Introduction to Python for Data Analysis and Visualization - Session1

Session 1: Introduction to Python for Data Analysis and Visualization

This session introduces participants to Python as a powerful tool for data analysis. We will explore essential Python libraries such as pandas, matplotlib, and seaborn, focusing on how to load, clean, and visualize real-world datasets. Participants will gain a clear understanding of how to move from raw data to meaningful visual insights that support data-driven decision-making.

Key learning outcomes
• Understand Python’s role in data analysis
• Learn the basics of pandas for data manipulation
• Create effective and informative visualizations using matplotlib and seaborn
• Prepare datasets for use in machine learning

Level and prerequisites
This session is designed for participants with basic familiarity with Python who wish to learn how to apply it in data analysis. Participants should be comfortable running simple Python code and working with data structures. Some prior experience with data (e.g. Excel or databases) will also be helpful.

Software and setup
Participants will work in an online Jupyter Notebook environment (no local installation required). We will use Google Colab, which runs directly in a web browser. Participants will only need a computer with internet access.

Instructor: Muniba Talha

Date: Wednesday 4 February 17-20
Place: Online. Direct link will be sent on the day of the webinar

Sign up for session 2 here:Date: Wednesday 25 February 17-20