Data Science & EDA: Global Conflict Project from Scratch

About this course

Welcome to "Data Science & EDA: Global Conflict Project from Scratch"Master Data Science Skills, Analyze Global Conflicts, cluster & visualize real-world crisis data with Python & ChatGPTThis course empowers you to analyze real-world conflict data, uncover hidden patterns, and create impactful visual stories that influence peacebuilding and policy decisions. Whether you're a beginner or an experienced analyst, you'll gain practical skills with hands-on projects using industry-standard tools.In this course, you will dive deep into Exploratory Data Analysis (EDA) focused on complex global conflict datasets. You’ll learn how to clean, explore, visualize, and interpret data using Python, Pandas, ChatGPT and key statistical methods to uncover trends and insights crucial for understanding humanitarian crises.By the end of the course, you will confidently perform EDA on messy real-world data, create interactive visualizations, apply clustering techniques, and build portfolio-ready projects that combine data science with social impact.What You Will Learn:This course takes you step-by-step through a hands-on EDA process using conflict datasets, covering:Course introduction and dataset loadingUnderstanding variables and data characteristicsHandling missing values, renaming, and ensuring consistencyDistribution and trend analysis over time and regionsVisualizing data correlations and regional death counts with bar and bubble chartsIdentifying major conflict events and temporal death trendsApplying clustering using Elbow Method and Silhouette ScoresAdvanced interactive visualizations with Plotly, including animated tr

Course objectives

• to enable students to analyze and interpret real-world conflict data
• to help students build portfolio-ready projects that highlight social impact