Apply Bash and AWK for Practical Data Analytics

By completing this course, learners will be able to apply Bash shell scripting and AWK techniques to preprocess data, analyze real-world datasets, perform aggregations, and extract meaningful insights using command-line workflows. This course is designed for aspiring and practicing data analysts who want to strengthen their data processing and analytics skills using lightweight, efficient tools. Learners will progress from foundational Bash and AWK concepts—such as sorting, case conversion, loops, and associative arrays—to advanced analytical techniques including query optimization, multi-step aggregations, and real-world case studies. Through hands-on lessons, learners will understand how to work with structured text data, explore datasets effectively, and perform analytics without relying on heavy frameworks or graphical tools. What makes this course unique is its strong emphasis on practical, command-line–driven data analytics from a data analyst’s perspective. Instead of focusing only on syntax, the course demonstrates how Bash and AWK are used together in real analytics scenarios, enabling learners to handle large datasets efficiently with minimal resources. By the end of the course, learners will have industry-relevant skills that can be immediately applied to data cleaning, transformation, and analysis tasks in real-world environments

• Apply Bash scripting to preprocess and manipulate structured data
• Use AWK for filtering, aggregation, and data analysis
• Combine command-line tools to extract insights from real datasets

• Basic computer and internet skills
• Ability to read English instructions and complete short practice activities