Unix Tools: Data, Software and Production Engineering

Course Description

Unlock the power of Unix tools and command-line interfaces with this comprehensive course on "Unix Tools: Data, Software and Production Engineering." This intermediate-level computer science course, offered by DelftX, is designed to equip you with essential skills for efficient information processing, data manipulation, and software development in modern digital organizations.

What students will learn from the course:

• Master the Unix command line interface and its powerful tools
• Develop proficiency in data processing, from fetching to reporting
• Enhance productivity in software development, IT management, and data analysis
• Gain hands-on experience with real-world examples and scenarios
• Learn to combine Unix commands for complex tasks and workflows
• Understand best practices and patterns for efficient Unix tool usage

Pre-requisites or skills necessary to complete the course:

• Basic understanding of programming concepts (conditions, loops)
• Familiarity with variables and simple expressions
• Ability to create and edit text files
• Understanding of file systems, directories, and tree structures
• Access to a computer running Windows, macOS, or Unix/Linux

What the course will cover:

• Introduction to Unix tools and command-line interfaces
• Input/output redirection and command grouping
• File and directory manipulation
• Scripting and execution control
• Data processing workflows
• Data fetching from various sources (remote services, archives, version control systems)
• Data generation and selection using regular expressions
• Processing techniques (sorting, sed, awk, file differences)
• Image and sound processing
• Data summarization and reporting
• Best practices and improving shell style

Who this course is for:

This course is ideal for:

1. Software developers seeking to boost their efficiency in code exploration and modification
2. IT professionals looking to enhance their ability to analyze log files, network traces, and system behavior
3. Data analysts aiming to improve their skills in handling and processing large datasets
4. Anyone interested in mastering Unix tools for increased productivity in digital environments

How learners can use these skills in the real world:

The skills acquired in this course have numerous practical applications:

1. Streamlining software development processes
2. Enhancing IT system management and troubleshooting
3. Improving data analysis workflows and efficiency
4. Automating repetitive tasks in various professional settings
5. Developing robust and flexible solutions for complex data processing challenges
6. Enhancing problem-solving capabilities in engineering and business analytics

Syllabus:

The course includes over 110 knowledge checks and five progress assessments, providing ample opportunity for hands-on practice and skill demonstration in real-life scenarios.