elvisthedataevang/data-cleaning-workshop

This hands-on workshop is organized in collaboration with the Statistics and Actuarial Science Society of the University of Ghana # Workshop Overview: Getting Started with Data Cleaning & Manipulation in Python This hands-on workshop is organized in collaboration with the Statistics and Actuarial Science Society of the University of Ghana. It is designed to introduce students to the fundamentals of data cleaning, exploration, and manipulation using Python—an essential skill in today’s data-driven world. ## Objectives 🎯: Introduce participants to the Jupyter Notebook environment Provide an overview of a realistic student survey dataset Demonstrate key data cleaning techniques using pandas Teach how to handle missing data, fix data inconsistencies, rename and transform columns, and derive new features Empower participants with basic visualization to explore trends in the data ## Topics Covered 🧰: Introduction to Python and Jupyter Notebooks Loading and inspecting CSV datasets Common issues in raw data (e.g., nulls, duplicates, typos) Basic data transformation and summary statistics Exploratory charts using matplotlib and seaborn