installation Guide https://docs.python.org/3/using/index... Google Colab (no installation required) https://colab.research.google.com/ Anaconda Distribution (Python + data science libraries) Download: https://www.anaconda.com/download Installation Guide: https://docs.anaconda.com/anaconda/in... Workshop Format This workshop was offered in a hybrid format, both in person at the DataSpace Lab (ALK 452) and online through Zoom. For those attending in person, seating in the lab operates on a first-come, first-served basis. Time Stamps: 0:00 Introduction & Agenda 2:29 Why Python & What can we do with it 6:12 Tools & Frameworks 11:11 Getting Started with Google Colab 14:30 Baisc datatypes & variables 24:05 Arithmetics 28:53 Lists, Tuples & Dictionary 47:20 Loopings 55:05 Functions 1:00:10 Importing Libraries 1:05:50 Data Loading & Exploring