Data Analysis with Bash: Australian Cities Crime Statistics

Large public datasets can be slow and cumbersome to open in traditional spreadsheet software. Mastering the command line allows you to quickly parse, filter, and extract meaningful patterns from raw data files right from your terminal. This course teaches you how to handle real-world data processing challenges using standard text-processing utilities. You will transition from running basic terminal commands to writing efficient pipelines that clean and summarize geographic crime statistics. By learning to combine core utilities, you will be able to transform messy text files into structured insights without relying on heavy external software. What you'll learn: - Understand foundational terminal concepts, file structures, and command-line navigation - Filter and clean raw CSV datasets using grep and regular expressions - Manipulate columns and perform inline text substitutions with sed - Perform mathematical calculations and aggregate regional crime data using awk - Build structured command pipelines to sort, group, and export statistical summaries - Apply modern command-line best practices for handling encoding issues and missing values This course begins with essential terminal concepts and basic syntax before guiding you through hands-on text-processing workflows. You will progress from simple file inspections to constructing multi-stage analytical pipelines that reveal trends in regional safety data. This course is designed for beginners, data enthusiasts, and aspiring analysts who want to learn text-processing tools from scratch. No prior programming or command-line experience is required. Start processing data faster and unlock the power of the command line today.