Data Analysis with Bash: Analyzing University Tuition and Rankings

How do university tuition fees relate to national and global rankings? Instead of heavy spreadsheets or complex programming languages, you can uncover these insights directly from your terminal using powerful command-line tools. This course teaches you how to ingest, clean, and analyze educational datasets using the speed and efficiency of Bash. You will transform raw data into clear, actionable insights while mastering foundational data science workflows directly in the terminal. What you'll learn: - Understand foundational data analysis concepts, key terminology, and correlation basics - Clean and format messy CSV datasets using Bash utilities like cut, awk, and sed - Calculate statistical correlation trends between tuition costs and university rankings - Prepare structured data for command-line and web-based visualization tools - Apply modern pipeline practices to automate repetitive data-cleaning tasks The course starts with essential definitions of data correlation and command-line basics, then guides you step-by-step through importing real datasets, writing analysis scripts, and generating data visualizations. It is designed for beginners who want to build practical command-line skills without any prior programming experience. Start analyzing real-world data today using nothing but your terminal.